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Senior Staff AI Engineer - Agentic AI Platform (Remote Eligible)
Capital One Mc Lean, Virginia
Senior Staff AI Engineer - Agentic AI Platform (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. Capital One is open to hiring a Remote Employee for this opportunity What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Define and steer the technical AI architecture vision, integrating applied research breakthroughs into production ecosystems with reliability and scale Lead the establishment of AI performance, safety, and transparency standards that guide all model development and deployment company-wide Drive multi-year platform initiatives that unify data, compute and model lifecycle management under and cohesive enterprise AI architecture Mentor senior technical leaders across research, data and engineering disciplines, developing the next generation of Capital One's AI technical leadership Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience architecting AI platforms with tradeoff decisions around cost, latency, throughput and accuracy 9+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Recognized industry leader in applied AI or machine learning infrastructure through patents, publications, or open-source leadership Demonstrated experience designing long-term AI infrastructure strategies - balancing cost, scale, ethics and regulatory compliance Experience driving organization-wide adoption of AI safety, alignment and governance standards, collaborating with policy, risk and legal teams Proven ability to shape R&D investment strategy by identifying breakthrough AI capabilities with material business impact Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Staff AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Staff AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Staff AI Engineer New York, NY: $343,400 - $392,000 for Sr. Staff AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Staff AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Staff AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
09/28/2026
Full time
Senior Staff AI Engineer - Agentic AI Platform (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. Capital One is open to hiring a Remote Employee for this opportunity What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Define and steer the technical AI architecture vision, integrating applied research breakthroughs into production ecosystems with reliability and scale Lead the establishment of AI performance, safety, and transparency standards that guide all model development and deployment company-wide Drive multi-year platform initiatives that unify data, compute and model lifecycle management under and cohesive enterprise AI architecture Mentor senior technical leaders across research, data and engineering disciplines, developing the next generation of Capital One's AI technical leadership Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience architecting AI platforms with tradeoff decisions around cost, latency, throughput and accuracy 9+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Recognized industry leader in applied AI or machine learning infrastructure through patents, publications, or open-source leadership Demonstrated experience designing long-term AI infrastructure strategies - balancing cost, scale, ethics and regulatory compliance Experience driving organization-wide adoption of AI safety, alignment and governance standards, collaborating with policy, risk and legal teams Proven ability to shape R&D investment strategy by identifying breakthrough AI capabilities with material business impact Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Staff AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Staff AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Staff AI Engineer New York, NY: $343,400 - $392,000 for Sr. Staff AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Staff AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Staff AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Senior Staff AI Engineer - Agentic AI Platform (Remote Eligible)
Capital One New York, New York
Senior Staff AI Engineer - Agentic AI Platform (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. Capital One is open to hiring a Remote Employee for this opportunity What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Define and steer the technical AI architecture vision, integrating applied research breakthroughs into production ecosystems with reliability and scale Lead the establishment of AI performance, safety, and transparency standards that guide all model development and deployment company-wide Drive multi-year platform initiatives that unify data, compute and model lifecycle management under and cohesive enterprise AI architecture Mentor senior technical leaders across research, data and engineering disciplines, developing the next generation of Capital One's AI technical leadership Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience architecting AI platforms with tradeoff decisions around cost, latency, throughput and accuracy 9+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Recognized industry leader in applied AI or machine learning infrastructure through patents, publications, or open-source leadership Demonstrated experience designing long-term AI infrastructure strategies - balancing cost, scale, ethics and regulatory compliance Experience driving organization-wide adoption of AI safety, alignment and governance standards, collaborating with policy, risk and legal teams Proven ability to shape R&D investment strategy by identifying breakthrough AI capabilities with material business impact Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Staff AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Staff AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Staff AI Engineer New York, NY: $343,400 - $392,000 for Sr. Staff AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Staff AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Staff AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
09/28/2026
Full time
Senior Staff AI Engineer - Agentic AI Platform (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. Capital One is open to hiring a Remote Employee for this opportunity What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Define and steer the technical AI architecture vision, integrating applied research breakthroughs into production ecosystems with reliability and scale Lead the establishment of AI performance, safety, and transparency standards that guide all model development and deployment company-wide Drive multi-year platform initiatives that unify data, compute and model lifecycle management under and cohesive enterprise AI architecture Mentor senior technical leaders across research, data and engineering disciplines, developing the next generation of Capital One's AI technical leadership Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience architecting AI platforms with tradeoff decisions around cost, latency, throughput and accuracy 9+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Recognized industry leader in applied AI or machine learning infrastructure through patents, publications, or open-source leadership Demonstrated experience designing long-term AI infrastructure strategies - balancing cost, scale, ethics and regulatory compliance Experience driving organization-wide adoption of AI safety, alignment and governance standards, collaborating with policy, risk and legal teams Proven ability to shape R&D investment strategy by identifying breakthrough AI capabilities with material business impact Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Staff AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Staff AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Staff AI Engineer New York, NY: $343,400 - $392,000 for Sr. Staff AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Staff AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Staff AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Infrastructure Engineer-Intermediate Level
USAA San Antonio, Texas
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity We are seeking multiple dedicated Infrastructure Engineer-Intermediate Level to provide Tier 2 technical support, operational engineering, and production support for enterprise infrastructure services. This role serves as an escalation point for incidents and service requests that cannot be resolved by Tier 1 support teams and is responsible for troubleshooting, service restoration, monitoring, and operational support across server, cloud, database, network, storage, and platform technologies. Working closely with the Availability Command Center (ACC), Tier 1 Operations, Engineering Teams, and external vendors, this position provides technical expertise for infrastructure incidents, service requests, operational problems, and stability initiatives. The engineer analyzes and resolves issues related to servers, operating systems, virtualization platforms, cloud services, storage, networking, middleware, and enterprise infrastructure services. We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position will be based in San Antonio; TX. Relocation assistance is not available for this position. What you'll do: Under direct supervision, design scalable IT system infrastructure, implements system changes with some independence; may automate service delivery, maintenance tasks, and builds the ecosystem for solutions including individual infrastructure components. Provide Tier 2 support for infrastructure-related incidents, service requests, and operational issues. Troubleshoot and resolve complex production issues affecting servers, databases, cloud platforms, storage, networking, and core infrastructure services. Participate in incident response, service restoration, and Major Incident recovery activities. Monitor infrastructure health, performance, availability, and capacity. Resolves simple technology production issues with some assistance through troubleshooting systems. Identifies issues for escalation. Analyzes outages in order to identify opportunities for solutions. Participates in product selection and testing. Understands engineering best practices, concepts, and patterns. Intake customer requirements and aligns requirements to standardized product offerings Interacts with management and staff to provide analytical and technical assistance for continuous improvement of IT solutions. - and would need to be differentiated across levels. Develop software defined infrastructure in code in CI/CD Pipelines. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What You Have: Bachelor's degree; OR 4 years of relevant education and/or experience. 3-5 years of infrastructure operations experience Experience supporting 24x7 enterprise environments Experience in a NOC or an Enterprise Availability Command Center, Operations Center, or Production Support organization Experience with Site Reliability Engineering (SRE) fundamentals to supporting cloud-based infrastructure platforms Experience supporting financial services, insurance, healthcare, or other highly regulated industries What Sets You Apart: Understanding of core operating systems and virtualization: Proficiency in both Microsoft Windows Server Administration and Linux Administration (Red Hat, Ubuntu, SUSE) alongside experience with VMware vSphere and Hyper-V. Experience in foundational network services: Solid grasp of TCP/IP, DNS, and DHCP is crucial. Comprehensive cloud platform experience: Demonstrated experience with major cloud providers such as Microsoft Azure and Amazon Web Services (AWS), including hybrid cloud environments. Familiarity with containerization technologies: Experience with Docker and especially Kubernetes is a significant advantage. Proven ability in monitoring and observability tools: Hands-on experience with platforms like Dynatrace, Splunk, Datadog, or AWS CloudWatch to proactively manage and troubleshoot infrastructure. Mainframe & z/OS Skills: possess foundational to intermediate experience supporting z/OS environments, batch processing, and core mainframe infrastructure services. Strong IT Service Management (ITSM) tool proficiency: Experience with tools such as ServiceNow or Jira Service Management, coupled with a deep understanding of Incident, Change, and Problem Management processes. Experience in high-availability and disaster recovery: A solid background in SAN, NAS, enterprise storage, and implementing robust backup, recovery, and disaster recovery solutions is essential. Database support experience: Supporting one or more key databases like Microsoft SQL Server, Oracle, PostgreSQL, or MySQL, along with knowledge of monitoring and performance, adds significant value. Experience in regulated industries and 24x7 environments: Prior experience supporting critical infrastructure in financial services, healthcare, or other highly regulated sectors, especially within 24x7 operations, is a strong indicator of a candidate's ability to handle demanding environments. Compensation range: The salary range for this position is: $ 69,920 - $ 133,620 . USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
09/28/2026
Full time
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity We are seeking multiple dedicated Infrastructure Engineer-Intermediate Level to provide Tier 2 technical support, operational engineering, and production support for enterprise infrastructure services. This role serves as an escalation point for incidents and service requests that cannot be resolved by Tier 1 support teams and is responsible for troubleshooting, service restoration, monitoring, and operational support across server, cloud, database, network, storage, and platform technologies. Working closely with the Availability Command Center (ACC), Tier 1 Operations, Engineering Teams, and external vendors, this position provides technical expertise for infrastructure incidents, service requests, operational problems, and stability initiatives. The engineer analyzes and resolves issues related to servers, operating systems, virtualization platforms, cloud services, storage, networking, middleware, and enterprise infrastructure services. We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position will be based in San Antonio; TX. Relocation assistance is not available for this position. What you'll do: Under direct supervision, design scalable IT system infrastructure, implements system changes with some independence; may automate service delivery, maintenance tasks, and builds the ecosystem for solutions including individual infrastructure components. Provide Tier 2 support for infrastructure-related incidents, service requests, and operational issues. Troubleshoot and resolve complex production issues affecting servers, databases, cloud platforms, storage, networking, and core infrastructure services. Participate in incident response, service restoration, and Major Incident recovery activities. Monitor infrastructure health, performance, availability, and capacity. Resolves simple technology production issues with some assistance through troubleshooting systems. Identifies issues for escalation. Analyzes outages in order to identify opportunities for solutions. Participates in product selection and testing. Understands engineering best practices, concepts, and patterns. Intake customer requirements and aligns requirements to standardized product offerings Interacts with management and staff to provide analytical and technical assistance for continuous improvement of IT solutions. - and would need to be differentiated across levels. Develop software defined infrastructure in code in CI/CD Pipelines. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What You Have: Bachelor's degree; OR 4 years of relevant education and/or experience. 3-5 years of infrastructure operations experience Experience supporting 24x7 enterprise environments Experience in a NOC or an Enterprise Availability Command Center, Operations Center, or Production Support organization Experience with Site Reliability Engineering (SRE) fundamentals to supporting cloud-based infrastructure platforms Experience supporting financial services, insurance, healthcare, or other highly regulated industries What Sets You Apart: Understanding of core operating systems and virtualization: Proficiency in both Microsoft Windows Server Administration and Linux Administration (Red Hat, Ubuntu, SUSE) alongside experience with VMware vSphere and Hyper-V. Experience in foundational network services: Solid grasp of TCP/IP, DNS, and DHCP is crucial. Comprehensive cloud platform experience: Demonstrated experience with major cloud providers such as Microsoft Azure and Amazon Web Services (AWS), including hybrid cloud environments. Familiarity with containerization technologies: Experience with Docker and especially Kubernetes is a significant advantage. Proven ability in monitoring and observability tools: Hands-on experience with platforms like Dynatrace, Splunk, Datadog, or AWS CloudWatch to proactively manage and troubleshoot infrastructure. Mainframe & z/OS Skills: possess foundational to intermediate experience supporting z/OS environments, batch processing, and core mainframe infrastructure services. Strong IT Service Management (ITSM) tool proficiency: Experience with tools such as ServiceNow or Jira Service Management, coupled with a deep understanding of Incident, Change, and Problem Management processes. Experience in high-availability and disaster recovery: A solid background in SAN, NAS, enterprise storage, and implementing robust backup, recovery, and disaster recovery solutions is essential. Database support experience: Supporting one or more key databases like Microsoft SQL Server, Oracle, PostgreSQL, or MySQL, along with knowledge of monitoring and performance, adds significant value. Experience in regulated industries and 24x7 environments: Prior experience supporting critical infrastructure in financial services, healthcare, or other highly regulated sectors, especially within 24x7 operations, is a strong indicator of a candidate's ability to handle demanding environments. Compensation range: The salary range for this position is: $ 69,920 - $ 133,620 . USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
System Engineer III, Firewalls - Network Infrastructure and Security Engineering/Information Solutio
MUSC Adams Run, South Carolina
Job Description Job Description Job Description Summary The System Engineer III, Firewalls, reports to the Manager, Network Infrastructure and Security Engineering in support of MUSC's academic, research and healthcare missions. Areas of expertise include firewall administration, patching, VPN configuration, address translation, routing, IP address management, network segmentation, security group tags, SDWAN, dynamic routing protocols, SSO, certificate management, and advanced troubleshooting. This position serves as a subject matter expert for network security services, evaluates and resolves complex technical issues and demonstrates strong analytical and communication skills to maximize the benefit of services the team provides for Information Solutions. Generates appropriate documentation, communications, processes, and educational plans to identify and remove obstacles to, and mitigate the disruption of change related to the design, management, implementation, and operations of the network; is responsible for the timely resolution of network issues; takes a lead role in projects; participates in team and project meetings and provides input on solutions to improve efficiency. The position coaches and transfers knowledge to peers and staff, maintains high professional standards, and exhibits excellent customer service skills while performing assigned tasks. Entity MUSC Community Physicians (MCP) Worker Type Employee Worker Sub-Type Regular Cost Center CC006134 MCP - Information Solutions Pay Rate Type Salary Pay Grade Health-30 Scheduled Weekly Hours 40 Work Shift Job Description The System Engineer III, Firewalls, reports to the Manager, Network Infrastructure and Security Engineering in support of MUSC's academic, research and healthcare missions. Areas of expertise include firewall administration, patching, VPN configuration, address translation, routing, IP address management, network segmentation, security group tags, SDWAN, dynamic routing protocols, SSO, certificate management, and advanced troubleshooting. This position serves as a subject matter expert for network security services, evaluates and resolves complex technical issues and demonstrates strong analytical and communication skills to maximize the benefit of services the team provides for Information Solutions. Generates appropriate documentation, communications, processes, and educational plans to identify and remove obstacles to, and mitigate the disruption of change related to the design, management, implementation, and operations of the network; is responsible for the timely resolution of network issues; takes a lead role in projects; participates in team and project meetings and provides input on solutions to improve efficiency. The position coaches and transfers knowledge to peers and staff, maintains high professional standards, and exhibits excellent customer service skills while performing assigned tasks. Additional Job Description Requirements (Education, Work Experience, Licensure, Registry &/or Certifications) A bachelor's degree and five years directly related experience; or a high school diploma and nine years directly related experience; or a Masters' degree and 3 years directly related experience required. 7+ years of Network experience is preferred. Must possess strong interpersonal, project management, analytical and communication skills. Experience in implementing, administering, and troubleshooting network security devices, including: firewalls, network access control, and monitoring applications. Knowledge of communication or information systems. Knowledge and technical expertise in networking protocols, security, and wireless communications. If you like working with energetic enthusiastic individuals, you will enjoy your career with us! The Medical University of South Carolina is an Equal Opportunity Employer. MUSC does not discriminate on the basis of race, color, religion or belief, age, sex, national origin, gender identity, sexual orientation, disability, protected veteran status, family or parental status, or any other status protected by state laws and/or federal regulations. All qualified applicants are encouraged to apply and will receive consideration for employment based upon applicable qualifications, merit and business need. Medical University of South Carolina participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program, please click here: -verify/employees
09/28/2026
Full time
Job Description Job Description Job Description Summary The System Engineer III, Firewalls, reports to the Manager, Network Infrastructure and Security Engineering in support of MUSC's academic, research and healthcare missions. Areas of expertise include firewall administration, patching, VPN configuration, address translation, routing, IP address management, network segmentation, security group tags, SDWAN, dynamic routing protocols, SSO, certificate management, and advanced troubleshooting. This position serves as a subject matter expert for network security services, evaluates and resolves complex technical issues and demonstrates strong analytical and communication skills to maximize the benefit of services the team provides for Information Solutions. Generates appropriate documentation, communications, processes, and educational plans to identify and remove obstacles to, and mitigate the disruption of change related to the design, management, implementation, and operations of the network; is responsible for the timely resolution of network issues; takes a lead role in projects; participates in team and project meetings and provides input on solutions to improve efficiency. The position coaches and transfers knowledge to peers and staff, maintains high professional standards, and exhibits excellent customer service skills while performing assigned tasks. Entity MUSC Community Physicians (MCP) Worker Type Employee Worker Sub-Type Regular Cost Center CC006134 MCP - Information Solutions Pay Rate Type Salary Pay Grade Health-30 Scheduled Weekly Hours 40 Work Shift Job Description The System Engineer III, Firewalls, reports to the Manager, Network Infrastructure and Security Engineering in support of MUSC's academic, research and healthcare missions. Areas of expertise include firewall administration, patching, VPN configuration, address translation, routing, IP address management, network segmentation, security group tags, SDWAN, dynamic routing protocols, SSO, certificate management, and advanced troubleshooting. This position serves as a subject matter expert for network security services, evaluates and resolves complex technical issues and demonstrates strong analytical and communication skills to maximize the benefit of services the team provides for Information Solutions. Generates appropriate documentation, communications, processes, and educational plans to identify and remove obstacles to, and mitigate the disruption of change related to the design, management, implementation, and operations of the network; is responsible for the timely resolution of network issues; takes a lead role in projects; participates in team and project meetings and provides input on solutions to improve efficiency. The position coaches and transfers knowledge to peers and staff, maintains high professional standards, and exhibits excellent customer service skills while performing assigned tasks. Additional Job Description Requirements (Education, Work Experience, Licensure, Registry &/or Certifications) A bachelor's degree and five years directly related experience; or a high school diploma and nine years directly related experience; or a Masters' degree and 3 years directly related experience required. 7+ years of Network experience is preferred. Must possess strong interpersonal, project management, analytical and communication skills. Experience in implementing, administering, and troubleshooting network security devices, including: firewalls, network access control, and monitoring applications. Knowledge of communication or information systems. Knowledge and technical expertise in networking protocols, security, and wireless communications. If you like working with energetic enthusiastic individuals, you will enjoy your career with us! The Medical University of South Carolina is an Equal Opportunity Employer. MUSC does not discriminate on the basis of race, color, religion or belief, age, sex, national origin, gender identity, sexual orientation, disability, protected veteran status, family or parental status, or any other status protected by state laws and/or federal regulations. All qualified applicants are encouraged to apply and will receive consideration for employment based upon applicable qualifications, merit and business need. Medical University of South Carolina participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program, please click here: -verify/employees
Network Security Engineer
Georgia System Operations Corporation Tucker, Georgia
Job Description Job Description Network Security EngineerEngineer Secure, Resilient Network Services That Support Mission-Critical OperationsGeorgia System Operations Corporation (GSOC) is seeking a Network Security Engineer to design, implement, secure, and operate corporate network services and cybersecurity tools that enable reliable, protected business operations.This hands-on role combines enterprise network engineering and cybersecurity expertise across datacenter, campus, remote-site, internet-edge, and approved cloud environments. The Network Security Engineer helps safeguard availability, performance, secure access, and security visibility while advancing resilient, supportable, and automated network and security services.This opportunity is ideal for an experienced network and security professional who enjoys solving complex technical problems, strengthening controls, supporting incident response, mentoring peers, and collaborating across infrastructure, cybersecurity, application, service desk, and vendor teams. This is an onsite position and it is not eligible for visa sponsorshipWhat You'll DoAs a Network Security Engineer, you will engineer and support the network and network-focused security services that connect and protect enterprise users, systems, and sites.You will:Design, deploy, and support datacenter and campus switching, routing, VLANs, VRFs, high availability, capacity planning, and network segmentation.Administer next-generation firewalls, security zones, NAT, threat-prevention services, firewall policy lifecycle, and least-privilege access controls.Engineer WAN, internet-edge, remote-site, remote-access VPN, and site-to-site VPN connectivity, including integrations with identity, MFA, and device-trust services.Design and support corporate and guest wireless, controllers, access points, RF performance, 802.1X, network access control, device profiling, and secure authentication.Configure load balancers, virtual servers, pools, health monitors, persistence, TLS termination, and high-availability services.Manage the network-facing certificate lifecycle and PKI integrations.Engineer and operate secure web and DNS controls, network detection and response, security logging, SIEM integrations, and security-control health monitoring.Partner with the Security Operations Center on alert tuning, investigations, evidence gathering, and operational security use cases.Support secure DNS, DHCP, and IP address management and maintain telemetry, flow data, logging, alerting, packet analysis, and service dashboards.Maintain secure configuration baselines, backups, firmware and software lifecycle, and remediation of network-device and security-tool vulnerabilities.Automate repeatable work using APIs, scripting, and infrastructure-as-code practices.Develop and test network and security-platform recovery and failover capabilities.Prepare change and rollback plans and provide incident escalation, containment support, root-cause analysis, and vendor coordination. This role also:Works independently within established standards and change processes.Provides technical leadership for projects and mentors peers.Participates in technology evaluations, proof-of-concepts, cross-functional initiatives, backup support, and knowledge transfer. What You BringBachelor's degree in Information Technology, Computer Science, Engineering, Cybersecurity, or a related field. Equivalent combination of education, training, and directly related work experience may be considered.Ideally 5+ years of progressive experience supporting enterprise network and network-security infrastructure, including switching, routing, firewall administration, VPN, wireless, and troubleshooting.Strong knowledge of enterprise LAN/WAN, datacenter switching, routing, firewalls, VPN, wireless, NAC, load balancing, PKI and certificates, DNS, DHCP, IPAM, and secure configuration management.Hands-on experience operating cybersecurity tooling such as secure web and DNS services, network detection and response, vulnerability management, SIEM and logging integrations, and security monitoring.Experience with network and security automation using Python, PowerShell, Ansible, Terraform, APIs, or comparable tools.Working knowledge of NIST CSF, CIS Controls, incident-response practices, and applicable regulatory or industry requirements, including NERC CIP where relevant to the IT environment.Strong analytical, troubleshooting, documentation, communication, collaboration, and customer-service skills. Preferred QualificationsEnterprise Network EngineeringExperience engineering highly available datacenter, campus, WAN, internet-edge, remote-site, wireless, and VPN services.Experience with segmentation, least-privilege access, identity and MFA integrations, device trust, and network access control.Experience with load balancing, TLS termination, application delivery, certificate lifecycle management, and PKI integrations.Network Security & DetectionExperience operating next-generation firewalls, threat-prevention services, secure web or DNS controls, network detection and response, and vulnerability-management processes.Experience integrating network-security telemetry with SIEM, logging, alerting, dashboards, and incident-response workflows.Experience partnering with a SOC on investigation, tuning, containment, evidence, or root-cause activities.Automation, Resilience & OperationsExperience automating network or security operations through scripting, APIs, Ansible, Terraform, or infrastructure as code.Experience developing recovery, failover, configuration-backup, firmware-lifecycle, and vulnerability-remediation practices.Experience preparing changes, rollback plans, technical documentation, performance measures, and vendor-supported resolutions.CertificationsRelevant credentials such as CCNA, CCNP, ACP, PCNSE or equivalent firewall-vendor certification, CWNA, Security+, CISSP, AZ-700, or similar certifications are preferred. Advantages of Working at GSOCWorking at GSOC means more than just a job it's an opportunity to contribute to work that truly matters. Mission-Driven ImpactYour work supports secure, reliable corporate network services and cybersecurity capabilities used across GSOC's enterprise environment. Network Engineering & Cybersecurity DepthApply both network engineering and hands-on security expertise across switching, routing, wireless, firewalls, VPN, application delivery, monitoring, automation, and incident support. Technical Leadership & Continuous ImprovementLead technical projects, mentor peers, evaluate new technologies, automate repeatable work, and strengthen resilience, visibility, and operational supportability. Strong Values and Professional StandardsWork in an environment grounded in accountability, collaboration, integrity, security, compliance, and continuous improvement. Work Environment & BenefitsGSOC offers a professional, collaborative work environment with competitive compensation, comprehensive benefits, and a commitment to creating a respectful and inclusive workplace.Participation in an on-call rotation, emergency support, and scheduled maintenance outside normal business hours is required. Why Join GSOCAt GSOC, you will help engineer the network and security services that enable dependable business operations, secure access, security visibility, and resilient enterprise technology.You'll collaborate across infrastructure, cybersecurity, applications, service desk, and vendor teams while expanding your technical leadership and automation capabilities. Apply TodayIf you're ready to combine enterprise network engineering and cybersecurity expertise in a hands-on role supporting reliable, protected operations, we encourage you to apply. GSOC does not accept unsolicited resumes or candidate submissions from staffing agencies, search firms, or third-party recruiters. Any unsolicited resumes submitted without a valid, executed agreement will become the property of GSOC, and no placement fee will be paid. Job Posted by ApplicantPro
09/28/2026
Full time
Job Description Job Description Network Security EngineerEngineer Secure, Resilient Network Services That Support Mission-Critical OperationsGeorgia System Operations Corporation (GSOC) is seeking a Network Security Engineer to design, implement, secure, and operate corporate network services and cybersecurity tools that enable reliable, protected business operations.This hands-on role combines enterprise network engineering and cybersecurity expertise across datacenter, campus, remote-site, internet-edge, and approved cloud environments. The Network Security Engineer helps safeguard availability, performance, secure access, and security visibility while advancing resilient, supportable, and automated network and security services.This opportunity is ideal for an experienced network and security professional who enjoys solving complex technical problems, strengthening controls, supporting incident response, mentoring peers, and collaborating across infrastructure, cybersecurity, application, service desk, and vendor teams. This is an onsite position and it is not eligible for visa sponsorshipWhat You'll DoAs a Network Security Engineer, you will engineer and support the network and network-focused security services that connect and protect enterprise users, systems, and sites.You will:Design, deploy, and support datacenter and campus switching, routing, VLANs, VRFs, high availability, capacity planning, and network segmentation.Administer next-generation firewalls, security zones, NAT, threat-prevention services, firewall policy lifecycle, and least-privilege access controls.Engineer WAN, internet-edge, remote-site, remote-access VPN, and site-to-site VPN connectivity, including integrations with identity, MFA, and device-trust services.Design and support corporate and guest wireless, controllers, access points, RF performance, 802.1X, network access control, device profiling, and secure authentication.Configure load balancers, virtual servers, pools, health monitors, persistence, TLS termination, and high-availability services.Manage the network-facing certificate lifecycle and PKI integrations.Engineer and operate secure web and DNS controls, network detection and response, security logging, SIEM integrations, and security-control health monitoring.Partner with the Security Operations Center on alert tuning, investigations, evidence gathering, and operational security use cases.Support secure DNS, DHCP, and IP address management and maintain telemetry, flow data, logging, alerting, packet analysis, and service dashboards.Maintain secure configuration baselines, backups, firmware and software lifecycle, and remediation of network-device and security-tool vulnerabilities.Automate repeatable work using APIs, scripting, and infrastructure-as-code practices.Develop and test network and security-platform recovery and failover capabilities.Prepare change and rollback plans and provide incident escalation, containment support, root-cause analysis, and vendor coordination. This role also:Works independently within established standards and change processes.Provides technical leadership for projects and mentors peers.Participates in technology evaluations, proof-of-concepts, cross-functional initiatives, backup support, and knowledge transfer. What You BringBachelor's degree in Information Technology, Computer Science, Engineering, Cybersecurity, or a related field. Equivalent combination of education, training, and directly related work experience may be considered.Ideally 5+ years of progressive experience supporting enterprise network and network-security infrastructure, including switching, routing, firewall administration, VPN, wireless, and troubleshooting.Strong knowledge of enterprise LAN/WAN, datacenter switching, routing, firewalls, VPN, wireless, NAC, load balancing, PKI and certificates, DNS, DHCP, IPAM, and secure configuration management.Hands-on experience operating cybersecurity tooling such as secure web and DNS services, network detection and response, vulnerability management, SIEM and logging integrations, and security monitoring.Experience with network and security automation using Python, PowerShell, Ansible, Terraform, APIs, or comparable tools.Working knowledge of NIST CSF, CIS Controls, incident-response practices, and applicable regulatory or industry requirements, including NERC CIP where relevant to the IT environment.Strong analytical, troubleshooting, documentation, communication, collaboration, and customer-service skills. Preferred QualificationsEnterprise Network EngineeringExperience engineering highly available datacenter, campus, WAN, internet-edge, remote-site, wireless, and VPN services.Experience with segmentation, least-privilege access, identity and MFA integrations, device trust, and network access control.Experience with load balancing, TLS termination, application delivery, certificate lifecycle management, and PKI integrations.Network Security & DetectionExperience operating next-generation firewalls, threat-prevention services, secure web or DNS controls, network detection and response, and vulnerability-management processes.Experience integrating network-security telemetry with SIEM, logging, alerting, dashboards, and incident-response workflows.Experience partnering with a SOC on investigation, tuning, containment, evidence, or root-cause activities.Automation, Resilience & OperationsExperience automating network or security operations through scripting, APIs, Ansible, Terraform, or infrastructure as code.Experience developing recovery, failover, configuration-backup, firmware-lifecycle, and vulnerability-remediation practices.Experience preparing changes, rollback plans, technical documentation, performance measures, and vendor-supported resolutions.CertificationsRelevant credentials such as CCNA, CCNP, ACP, PCNSE or equivalent firewall-vendor certification, CWNA, Security+, CISSP, AZ-700, or similar certifications are preferred. Advantages of Working at GSOCWorking at GSOC means more than just a job it's an opportunity to contribute to work that truly matters. Mission-Driven ImpactYour work supports secure, reliable corporate network services and cybersecurity capabilities used across GSOC's enterprise environment. Network Engineering & Cybersecurity DepthApply both network engineering and hands-on security expertise across switching, routing, wireless, firewalls, VPN, application delivery, monitoring, automation, and incident support. Technical Leadership & Continuous ImprovementLead technical projects, mentor peers, evaluate new technologies, automate repeatable work, and strengthen resilience, visibility, and operational supportability. Strong Values and Professional StandardsWork in an environment grounded in accountability, collaboration, integrity, security, compliance, and continuous improvement. Work Environment & BenefitsGSOC offers a professional, collaborative work environment with competitive compensation, comprehensive benefits, and a commitment to creating a respectful and inclusive workplace.Participation in an on-call rotation, emergency support, and scheduled maintenance outside normal business hours is required. Why Join GSOCAt GSOC, you will help engineer the network and security services that enable dependable business operations, secure access, security visibility, and resilient enterprise technology.You'll collaborate across infrastructure, cybersecurity, applications, service desk, and vendor teams while expanding your technical leadership and automation capabilities. Apply TodayIf you're ready to combine enterprise network engineering and cybersecurity expertise in a hands-on role supporting reliable, protected operations, we encourage you to apply. GSOC does not accept unsolicited resumes or candidate submissions from staffing agencies, search firms, or third-party recruiters. Any unsolicited resumes submitted without a valid, executed agreement will become the property of GSOC, and no placement fee will be paid. Job Posted by ApplicantPro
Principal Platform Engineer
First Resonance Acton, California
Job Description Job Description Overview First Resonance builds the ION Factory OS - the operating system powering next-generation manufacturing for companies building rockets, satellites, eVTOLs, clean energy systems, robotics, and autonomous vehicles. We've invested heavily in forward-deployed engineers at the customer edge. Now we're strengthening the hub. We're hiring a Principal Platform Engineer to serve as a platform leader: someone with deep expertise in software infrastructure and architecture who has built and operated scaled, high-uptime systems . This person will help us scale our backend, raise our reliability and performance bar, and provide sharp technical judgment on infrastructure changes. What you'll do Own platform architecture at scale: Evaluate and evolve our backend architecture to support growth in customers, data volume, and product surface area. Drive reliability and uptime: Establish and improve reliability practices (SLOs/SLIs, incident response, postmortems, on-call effectiveness, capacity planning). Performance leadership: Identify systemic performance bottlenecks; lead initiatives across databases, APIs, caching, async processing, and observability. Review and de-risk change: Provide fast, high-quality technical assessment of infrastructure proposals and incoming changes (internal and vendor-driven). Build leverage for the team: Create scalable primitives (libraries, patterns, tooling, platform services) that enable product and forward-deployed teams to ship faster with less risk. Operational excellence: Improve monitoring, alerting, dashboards, deployment safety, and rollback strategies. Mentor and set the technical bar: Coach engineers on architecture, operational maturity, and high-quality execution; lead by example through hands-on delivery. Partner cross-functionally: Work closely with Product, Security, and field-deployed engineers to balance edge/customer urgency with platform durability. What success looks like (first 90 days) Produce a clear, prioritized platform assessment : current-state risks, near-term hardening plan, and a 6-12 month scaling roadmap. Reduce risk on critical paths by improving observability (service health, latency/error budgets, key dashboards) and deployment safety . Lead at least one high-impact initiative that materially improves uptime, performance, or developer velocity . Minimum qualifications 8+ years of professional software engineering experience, with significant time owning backend/platform systems in production. Demonstrated experience building and operating high-availability, high-uptime services (including incident response and postmortem culture). Strong systems thinking across distributed systems, databases, caching, queues, APIs, and cloud infrastructure. Track record of leading large technical initiatives across teams or across a complex codebase. Excellent written and verbal communication; able to explain tradeoffs clearly and drive alignment. Preferred qualifications Prior experience as a Staff/Principal Engineer (or equivalent scope) at a high-scale infrastructure org. Depth in one or more of: SRE / reliability engineering, performance engineering, database scalability, multi-tenant architectures, zero-downtime migrations. Experience building internal platforms that enable other engineers (tooling, CI/CD, shared services, paved roads). Experience in or affinity for manufacturing, industrial software, or hard-tech customer environments. Benefits & Perks Health Insurance; medical, vision, dental, & life insurance. Paid Parental Leave. Employee Stock Option Plan. Team outings, group lunches, open office, happy hours. Paid holidays, sick days. Flexible Friday and PTO. 401K. First Resonance is an equal opportunity employer dedicated to building an inclusive and diverse workforce. First Resonance participates in E-Verify. As part of our onboarding process, a new hire's Form I-9 information will be shared with the federal government to confirm they are authorized to work in the U.S. Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. First Resonance accelerates the speed and reliability of hardware development for companies manufacturing the next generation of hardware products. This includes space exploration, electric airplanes, autonomous vehicles, nuclear reactors, robotics, and more. We are a group of software, hardware, and manufacturing engineers that are bringing the best of modern UX and data science to an industry that has been overly rigid in its innovation. We are removing the barriers preventing radical advancement by providing tools to manufacturing engineers and operators to move information more freely, collaborate with their teams more easily, and use the power of data to predict problems and provide insights that result in better hardware quality and delivery. Compensation Range: $170K - $210K
09/28/2026
Full time
Job Description Job Description Overview First Resonance builds the ION Factory OS - the operating system powering next-generation manufacturing for companies building rockets, satellites, eVTOLs, clean energy systems, robotics, and autonomous vehicles. We've invested heavily in forward-deployed engineers at the customer edge. Now we're strengthening the hub. We're hiring a Principal Platform Engineer to serve as a platform leader: someone with deep expertise in software infrastructure and architecture who has built and operated scaled, high-uptime systems . This person will help us scale our backend, raise our reliability and performance bar, and provide sharp technical judgment on infrastructure changes. What you'll do Own platform architecture at scale: Evaluate and evolve our backend architecture to support growth in customers, data volume, and product surface area. Drive reliability and uptime: Establish and improve reliability practices (SLOs/SLIs, incident response, postmortems, on-call effectiveness, capacity planning). Performance leadership: Identify systemic performance bottlenecks; lead initiatives across databases, APIs, caching, async processing, and observability. Review and de-risk change: Provide fast, high-quality technical assessment of infrastructure proposals and incoming changes (internal and vendor-driven). Build leverage for the team: Create scalable primitives (libraries, patterns, tooling, platform services) that enable product and forward-deployed teams to ship faster with less risk. Operational excellence: Improve monitoring, alerting, dashboards, deployment safety, and rollback strategies. Mentor and set the technical bar: Coach engineers on architecture, operational maturity, and high-quality execution; lead by example through hands-on delivery. Partner cross-functionally: Work closely with Product, Security, and field-deployed engineers to balance edge/customer urgency with platform durability. What success looks like (first 90 days) Produce a clear, prioritized platform assessment : current-state risks, near-term hardening plan, and a 6-12 month scaling roadmap. Reduce risk on critical paths by improving observability (service health, latency/error budgets, key dashboards) and deployment safety . Lead at least one high-impact initiative that materially improves uptime, performance, or developer velocity . Minimum qualifications 8+ years of professional software engineering experience, with significant time owning backend/platform systems in production. Demonstrated experience building and operating high-availability, high-uptime services (including incident response and postmortem culture). Strong systems thinking across distributed systems, databases, caching, queues, APIs, and cloud infrastructure. Track record of leading large technical initiatives across teams or across a complex codebase. Excellent written and verbal communication; able to explain tradeoffs clearly and drive alignment. Preferred qualifications Prior experience as a Staff/Principal Engineer (or equivalent scope) at a high-scale infrastructure org. Depth in one or more of: SRE / reliability engineering, performance engineering, database scalability, multi-tenant architectures, zero-downtime migrations. Experience building internal platforms that enable other engineers (tooling, CI/CD, shared services, paved roads). Experience in or affinity for manufacturing, industrial software, or hard-tech customer environments. Benefits & Perks Health Insurance; medical, vision, dental, & life insurance. Paid Parental Leave. Employee Stock Option Plan. Team outings, group lunches, open office, happy hours. Paid holidays, sick days. Flexible Friday and PTO. 401K. First Resonance is an equal opportunity employer dedicated to building an inclusive and diverse workforce. First Resonance participates in E-Verify. As part of our onboarding process, a new hire's Form I-9 information will be shared with the federal government to confirm they are authorized to work in the U.S. Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. First Resonance accelerates the speed and reliability of hardware development for companies manufacturing the next generation of hardware products. This includes space exploration, electric airplanes, autonomous vehicles, nuclear reactors, robotics, and more. We are a group of software, hardware, and manufacturing engineers that are bringing the best of modern UX and data science to an industry that has been overly rigid in its innovation. We are removing the barriers preventing radical advancement by providing tools to manufacturing engineers and operators to move information more freely, collaborate with their teams more easily, and use the power of data to predict problems and provide insights that result in better hardware quality and delivery. Compensation Range: $170K - $210K
Network Security Engineer
MDVIP LLC Boca Raton, Florida
Job Description Job Description Description: MDVIP: Transforming Primary Care, One Patient at a Time MDVIP is a national leader in personalized healthcare, empowering over 425,000 members to achieve their health and wellness goals through a network of more than 1,400 concierge primary care physicians. Our program emphasizes preventive medicine, offering comprehensive screenings, advanced diagnostics, and individualized wellness plans. Recognized as a Great Place to Work since 2018, MDVIP is committed to excellence in patient care and employee satisfaction. Position Summary The Network Security Engineer is an individual contributor role reporting to the Sr. Network Operations Manager. This is a contract-to-perm position (6-month contract), based in Boca Raton, FL (Hybrid), supporting the Boca Raton and Atlanta (ATL) data centers. This role provides dedicated engineering capacity for the ownership, hardening, and reliability of the organization's on-premises and hybrid infrastructure. The Network Security Engineer sustains a predictable remediation cadence across recurring security obligations - including monthly patching, zero-day response, vulnerability remediation, OS hardening, and cloud security score - while maintaining core platform services that underpin 24/7 operational reliability. This role is critical to reducing key-person risk, closing the capacity gap between rising compliance/audit workloads and existing staffing, and ensuring remediation tied to penetration tests, annual Security Risk Assessments (SRAs), and HIPAA assessments is completed on schedule. Key Responsibilities Security Remediation & Compliance Execute remediation for findings from penetration tests, annual Security Risk Assessments (SRAs), and HIPAA assessments, ensuring items are tracked to closure within defined SLAs; work with Project Managers, technology stack owners, and third-party resources to ensure timely delivery. Lead monthly patching cycles and rapid zero-day response across on-prem and hybrid server environments. Apply security remediations on infrastructure appliances including Cisco switches, firewalls (Palo Alto, Fortinet, Cisco Meraki), Linux appliances, and the virtual server environment and SANs (VMware, vSphere). Perform vulnerability remediation and OS/system hardening in line with established security baselines and audit requirements. Maintain a remediation burndown and support reporting on patch/vulnerability KPIs, including critical remediation timelines and cloud security score. Core Platform & Infrastructure Ownership Track Azure Security Score trends and drive remediation of flagged recommendations, providing regular posture reporting to leadership and audit stakeholders. Manage the full PKI infrastructure/SSL certificate lifecycle, including issuance, renewal, tracking, and remediation of expiring or non-compliant certificates, and manage key vault rotations for critical cloud-hosted applications. Utilize automation tools to deploy required machine certificates across the organization. Manage syslog retention and forwarding across on-premises and cloud infrastructure, supporting the Security team's SIEM ingestion, correlation, and compliance reporting needs. Administer network micro-segmentation using Illumio, including policy design, enforcement, and ongoing tuning. Review and administer security tools to harden network edge security, including next generation firewalls, SD-WAN, and switching, striving for zero trust networks. Manage wireless security, including network access control (NAC), utilizing Cisco wireless and HPE Aruba ClearPass. Administer Identity and Access Management/Privileged Access Management (IAM/PAM) using BeyondTrust for remote server access, including access reviews and privileged session controls. Manage and review Azure RBAC roles and access privileges, and perform Active Directory hardening in compliance with discovered vulnerabilities and best practices. Review and secure SDLC servers and hosted applications, both on-premises and in Azure, applying measures to keep all public endpoints secure. Operational Reliability & Risk Reduction Balance day-to-day operational demands (SSL renewals/rotations, security remediation, configuration hardening, troubleshooting) with planned, time-bound deliverables. Identify and reduce single-point-of-failure risk by documenting procedures and cross-training across PKI, AD, cloud access, segmentation, and patching functions. Partner with the Azure DevOps and Security teams to align on-prem/hybrid remediation with broader cloud governance and security initiatives. Escalate emerging risks, audit exceptions, and outage-driving conflicts between operational and remediation priorities to leadership. Key Competencies Analytical: synthesizes complex or diverse technical information, using intuition and experience to complement data. Collaboration: openly partners with security operations, DevOps, and business stakeholders, valuing diverse perspectives and building productive relationships. Communication: listens and responds effectively to stakeholder needs; writes and speaks clearly and persuasively. Initiative and personal accountability: identifies and creates solutions independently, sets and meets deadlines, and reports timely and prepared. Problem solving/decision making: thinks strategically, drawing on diverse sources to identify issues, risks, and trends and determine optimal, timely solutions. Strong troubleshooting skills and the ability to manage competing priorities between reactive operational work and scheduled remediation projects. Ability to support 24/7 platform reliability, including scheduled evening and weekend work for monthly patching cycles, zero-day response, and maintenance outside normal business hours. Ability to travel periodically between the Boca Raton, FL and Atlanta (ATL) data centers as needed. Requirements: Qualifications Required Qualifications Bachelor's degree in Computer Science, Information Security, or a related field; at least five (5) years of related business experience in network security, systems engineering, or infrastructure operations in an enterprise environment, or an equivalent combination of education and professional experience. Hands-on experience with both on-premises and cloud infrastructure platforms, including vulnerability management, patch management, and OS hardening across Windows and/or Linux server environments. Experience with PKI/SSL certificate lifecycle management and IAM/PAM tools (e.g., BeyondTrust or equivalent). Experience partnering with security operations/SIEM teams to onboard new log sources and ensure reliable syslog delivery from network infrastructure. Working knowledge of hybrid Active Directory/Microsoft Entra ID environments and familiarity with network segmentation concepts and tools (e.g., Illumio or comparable micro-segmentation platforms). Experience supporting audit and compliance remediation cycles, such as HIPAA assessments, SRAs, or penetration test findings. Proficiency with firewalls and network security appliances (Palo Alto, Fortinet, Cisco Meraki, Cisco switches), SD-WAN/next-generation firewall administration, and wireless security/NAC (Cisco wireless, HPE Aruba ClearPass). This is a hybrid role based in Boca Raton, FL, with periodic on-site support required at the Boca Raton and Atlanta (ATL) data centers. At no time may work be performed, or computer systems accessed, from outside of the U.S. Preferred Qualifications Vendor-specific certifications, Microsoft Azure, Security+, CISSP, GIAC, or an equivalent security certification. Scripting/automation experience (e.g., PowerShell) for remediation and hardening tasks. Why Join MDVIP? Be part of a mission-driven organization leading innovation in personalized healthcare. Drive transformation and growth in a dynamic, fast-paced environment. Competitive Compensation: Attractive base salary complemented by performance-based incentives. Comprehensive Benefits: Health, dental, vision insurance, and retirement plans. Professional Development: Access to ongoing training and leadership development programs. Positive Work Environment: Consistently recognized as a Great Place to Work , fostering a culture of collaboration and excellence. MDVIP is an Equal Opportunity Employer and is committed to fostering an inclusive and diverse workplace. We welcome applicants of all backgrounds and do not discriminate based on race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other protected status. We believe that diversity and inclusion drive innovation and strengthen our company culture. If you require accommodations during the application or interview process, please let us know, and we will be happy to assist. Pay Transparency: Our compensation reflects the cost of labor across appropriate US geographic markets. Pay is based on several factors including but not limited to market location and may vary depending on job-related knowledge, skills, and education/training and a candidate's work experience. Hired applicants are offered annual incentive compensation programs, subject to applicable eligibility requirements . click apply for full job details
09/28/2026
Full time
Job Description Job Description Description: MDVIP: Transforming Primary Care, One Patient at a Time MDVIP is a national leader in personalized healthcare, empowering over 425,000 members to achieve their health and wellness goals through a network of more than 1,400 concierge primary care physicians. Our program emphasizes preventive medicine, offering comprehensive screenings, advanced diagnostics, and individualized wellness plans. Recognized as a Great Place to Work since 2018, MDVIP is committed to excellence in patient care and employee satisfaction. Position Summary The Network Security Engineer is an individual contributor role reporting to the Sr. Network Operations Manager. This is a contract-to-perm position (6-month contract), based in Boca Raton, FL (Hybrid), supporting the Boca Raton and Atlanta (ATL) data centers. This role provides dedicated engineering capacity for the ownership, hardening, and reliability of the organization's on-premises and hybrid infrastructure. The Network Security Engineer sustains a predictable remediation cadence across recurring security obligations - including monthly patching, zero-day response, vulnerability remediation, OS hardening, and cloud security score - while maintaining core platform services that underpin 24/7 operational reliability. This role is critical to reducing key-person risk, closing the capacity gap between rising compliance/audit workloads and existing staffing, and ensuring remediation tied to penetration tests, annual Security Risk Assessments (SRAs), and HIPAA assessments is completed on schedule. Key Responsibilities Security Remediation & Compliance Execute remediation for findings from penetration tests, annual Security Risk Assessments (SRAs), and HIPAA assessments, ensuring items are tracked to closure within defined SLAs; work with Project Managers, technology stack owners, and third-party resources to ensure timely delivery. Lead monthly patching cycles and rapid zero-day response across on-prem and hybrid server environments. Apply security remediations on infrastructure appliances including Cisco switches, firewalls (Palo Alto, Fortinet, Cisco Meraki), Linux appliances, and the virtual server environment and SANs (VMware, vSphere). Perform vulnerability remediation and OS/system hardening in line with established security baselines and audit requirements. Maintain a remediation burndown and support reporting on patch/vulnerability KPIs, including critical remediation timelines and cloud security score. Core Platform & Infrastructure Ownership Track Azure Security Score trends and drive remediation of flagged recommendations, providing regular posture reporting to leadership and audit stakeholders. Manage the full PKI infrastructure/SSL certificate lifecycle, including issuance, renewal, tracking, and remediation of expiring or non-compliant certificates, and manage key vault rotations for critical cloud-hosted applications. Utilize automation tools to deploy required machine certificates across the organization. Manage syslog retention and forwarding across on-premises and cloud infrastructure, supporting the Security team's SIEM ingestion, correlation, and compliance reporting needs. Administer network micro-segmentation using Illumio, including policy design, enforcement, and ongoing tuning. Review and administer security tools to harden network edge security, including next generation firewalls, SD-WAN, and switching, striving for zero trust networks. Manage wireless security, including network access control (NAC), utilizing Cisco wireless and HPE Aruba ClearPass. Administer Identity and Access Management/Privileged Access Management (IAM/PAM) using BeyondTrust for remote server access, including access reviews and privileged session controls. Manage and review Azure RBAC roles and access privileges, and perform Active Directory hardening in compliance with discovered vulnerabilities and best practices. Review and secure SDLC servers and hosted applications, both on-premises and in Azure, applying measures to keep all public endpoints secure. Operational Reliability & Risk Reduction Balance day-to-day operational demands (SSL renewals/rotations, security remediation, configuration hardening, troubleshooting) with planned, time-bound deliverables. Identify and reduce single-point-of-failure risk by documenting procedures and cross-training across PKI, AD, cloud access, segmentation, and patching functions. Partner with the Azure DevOps and Security teams to align on-prem/hybrid remediation with broader cloud governance and security initiatives. Escalate emerging risks, audit exceptions, and outage-driving conflicts between operational and remediation priorities to leadership. Key Competencies Analytical: synthesizes complex or diverse technical information, using intuition and experience to complement data. Collaboration: openly partners with security operations, DevOps, and business stakeholders, valuing diverse perspectives and building productive relationships. Communication: listens and responds effectively to stakeholder needs; writes and speaks clearly and persuasively. Initiative and personal accountability: identifies and creates solutions independently, sets and meets deadlines, and reports timely and prepared. Problem solving/decision making: thinks strategically, drawing on diverse sources to identify issues, risks, and trends and determine optimal, timely solutions. Strong troubleshooting skills and the ability to manage competing priorities between reactive operational work and scheduled remediation projects. Ability to support 24/7 platform reliability, including scheduled evening and weekend work for monthly patching cycles, zero-day response, and maintenance outside normal business hours. Ability to travel periodically between the Boca Raton, FL and Atlanta (ATL) data centers as needed. Requirements: Qualifications Required Qualifications Bachelor's degree in Computer Science, Information Security, or a related field; at least five (5) years of related business experience in network security, systems engineering, or infrastructure operations in an enterprise environment, or an equivalent combination of education and professional experience. Hands-on experience with both on-premises and cloud infrastructure platforms, including vulnerability management, patch management, and OS hardening across Windows and/or Linux server environments. Experience with PKI/SSL certificate lifecycle management and IAM/PAM tools (e.g., BeyondTrust or equivalent). Experience partnering with security operations/SIEM teams to onboard new log sources and ensure reliable syslog delivery from network infrastructure. Working knowledge of hybrid Active Directory/Microsoft Entra ID environments and familiarity with network segmentation concepts and tools (e.g., Illumio or comparable micro-segmentation platforms). Experience supporting audit and compliance remediation cycles, such as HIPAA assessments, SRAs, or penetration test findings. Proficiency with firewalls and network security appliances (Palo Alto, Fortinet, Cisco Meraki, Cisco switches), SD-WAN/next-generation firewall administration, and wireless security/NAC (Cisco wireless, HPE Aruba ClearPass). This is a hybrid role based in Boca Raton, FL, with periodic on-site support required at the Boca Raton and Atlanta (ATL) data centers. At no time may work be performed, or computer systems accessed, from outside of the U.S. Preferred Qualifications Vendor-specific certifications, Microsoft Azure, Security+, CISSP, GIAC, or an equivalent security certification. Scripting/automation experience (e.g., PowerShell) for remediation and hardening tasks. Why Join MDVIP? Be part of a mission-driven organization leading innovation in personalized healthcare. Drive transformation and growth in a dynamic, fast-paced environment. Competitive Compensation: Attractive base salary complemented by performance-based incentives. Comprehensive Benefits: Health, dental, vision insurance, and retirement plans. Professional Development: Access to ongoing training and leadership development programs. Positive Work Environment: Consistently recognized as a Great Place to Work , fostering a culture of collaboration and excellence. MDVIP is an Equal Opportunity Employer and is committed to fostering an inclusive and diverse workplace. We welcome applicants of all backgrounds and do not discriminate based on race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other protected status. We believe that diversity and inclusion drive innovation and strengthen our company culture. If you require accommodations during the application or interview process, please let us know, and we will be happy to assist. Pay Transparency: Our compensation reflects the cost of labor across appropriate US geographic markets. Pay is based on several factors including but not limited to market location and may vary depending on job-related knowledge, skills, and education/training and a candidate's work experience. Hired applicants are offered annual incentive compensation programs, subject to applicable eligibility requirements . click apply for full job details
Staff / Principal Platform Engineer
AppGate Cybersecurity, Inc. New York, New York
Job Description Job Description Staff / Principal Platform Engineer Location: New York City Hybrid Department: AI Platform & Infrastructure Team Reports to: Vangie Shue - Principal Engineering Manager About AppGate AppGate secures and protects an organization's most valuable assets with its high performance Zero Trust Network Access (ZTNA) solution and Cyber Advisory Services. AppGate ZTNA is the only direct-routed Zero Trust solution built for peak performance, superior protection and seamless interoperability. AppGate Cyber Advisory Services harden your security posture and ensure business continuity. AppGate safeguards Fortune 500 enterprises and government agencies worldwide. Learn more at About the Role As we expand our platform, we are standing up a new AI Platform & Infrastructure team: the engine room of AppGate's AI strategy. This team owns the infrastructure layer that every next-generation security capability is built on, from network observability to AI-driven threat detection and the secure operation of emerging Agentic AI systems. We're looking for a Staff or Principal Platform Engineer to build and operate the foundational platform behind AppGate's AI products. You combine deep DevOps and cloud infrastructure expertise with hands-on experience operationalizing AI/ML systems, and you treat observability as a first-class engineering discipline. This is a rare opportunity to join a small, private, high-impact company where your work directly shapes the architecture, reliability and core platform that defines the future of security. You'll own the platform spanning APIs, cloud and self-managed solutions and AI/ML infrastructure, and you'll make it fast, reliable and observable at scale. This is a high-leverage, hands-on role for a senior engineer who sets technical direction and still ships. Key Responsibilities Build the Platform: design, build and operate the cloud infrastructure, services and pipelines that AppGate's AI and cloud products run on. Strong experience with self-managed technologies (kafka, elasticsearch) and Kubernetes are a must. Infrastructure as Code & Deployment Orchestration: Terraform and Helm for cloud provisioning, service deployment and configuration management. Implement Observability: instrument APIs, cloud services and AI/ML infrastructure with metrics, logging, tracing and alerting, and define SLOs and operational health metrics that teams trust. Data Platform: real-time and batch data ingestion pipelines, feature stores and data quality. Integrations: third-party connectors, APIs and platform integrations. Operationalize AI/ML: build model serving and inference pipelines, experiment tracking and the MLOps tooling for deployment, versioning, drift monitoring and lifecycle management. Engineer for reliability & automation: apply SRE practices to reduce toil, improve resilience and keep latency and uptime within target across the platform. Automate everything - deliver infrastructure-as-code, CI/CD and self-service tooling so product teams ship safely and quickly. Set technical direction: define platform standards, architecture and best practices, and raise the engineering bar through design reviews and mentorship. Collaborate cross-functionally: partner with data scientists, product teams and leadership to align platform investment with AppGate's strategic vision. Required Qualifications Experience: extensive platform, infrastructure or SRE engineering experience, with a track record of operating production systems at scale. Staff-level candidates typically bring 8+ years and Principal-level candidates 12+ years, though we hire on demonstrated impact. DevOps depth: strong command of infrastructure-as-code (Terraform or equivalent), CI/CD, containers and orchestration (Docker, Kubernetes), and cloud platforms (AWS). Observability expertise: hands-on experience implementing observability across APIs, cloud services and distributed systems using tools such as Prometheus, Grafana, OpenTelemetry, the ELK stack or comparable, including SLO and error-budget practice. Data platform skills: familiarity with real-time and batch ingestion pipelines, feature stores and data quality at production scale. Engineering craft: fluency in a primary backend language (Python, Go or similar) and a strong bias toward automation, testing and reliable, maintainable systems. Leadership: a record of setting technical direction, leading complex initiatives across teams, mentoring senior engineers, while still being very hands-on. Mindset: pragmatic, rigorous and ownership-driven. You thrive in a small, fast-moving environment and enjoy building foundations others depend on. Preferred Qualifications AI/ML infrastructure: experience building or operating model serving, inference pipelines and MLOps tooling such as MLflow, Kubeflow, SageMaker or equivalent, including model deployment, versioning and drift monitoring. Networking & Zero Trust fundamentals: working knowledge of the network and routing layer beneath modern access solutions - TCP/IP, TLS, tunneling/overlay networks, packet routing and filtering, DNS and firewalling - and familiarity with Zero Trust Network Access (ZTNA) or adjacent domains (VPN, SDP, SASE, software-defined networking). You can reason about traffic paths, latency and throughput end-to-end, and instrument the network as a first-class observability signal. Compensation Staff: 185k-225k base Principal: 215k-270k base We offer performance bonuses and considerable equity. AppGate is An Equal Opportunity/Affirmative Action Employer and a federal contractor subject to the Rehabilitation Act of 1973 and the Vietnam Era Veterans Readjustment Assistance Act of 1974 as amended, and their corresponding regulations. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class. Further, AppGate is an affirmative action employer committed to taking positive steps to employ, advance in employment and otherwise afford equal employment opportunity to protected veterans and individuals with disabilities. In furtherance of AppGate's policy regarding affirmative action and equal employment opportunity, AppGate has developed a written affirmative action program. This program is available for review upon request by any applicant or employee during normal business hours by contacting the company's EEO Coordinator.
09/28/2026
Full time
Job Description Job Description Staff / Principal Platform Engineer Location: New York City Hybrid Department: AI Platform & Infrastructure Team Reports to: Vangie Shue - Principal Engineering Manager About AppGate AppGate secures and protects an organization's most valuable assets with its high performance Zero Trust Network Access (ZTNA) solution and Cyber Advisory Services. AppGate ZTNA is the only direct-routed Zero Trust solution built for peak performance, superior protection and seamless interoperability. AppGate Cyber Advisory Services harden your security posture and ensure business continuity. AppGate safeguards Fortune 500 enterprises and government agencies worldwide. Learn more at About the Role As we expand our platform, we are standing up a new AI Platform & Infrastructure team: the engine room of AppGate's AI strategy. This team owns the infrastructure layer that every next-generation security capability is built on, from network observability to AI-driven threat detection and the secure operation of emerging Agentic AI systems. We're looking for a Staff or Principal Platform Engineer to build and operate the foundational platform behind AppGate's AI products. You combine deep DevOps and cloud infrastructure expertise with hands-on experience operationalizing AI/ML systems, and you treat observability as a first-class engineering discipline. This is a rare opportunity to join a small, private, high-impact company where your work directly shapes the architecture, reliability and core platform that defines the future of security. You'll own the platform spanning APIs, cloud and self-managed solutions and AI/ML infrastructure, and you'll make it fast, reliable and observable at scale. This is a high-leverage, hands-on role for a senior engineer who sets technical direction and still ships. Key Responsibilities Build the Platform: design, build and operate the cloud infrastructure, services and pipelines that AppGate's AI and cloud products run on. Strong experience with self-managed technologies (kafka, elasticsearch) and Kubernetes are a must. Infrastructure as Code & Deployment Orchestration: Terraform and Helm for cloud provisioning, service deployment and configuration management. Implement Observability: instrument APIs, cloud services and AI/ML infrastructure with metrics, logging, tracing and alerting, and define SLOs and operational health metrics that teams trust. Data Platform: real-time and batch data ingestion pipelines, feature stores and data quality. Integrations: third-party connectors, APIs and platform integrations. Operationalize AI/ML: build model serving and inference pipelines, experiment tracking and the MLOps tooling for deployment, versioning, drift monitoring and lifecycle management. Engineer for reliability & automation: apply SRE practices to reduce toil, improve resilience and keep latency and uptime within target across the platform. Automate everything - deliver infrastructure-as-code, CI/CD and self-service tooling so product teams ship safely and quickly. Set technical direction: define platform standards, architecture and best practices, and raise the engineering bar through design reviews and mentorship. Collaborate cross-functionally: partner with data scientists, product teams and leadership to align platform investment with AppGate's strategic vision. Required Qualifications Experience: extensive platform, infrastructure or SRE engineering experience, with a track record of operating production systems at scale. Staff-level candidates typically bring 8+ years and Principal-level candidates 12+ years, though we hire on demonstrated impact. DevOps depth: strong command of infrastructure-as-code (Terraform or equivalent), CI/CD, containers and orchestration (Docker, Kubernetes), and cloud platforms (AWS). Observability expertise: hands-on experience implementing observability across APIs, cloud services and distributed systems using tools such as Prometheus, Grafana, OpenTelemetry, the ELK stack or comparable, including SLO and error-budget practice. Data platform skills: familiarity with real-time and batch ingestion pipelines, feature stores and data quality at production scale. Engineering craft: fluency in a primary backend language (Python, Go or similar) and a strong bias toward automation, testing and reliable, maintainable systems. Leadership: a record of setting technical direction, leading complex initiatives across teams, mentoring senior engineers, while still being very hands-on. Mindset: pragmatic, rigorous and ownership-driven. You thrive in a small, fast-moving environment and enjoy building foundations others depend on. Preferred Qualifications AI/ML infrastructure: experience building or operating model serving, inference pipelines and MLOps tooling such as MLflow, Kubeflow, SageMaker or equivalent, including model deployment, versioning and drift monitoring. Networking & Zero Trust fundamentals: working knowledge of the network and routing layer beneath modern access solutions - TCP/IP, TLS, tunneling/overlay networks, packet routing and filtering, DNS and firewalling - and familiarity with Zero Trust Network Access (ZTNA) or adjacent domains (VPN, SDP, SASE, software-defined networking). You can reason about traffic paths, latency and throughput end-to-end, and instrument the network as a first-class observability signal. Compensation Staff: 185k-225k base Principal: 215k-270k base We offer performance bonuses and considerable equity. AppGate is An Equal Opportunity/Affirmative Action Employer and a federal contractor subject to the Rehabilitation Act of 1973 and the Vietnam Era Veterans Readjustment Assistance Act of 1974 as amended, and their corresponding regulations. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class. Further, AppGate is an affirmative action employer committed to taking positive steps to employ, advance in employment and otherwise afford equal employment opportunity to protected veterans and individuals with disabilities. In furtherance of AppGate's policy regarding affirmative action and equal employment opportunity, AppGate has developed a written affirmative action program. This program is available for review upon request by any applicant or employee during normal business hours by contacting the company's EEO Coordinator.
Senior Network Security Engineer
Penumbra Alameda, California
Job Description Job Description As a Senior Network Security Engineer at Penumbra, you will play a critical role in determining the company's long term goals. You will be a key member of the Information Security and Compliance team. This is a highly technical, hands-on role. The Sr. Network Engineer will collaborate with Security, IT, Manufacturing, and Engineering teams and be responsible for engineering solutions and supporting operational activities across a hybrid cloud environment. The role responsibilities include ensuring compliance with legal and regulatory requirements and maintaining company security policies, standards, and industry's best practices. What You'll Work On • Ensure the network security of on-premises and cloud-based systems, networks, infrastructure, and services. • Enforce secure design standards and specifications for services, systems, and products. • Responsible for network security solutions, control designs, and enforcement across our environment. • Design and perform security assessments, configuration verification, configuration reporting, and other activities to validate control effectiveness. • Engage and share results of security audits with the Information Security and business partners to promote changes vital to improve risk posture. • Collaborate with cross-functional teams to develop and implement security measures supporting on-prem and cloud systems. • Develop roadmaps, standards, and documentation for technical solutions and existing configurations. Serve as the subject matter expert across the network security environment. • Respond to and lead, as appropriate, incident response activities for security incidents. • Collaborate with IT and line of business teams to integrate security into new and existing systems, processes, and initiatives. • Manage and configure security services, e.g., firewalls, intrusion detection/prevention systems, threat prevention technologies, VPNs, and other network security appliances. • Create and maintain documentation for security procedures, designs, and protocols, conduct security training and awareness for staff as appropriate to the role. • Stay current with emerging security threats and technologies in the security landscape. Ensure compliance with regulatory requirements and industry standards in the Company's environment. What You Contribute • A Bachelor's degree in computer science or related field with 10+ years of related experience, or equivalent combination of education and experience. • Master's degree preferred in Computer Science or Engineering with an emphasis in Computer Security or a related field • Highly analytical and results and process-oriented mindset strongly desired • 10+ years of hands-on design, enforcement and testing/validation of offensive security, defensive security, systems, and solutions engineering in a large enterprise • 5+ years of hands-on security experience with cloud platforms, i.e., Azure, AWS or Google Cloud Platform services, automation, or IaC • 5+ years of hands-on experience network security experience and expert-level knowledge on security technologies such as Palo Alto Firewalls, Cisco ISE, IPS, CASB, VPN management, SAML/OIDC NAC 802.1X, SIEM, SOAR, Radius/TACACS+, directory services • Proficient with network topologies, routing protocols, i.e., OSPF, BGP, ISIS, SDN, and tunneling technologies. • Proficient with diagramming and threat models, ability and competency to design and implement controls at scale based on risks • Proficient in conducting solutions architecture, security design reviews, passionate about security and privacy research, technologies, and methods. • Possess an understanding of past and emerging security exploits, threat actor motivations, and trends • Understanding security and compliance frameworks, security engineering, software delivery, and SDLC in a hybrid environment • Outstanding ethical standards and integrity. • Excellent communicator with strong oral, written, and interpersonal communication skills • High degree of accuracy and attention to detail • Proficiency with Microsoft Word, Excel, Visio, and PowerPoint • Excellent organizational skills with the ability to prioritize assignments while handling various projects simultaneously. Working Conditions General office environment. Willingness and ability to work on site. May have business travel up to 10%. Requires some lifting and moving of up to 10 pounds Must be able to move between buildings and floors. Must be able to remain stationary and use a computer or other standard office equipment, such as a printer or copy machine, for an extensive period of time each day. Must be able to read, prepare emails, and produce documents and spreadsheets. Must be able to move within the office and access file cabinets or supplies, as needed. Must be able to communicate and exchange accurate information with employees at all levels on a daily basis. Annual Base Salary Range: $146,000 - $220,000/ year We offer a competitive compensation package plus a benefits and equity program, when applicable. Individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. What We Offer • A collaborative teamwork environment where learning is constant, and performance is rewarded. • The opportunity to be part of the team that is revolutionizing the treatment of some of the world's most devastating diseases. • A generous benefits package for eligible employees that includes medical, dental, vision, life, AD&D, short and long-term disability insurance, 401(k) with employer match, paid parental leave, eleven paid company holidays per year, a minimum of fifteen days of accrued vacation per year, which increases with tenure, and paid sick time in compliance with applicable law(s). Penumbra, Inc., headquartered in Alameda, California, is a global healthcare company focused on innovative therapies. Penumbra designs, develops, manufactures, and markets novel products and has a broad portfolio that addresses challenging medical conditions in markets with significant unmet need. Penumbra sells its products to hospitals and healthcare providers primarily through its direct sales organization in the United States, most of Europe, Canada, and Australia, and through distributors in select international markets. The Penumbra logo is a trademark of Penumbra, Inc. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, age, disability, military or veteran status, or any other characteristic protected by federal, state, or local laws. If you reside in the State of California, please also refer to Penumbra's Privacy Notice for California Residents. For additional information on Penumbra's commitment to being an equal opportunity employer, please see Penumbra's AAP Policy Statement.
09/28/2026
Full time
Job Description Job Description As a Senior Network Security Engineer at Penumbra, you will play a critical role in determining the company's long term goals. You will be a key member of the Information Security and Compliance team. This is a highly technical, hands-on role. The Sr. Network Engineer will collaborate with Security, IT, Manufacturing, and Engineering teams and be responsible for engineering solutions and supporting operational activities across a hybrid cloud environment. The role responsibilities include ensuring compliance with legal and regulatory requirements and maintaining company security policies, standards, and industry's best practices. What You'll Work On • Ensure the network security of on-premises and cloud-based systems, networks, infrastructure, and services. • Enforce secure design standards and specifications for services, systems, and products. • Responsible for network security solutions, control designs, and enforcement across our environment. • Design and perform security assessments, configuration verification, configuration reporting, and other activities to validate control effectiveness. • Engage and share results of security audits with the Information Security and business partners to promote changes vital to improve risk posture. • Collaborate with cross-functional teams to develop and implement security measures supporting on-prem and cloud systems. • Develop roadmaps, standards, and documentation for technical solutions and existing configurations. Serve as the subject matter expert across the network security environment. • Respond to and lead, as appropriate, incident response activities for security incidents. • Collaborate with IT and line of business teams to integrate security into new and existing systems, processes, and initiatives. • Manage and configure security services, e.g., firewalls, intrusion detection/prevention systems, threat prevention technologies, VPNs, and other network security appliances. • Create and maintain documentation for security procedures, designs, and protocols, conduct security training and awareness for staff as appropriate to the role. • Stay current with emerging security threats and technologies in the security landscape. Ensure compliance with regulatory requirements and industry standards in the Company's environment. What You Contribute • A Bachelor's degree in computer science or related field with 10+ years of related experience, or equivalent combination of education and experience. • Master's degree preferred in Computer Science or Engineering with an emphasis in Computer Security or a related field • Highly analytical and results and process-oriented mindset strongly desired • 10+ years of hands-on design, enforcement and testing/validation of offensive security, defensive security, systems, and solutions engineering in a large enterprise • 5+ years of hands-on security experience with cloud platforms, i.e., Azure, AWS or Google Cloud Platform services, automation, or IaC • 5+ years of hands-on experience network security experience and expert-level knowledge on security technologies such as Palo Alto Firewalls, Cisco ISE, IPS, CASB, VPN management, SAML/OIDC NAC 802.1X, SIEM, SOAR, Radius/TACACS+, directory services • Proficient with network topologies, routing protocols, i.e., OSPF, BGP, ISIS, SDN, and tunneling technologies. • Proficient with diagramming and threat models, ability and competency to design and implement controls at scale based on risks • Proficient in conducting solutions architecture, security design reviews, passionate about security and privacy research, technologies, and methods. • Possess an understanding of past and emerging security exploits, threat actor motivations, and trends • Understanding security and compliance frameworks, security engineering, software delivery, and SDLC in a hybrid environment • Outstanding ethical standards and integrity. • Excellent communicator with strong oral, written, and interpersonal communication skills • High degree of accuracy and attention to detail • Proficiency with Microsoft Word, Excel, Visio, and PowerPoint • Excellent organizational skills with the ability to prioritize assignments while handling various projects simultaneously. Working Conditions General office environment. Willingness and ability to work on site. May have business travel up to 10%. Requires some lifting and moving of up to 10 pounds Must be able to move between buildings and floors. Must be able to remain stationary and use a computer or other standard office equipment, such as a printer or copy machine, for an extensive period of time each day. Must be able to read, prepare emails, and produce documents and spreadsheets. Must be able to move within the office and access file cabinets or supplies, as needed. Must be able to communicate and exchange accurate information with employees at all levels on a daily basis. Annual Base Salary Range: $146,000 - $220,000/ year We offer a competitive compensation package plus a benefits and equity program, when applicable. Individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. What We Offer • A collaborative teamwork environment where learning is constant, and performance is rewarded. • The opportunity to be part of the team that is revolutionizing the treatment of some of the world's most devastating diseases. • A generous benefits package for eligible employees that includes medical, dental, vision, life, AD&D, short and long-term disability insurance, 401(k) with employer match, paid parental leave, eleven paid company holidays per year, a minimum of fifteen days of accrued vacation per year, which increases with tenure, and paid sick time in compliance with applicable law(s). Penumbra, Inc., headquartered in Alameda, California, is a global healthcare company focused on innovative therapies. Penumbra designs, develops, manufactures, and markets novel products and has a broad portfolio that addresses challenging medical conditions in markets with significant unmet need. Penumbra sells its products to hospitals and healthcare providers primarily through its direct sales organization in the United States, most of Europe, Canada, and Australia, and through distributors in select international markets. The Penumbra logo is a trademark of Penumbra, Inc. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, age, disability, military or veteran status, or any other characteristic protected by federal, state, or local laws. If you reside in the State of California, please also refer to Penumbra's Privacy Notice for California Residents. For additional information on Penumbra's commitment to being an equal opportunity employer, please see Penumbra's AAP Policy Statement.
Senior Staff Embedded Systems Engineer
KOHLER Kohler, Wisconsin
Kohler is seeking a Sr Staff Embedded Systems Engineer to lead architecture, design, and integration of advanced embedded solutions for our Manufacturing Engineering & Design organization. In this senior technical role, you'll own complex firmware and hardware-software interfaces across kitchen, bath, and power products, ensuring performance, reliability, and scalability for global manufacturing. You will guide system architecture decisions, mentor engineers, drive best practices in embedded design, and collaborate closely with cross-functional teams to deliver sustainable, innovative products that reflect Kohler's craftsmanship, design excellence, and gracious living values in a hybrid work environment. Responsibilities Lead architecture, design, and implementation of embedded systems for Kohler manufactured products in collaboration with cross functional teams. Develop, review, and optimize firmware and low level software for reliability, performance, and manufacturability. Drive hardware-software integration, conduct design reviews, and guide debugging and validation activities. Mentor engineers, establish best practices, and champion design standards, documentation, and code quality. Partner with manufacturing, quality, and product management to ensure scalable, sustainable, and innovative solutions. Support compliance, test, and release processes to meet safety, regulatory, and customer requirements. Required Skills Embedded C/C++ programming RTOS development and integration Microcontroller/microprocessor architecture (ARM, etc.) Embedded Linux or similar platforms Digital and analog electronics fundamentals Communication protocols (SPI, I2 C, UART, CAN, Ethernet) Software architecture and design patterns for embedded systems Hardware-software integration and debugging with lab tools Version control (Git) and CI/CD for embedded software Requirements management and documentation Design for reliability, safety, and manufacturability
09/28/2026
Full time
Kohler is seeking a Sr Staff Embedded Systems Engineer to lead architecture, design, and integration of advanced embedded solutions for our Manufacturing Engineering & Design organization. In this senior technical role, you'll own complex firmware and hardware-software interfaces across kitchen, bath, and power products, ensuring performance, reliability, and scalability for global manufacturing. You will guide system architecture decisions, mentor engineers, drive best practices in embedded design, and collaborate closely with cross-functional teams to deliver sustainable, innovative products that reflect Kohler's craftsmanship, design excellence, and gracious living values in a hybrid work environment. Responsibilities Lead architecture, design, and implementation of embedded systems for Kohler manufactured products in collaboration with cross functional teams. Develop, review, and optimize firmware and low level software for reliability, performance, and manufacturability. Drive hardware-software integration, conduct design reviews, and guide debugging and validation activities. Mentor engineers, establish best practices, and champion design standards, documentation, and code quality. Partner with manufacturing, quality, and product management to ensure scalable, sustainable, and innovative solutions. Support compliance, test, and release processes to meet safety, regulatory, and customer requirements. Required Skills Embedded C/C++ programming RTOS development and integration Microcontroller/microprocessor architecture (ARM, etc.) Embedded Linux or similar platforms Digital and analog electronics fundamentals Communication protocols (SPI, I2 C, UART, CAN, Ethernet) Software architecture and design patterns for embedded systems Hardware-software integration and debugging with lab tools Version control (Git) and CI/CD for embedded software Requirements management and documentation Design for reliability, safety, and manufacturability
L3Harris Technologies
Systems Engineer (Sr. Member Engineering Staff)
L3Harris Technologies Camden, New Jersey
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Sr. Member Engineering Staff - Information Assurance Engineer Job Code: 40909 Job Location: Camden, New Jersey (On-Site) Schedule: 9/80 Regular ( 9/80 Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off) About L3Harris Technologies: L3Harris Technologies is an agile global aerospace and defense technology innovator, delivering end-to-end solutions that meet customers' mission-critical needs. The company provides advanced defense and commercial technologies across space, air, land, sea and cyber domains. L3Harris has approximately $18 billion in annual revenue and 47,000 employees, with customers in more than 100 countries. Are you ready to take your engineering career to the next level and be a part of something truly extraordinary? Join our trailblazing team in the Philadelphia metro area, where you'll dive into the thrilling world of high-assurance encryption products and programs that are pivotal to national defense. Our rapidly expanding business is not just growing-it's exploding with opportunities for innovation and impact in network and tactical encryption products and systems. Imagine working on the front lines of technology, developing state-of-the-art solutions that safeguard our nation's security. You'll collaborate with some of the brightest minds in the industry, in an environment that champions creativity and excellence. If you're passionate about tackling complex challenges and eager to contribute to groundbreaking projects that make a real difference to our warfighters, citizens, and nation; this is your chance to shine. Apply now and embark on this exhilarating journey with us, shaping the future of defense technology! Job Description: L3Harris Technologies - Integrated Systems & Encryption is a recognized global leader in the design, development, and production of secure communication systems and products supporting mission-critical space, ground, air, and naval operations. Our teams have the opportunity to make a significant impact on the business and the world around us while thriving in an environment that fosters growth and career development. We are committed to delivering best-in-class solutions to our customers with the highest levels of integrity, excellence, and uncompromised quality. The Information Assurance Systems Security Engineer is first and foremost a Systems Engineer who is also a subject matter expert in the development of systems and equipment that protect classified National Security information. The ideal candidate possesses Systems Engineering experience combined with Information Assurance, Security, and Cryptography expertise, with demonstrated success contributing to NSA-approved products considered highly desirable. Essential Functions: Applies security and cryptography expertise throughout the Systems Engineering lifecycle to develop and successfully certify National Security systems on time, within budget, and with low residual risk. Supports the design, development, and test of high-assurance security solutions for Defense and Intelligence community customers. Develops Concepts of Operations (CONOPS), decomposing and synthesizing security requirements, verifying security features, supporting security architecture development and analysis, and assisting with design and security test planning and execution. Supports NSA certification activities, secure networking integration, and embedded platform security for Type-1 cryptographic communication systems. Serves as a Subject Matter Expert (SME) and Systems Lead for Information Assurance, Security, and Cryptography. Travels up to 10%. Ability to obtain and maintain US Security Clearances. Qualifications Bachelor's degree in an engineering discipline; Master's degree highly desirable. Active DoD security clearance required (SECRET minimum). 10+ years of Systems Engineering experience supporting Information Assurance systems or related products. Complete understanding of the Systems Engineering lifecycle from concept through test, including architecture development, functional analysis, requirements allocation & traceability, trade studies, system synthesis, and integration. Experience planning, developing, and executing verification activities for security features and system-level functionality. Hands-on system integration and test (I&T) experience for complex embedded or networked systems. Experience authoring and reviewing artifacts for formal design reviews. Model-Based Systems Engineering (MBSE) experience. Proven track record in the architecture, design, analysis, integration, and test of NSA Type-1 certified or NSA-approved systems or equipment. Experience with security verification test planning and execution. Familiarity with the NSA Type-1 certification lifecycle, including interactions with NSA technical evaluators. Experience supporting NSA security Certification & Verification activities, including evidence production, test event support, and closure of certification findings. Familiarity with NSA certification artifacts and deliverables (multiple programs highly desirable). Exceptional security architecture development skills, including ability to make and defend complex security trade-offs in high-assurance systems. Working knowledge of Type-1, Suite A, Suite B, and Commercial cryptographic algorithms (symmetric and asymmetric). Knowledge of Public Key Infrastructure (PKI), TLS, and certificate/key management. Understanding of key management systems including EKMS and KMI as applied to End Cryptographic Units (ECUs). Experience with secure networking protocols, red/black interface design, and embedded Linux development environments for cryptographic devices. Excellent verbal and written communication skills with the ability to coordinate efforts across teams, influence decisions, resolve issues, and effectively communicate change. Preferred Additional Skills Experience with cybersecurity compliance and the Risk Management Framework (RMF). Cybersecurity certifications (e.g., CISSP). Advanced MBSE experience is strongly desirable. Active TS/SCI clearance. In compliance with pay transparency requirements, the salary range for this role is $118,306 - $224,575 This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
09/28/2026
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Sr. Member Engineering Staff - Information Assurance Engineer Job Code: 40909 Job Location: Camden, New Jersey (On-Site) Schedule: 9/80 Regular ( 9/80 Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off) About L3Harris Technologies: L3Harris Technologies is an agile global aerospace and defense technology innovator, delivering end-to-end solutions that meet customers' mission-critical needs. The company provides advanced defense and commercial technologies across space, air, land, sea and cyber domains. L3Harris has approximately $18 billion in annual revenue and 47,000 employees, with customers in more than 100 countries. Are you ready to take your engineering career to the next level and be a part of something truly extraordinary? Join our trailblazing team in the Philadelphia metro area, where you'll dive into the thrilling world of high-assurance encryption products and programs that are pivotal to national defense. Our rapidly expanding business is not just growing-it's exploding with opportunities for innovation and impact in network and tactical encryption products and systems. Imagine working on the front lines of technology, developing state-of-the-art solutions that safeguard our nation's security. You'll collaborate with some of the brightest minds in the industry, in an environment that champions creativity and excellence. If you're passionate about tackling complex challenges and eager to contribute to groundbreaking projects that make a real difference to our warfighters, citizens, and nation; this is your chance to shine. Apply now and embark on this exhilarating journey with us, shaping the future of defense technology! Job Description: L3Harris Technologies - Integrated Systems & Encryption is a recognized global leader in the design, development, and production of secure communication systems and products supporting mission-critical space, ground, air, and naval operations. Our teams have the opportunity to make a significant impact on the business and the world around us while thriving in an environment that fosters growth and career development. We are committed to delivering best-in-class solutions to our customers with the highest levels of integrity, excellence, and uncompromised quality. The Information Assurance Systems Security Engineer is first and foremost a Systems Engineer who is also a subject matter expert in the development of systems and equipment that protect classified National Security information. The ideal candidate possesses Systems Engineering experience combined with Information Assurance, Security, and Cryptography expertise, with demonstrated success contributing to NSA-approved products considered highly desirable. Essential Functions: Applies security and cryptography expertise throughout the Systems Engineering lifecycle to develop and successfully certify National Security systems on time, within budget, and with low residual risk. Supports the design, development, and test of high-assurance security solutions for Defense and Intelligence community customers. Develops Concepts of Operations (CONOPS), decomposing and synthesizing security requirements, verifying security features, supporting security architecture development and analysis, and assisting with design and security test planning and execution. Supports NSA certification activities, secure networking integration, and embedded platform security for Type-1 cryptographic communication systems. Serves as a Subject Matter Expert (SME) and Systems Lead for Information Assurance, Security, and Cryptography. Travels up to 10%. Ability to obtain and maintain US Security Clearances. Qualifications Bachelor's degree in an engineering discipline; Master's degree highly desirable. Active DoD security clearance required (SECRET minimum). 10+ years of Systems Engineering experience supporting Information Assurance systems or related products. Complete understanding of the Systems Engineering lifecycle from concept through test, including architecture development, functional analysis, requirements allocation & traceability, trade studies, system synthesis, and integration. Experience planning, developing, and executing verification activities for security features and system-level functionality. Hands-on system integration and test (I&T) experience for complex embedded or networked systems. Experience authoring and reviewing artifacts for formal design reviews. Model-Based Systems Engineering (MBSE) experience. Proven track record in the architecture, design, analysis, integration, and test of NSA Type-1 certified or NSA-approved systems or equipment. Experience with security verification test planning and execution. Familiarity with the NSA Type-1 certification lifecycle, including interactions with NSA technical evaluators. Experience supporting NSA security Certification & Verification activities, including evidence production, test event support, and closure of certification findings. Familiarity with NSA certification artifacts and deliverables (multiple programs highly desirable). Exceptional security architecture development skills, including ability to make and defend complex security trade-offs in high-assurance systems. Working knowledge of Type-1, Suite A, Suite B, and Commercial cryptographic algorithms (symmetric and asymmetric). Knowledge of Public Key Infrastructure (PKI), TLS, and certificate/key management. Understanding of key management systems including EKMS and KMI as applied to End Cryptographic Units (ECUs). Experience with secure networking protocols, red/black interface design, and embedded Linux development environments for cryptographic devices. Excellent verbal and written communication skills with the ability to coordinate efforts across teams, influence decisions, resolve issues, and effectively communicate change. Preferred Additional Skills Experience with cybersecurity compliance and the Risk Management Framework (RMF). Cybersecurity certifications (e.g., CISSP). Advanced MBSE experience is strongly desirable. Active TS/SCI clearance. In compliance with pay transparency requirements, the salary range for this role is $118,306 - $224,575 This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
L3Harris Technologies
Maritime Division Chief Engineer
L3Harris Technologies Herndon, Virginia
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Director, Engineering Management- Maritime Division Chief Engineer Job Code: 42193 Job Location: Camden, NJ, Herndon, VA, or Millersville, MD Job Schedule: 9/80 Regular Job Description: The Director, Chief Engineer is responsible for delivering the technical scope, cost and schedule performance for all engineering content within the division. S/he provides strategic technical leadership and implementation of objectives and initiatives based on long-term product and profitability goals. S/he is responsible for supplying and maintaining adequate resources working with engineering functional leads in the pursuit of the division's strategic goals and operational plans. The Director, Chief Engineer is also responsible for the overall organizational health of the engineering workforce and for the recruitment, retention, and development of top talent. The Director of Engineering's primary responsibility is to lead a cross-functional engineering team to cultivate innovative product solutions, advance critical technology enablers, and execute product development projects that serve the Government/DoD and International markets. The Director of Engineering is responsible for ensuring technical scope, cost and schedule execution of the Engineering content of programs. The position requires flexibility to manage multiple customer requirements (cost, schedule, technical capabilities), while using analytical and strategic skills to guide the engineering team to successful program deliveries of customer needs. A key part of this role is to work collaboratively across organizational boundaries and ensure programs are smoothly transitioned to production and deployment phases. The Chief Engineer must be able to interact with Sector peers, Segment and Corporate technical leaders and diverse customers. The successful candidate is an experienced technical and business professional who is able to focus simultaneously on near- and long-term objectives. Essential Functions: Build, lead and manage the cross-functional engineering organization dedicated to the ongoing advancement of the Engineering team and division product roadmaps. Technical scope, cost and schedule accountability for technical project execution. Management of engineering staffing demand, allocation of resources and posting of requisitions to successfully support the division. Work with the Engineering Leadership Team to conduct ongoing skills assessment and proactively address potential skills gaps. Lead and mentor the engineering leadership team to continue to develop strong technical leaders. Planning and execution of product development, from product definition through production transition, across all markets to meet division goals and objectives. Manage Internal Research and Development (IRAD) portfolio and develop and maintain product technology roadmap Manage Engineering organization budgets. Champion the New Product Introduction (NPI) process. Decision maker for high level / high impact engineering technical issues. Working in conjunction with the Sector leadership, co-develop the organization's growth and product strategy. Develop and support a culture of continuous improvement and best practices within the Engineering organization. Maintain a climate of fostering a high level of employee motivation, performance, and commitment. Oversee staffing plans and review work plans and schedules for each phase of a project in accordance with time limitations and funding. Represents engineering organization with major customers and stakeholders Ability to travel up to 25% (or as required by business needs). Qualifications: Bachelor's degree in Engineering 15 years of applicable experience in a product development role; DoD experience a must, with 10 years experience leading cross functional teams. Experience leading large engineering organizations that are geographically diverse Active Secret level Security Clearance; a Top Secret/SCI is preferred; and maintain this clearance which requires US Citizenship Preferred Qualifications: Prior leadership across two or more engineering disciplines (e.g., systems, software, electrical, mechanical, test, specialty engineering). Experience working in mission-critical or safety-critical development environments. Experience with EVMS/CAM responsibilities and proposal development (including BOE generation). Experience leading organizational change and scaling teams through growth or realignment. Master's degree in Engineering or a Master's of Business Administration is highly desired In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C. area, Denver, or NYC areas is $177,500 MIN - $291,000 MAX . The salary range for this role in Colorado state, Hawaii, Illinois, Maryland, Minnesota, New York state, Cleveland Ohio, Vermont and Virginia is $177,500 MIN - $291,000 MAX . This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
09/28/2026
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Director, Engineering Management- Maritime Division Chief Engineer Job Code: 42193 Job Location: Camden, NJ, Herndon, VA, or Millersville, MD Job Schedule: 9/80 Regular Job Description: The Director, Chief Engineer is responsible for delivering the technical scope, cost and schedule performance for all engineering content within the division. S/he provides strategic technical leadership and implementation of objectives and initiatives based on long-term product and profitability goals. S/he is responsible for supplying and maintaining adequate resources working with engineering functional leads in the pursuit of the division's strategic goals and operational plans. The Director, Chief Engineer is also responsible for the overall organizational health of the engineering workforce and for the recruitment, retention, and development of top talent. The Director of Engineering's primary responsibility is to lead a cross-functional engineering team to cultivate innovative product solutions, advance critical technology enablers, and execute product development projects that serve the Government/DoD and International markets. The Director of Engineering is responsible for ensuring technical scope, cost and schedule execution of the Engineering content of programs. The position requires flexibility to manage multiple customer requirements (cost, schedule, technical capabilities), while using analytical and strategic skills to guide the engineering team to successful program deliveries of customer needs. A key part of this role is to work collaboratively across organizational boundaries and ensure programs are smoothly transitioned to production and deployment phases. The Chief Engineer must be able to interact with Sector peers, Segment and Corporate technical leaders and diverse customers. The successful candidate is an experienced technical and business professional who is able to focus simultaneously on near- and long-term objectives. Essential Functions: Build, lead and manage the cross-functional engineering organization dedicated to the ongoing advancement of the Engineering team and division product roadmaps. Technical scope, cost and schedule accountability for technical project execution. Management of engineering staffing demand, allocation of resources and posting of requisitions to successfully support the division. Work with the Engineering Leadership Team to conduct ongoing skills assessment and proactively address potential skills gaps. Lead and mentor the engineering leadership team to continue to develop strong technical leaders. Planning and execution of product development, from product definition through production transition, across all markets to meet division goals and objectives. Manage Internal Research and Development (IRAD) portfolio and develop and maintain product technology roadmap Manage Engineering organization budgets. Champion the New Product Introduction (NPI) process. Decision maker for high level / high impact engineering technical issues. Working in conjunction with the Sector leadership, co-develop the organization's growth and product strategy. Develop and support a culture of continuous improvement and best practices within the Engineering organization. Maintain a climate of fostering a high level of employee motivation, performance, and commitment. Oversee staffing plans and review work plans and schedules for each phase of a project in accordance with time limitations and funding. Represents engineering organization with major customers and stakeholders Ability to travel up to 25% (or as required by business needs). Qualifications: Bachelor's degree in Engineering 15 years of applicable experience in a product development role; DoD experience a must, with 10 years experience leading cross functional teams. Experience leading large engineering organizations that are geographically diverse Active Secret level Security Clearance; a Top Secret/SCI is preferred; and maintain this clearance which requires US Citizenship Preferred Qualifications: Prior leadership across two or more engineering disciplines (e.g., systems, software, electrical, mechanical, test, specialty engineering). Experience working in mission-critical or safety-critical development environments. Experience with EVMS/CAM responsibilities and proposal development (including BOE generation). Experience leading organizational change and scaling teams through growth or realignment. Master's degree in Engineering or a Master's of Business Administration is highly desired In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C. area, Denver, or NYC areas is $177,500 MIN - $291,000 MAX . The salary range for this role in Colorado state, Hawaii, Illinois, Maryland, Minnesota, New York state, Cleveland Ohio, Vermont and Virginia is $177,500 MIN - $291,000 MAX . This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
L3Harris Technologies
Lead, IPTL Software Engineer (Optical Space Systems) : Sign-on bonus ($30K max)
L3Harris Technologies Wilmington, Massachusetts
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Lead, IPTL Software Engineer (Optical Space Systems) : Sign-on bonus ($30K max) Job Code: 42614 Job Location: Wilmington, MA (on-site) Job Schedule: 9/80 (Every other Friday off!) Relocation: Relocation assistance is available to qualified applicants Sign-On Bonus: A sign-on bonus of up to $30K may be included as part of an offer package for this level Job Description: This role leads a Software Integrated Product Team (IPT) within the Space & Mission Systems Segment of L3Harris for our Wilmington MA location. The team develops, integrates, and tests flight software and Electrical Ground Support Equipment (EGSE) software for space-based EO/IR and optical payloads. The ideal candidate has a strong background in space domain, including embedded and real-time software, RTOS environments such as VxWorks, and development of EGSE and test systems for optical payload integration and test. This role requires technical leadership across the full software lifecycle, with responsibility for technical execution, cost, schedule, integration, and risk management. Essential Functions: Lead the Software IPT responsible for flight software and EGSE software development for space payload programs. Provide technical, cost, and schedule leadership across all phases of software development, integration, test, and delivery. Coordinate with Program Management, Systems Engineering, Electronics, FPGA, Integration & Test, and other cross-functional teams. Lead software planning, architecture, execution, and staffing for embedded, real-time, and test software efforts. Oversee development of software for payload command and telemetry, mode control, hardware interfaces, and EGSE/test automation. Ensure program deliverables are met through technical oversight, schedule management, cost tracking, and EVMS reporting where applicable. Lead risk management and RCCA activities for software and integration issues. Support software verification across SIL/HIL, bench, flatsat, and payload-level integration environments. Lead or participate in technical reviews, Independent Review Teams (IRT), and Agile/Scrum activities as needed. Ability to obtain a U.S. Top Secret Security Clearance Qualifications: Bachelor's degree in Computer Engineering, Computer Science, or related field with 9+ years of relevant experience; OR Graduate Degree with 7+ years of relevant experience; OR 13+ years of relevant experience in lieu of a degree. 7+ years experience in embedded software development, system design, debugging, and integration on aerospace applications Professional experience in full System lifecycle including requirements flow down and allocation, design, development, test, and sell-off. Professional experience with Agile methods, supplier management, and cross-functional execution. Experience in an IPT or lead role overseeing team technical, cost, and schedule responsibilities Preferred Additional Skills: Active U.S. Security Clearance is preferred but not required. PMP or Agile/Scrum certifications are a plus. Experience with RTOS (e.g., VxWorks, FreeRTOS, RTLinux, QNX), simulators (TSIM, VxSIM, SIMIC, MATLAB Simulink), and programming languages (C/C++, Python, scripting). Experience with embedded command and control of mechanisms (e.g., shutters, motors, gimbals), embedded controllers (e.g., PIC, STM, TMS), serial communications (e.g., CAN, TCP/IP, RS422), and distributed messaging (TCP/UDP). Knowledge of MBSE tools (e.g., Cameo) and wideband/narrowband telemetry and messaging. Experience in estimating large software programs for new business opportunities. Experience in developing software for microcontrollers with interfaces (e.g., I2C, SPI, UART, CAN). Develop, customize, and maintain Board Support Packages (BSP) for various hardware platforms. Integrate BSP components, including bootloaders, device drivers, and operating systems. In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C, Denver, or NYC areas is $135,000.00 - $250,500.00. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
09/28/2026
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Lead, IPTL Software Engineer (Optical Space Systems) : Sign-on bonus ($30K max) Job Code: 42614 Job Location: Wilmington, MA (on-site) Job Schedule: 9/80 (Every other Friday off!) Relocation: Relocation assistance is available to qualified applicants Sign-On Bonus: A sign-on bonus of up to $30K may be included as part of an offer package for this level Job Description: This role leads a Software Integrated Product Team (IPT) within the Space & Mission Systems Segment of L3Harris for our Wilmington MA location. The team develops, integrates, and tests flight software and Electrical Ground Support Equipment (EGSE) software for space-based EO/IR and optical payloads. The ideal candidate has a strong background in space domain, including embedded and real-time software, RTOS environments such as VxWorks, and development of EGSE and test systems for optical payload integration and test. This role requires technical leadership across the full software lifecycle, with responsibility for technical execution, cost, schedule, integration, and risk management. Essential Functions: Lead the Software IPT responsible for flight software and EGSE software development for space payload programs. Provide technical, cost, and schedule leadership across all phases of software development, integration, test, and delivery. Coordinate with Program Management, Systems Engineering, Electronics, FPGA, Integration & Test, and other cross-functional teams. Lead software planning, architecture, execution, and staffing for embedded, real-time, and test software efforts. Oversee development of software for payload command and telemetry, mode control, hardware interfaces, and EGSE/test automation. Ensure program deliverables are met through technical oversight, schedule management, cost tracking, and EVMS reporting where applicable. Lead risk management and RCCA activities for software and integration issues. Support software verification across SIL/HIL, bench, flatsat, and payload-level integration environments. Lead or participate in technical reviews, Independent Review Teams (IRT), and Agile/Scrum activities as needed. Ability to obtain a U.S. Top Secret Security Clearance Qualifications: Bachelor's degree in Computer Engineering, Computer Science, or related field with 9+ years of relevant experience; OR Graduate Degree with 7+ years of relevant experience; OR 13+ years of relevant experience in lieu of a degree. 7+ years experience in embedded software development, system design, debugging, and integration on aerospace applications Professional experience in full System lifecycle including requirements flow down and allocation, design, development, test, and sell-off. Professional experience with Agile methods, supplier management, and cross-functional execution. Experience in an IPT or lead role overseeing team technical, cost, and schedule responsibilities Preferred Additional Skills: Active U.S. Security Clearance is preferred but not required. PMP or Agile/Scrum certifications are a plus. Experience with RTOS (e.g., VxWorks, FreeRTOS, RTLinux, QNX), simulators (TSIM, VxSIM, SIMIC, MATLAB Simulink), and programming languages (C/C++, Python, scripting). Experience with embedded command and control of mechanisms (e.g., shutters, motors, gimbals), embedded controllers (e.g., PIC, STM, TMS), serial communications (e.g., CAN, TCP/IP, RS422), and distributed messaging (TCP/UDP). Knowledge of MBSE tools (e.g., Cameo) and wideband/narrowband telemetry and messaging. Experience in estimating large software programs for new business opportunities. Experience in developing software for microcontrollers with interfaces (e.g., I2C, SPI, UART, CAN). Develop, customize, and maintain Board Support Packages (BSP) for various hardware platforms. Integrate BSP components, including bootloaders, device drivers, and operating systems. In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C, Denver, or NYC areas is $135,000.00 - $250,500.00. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
L3Harris Technologies
Maritime Division Chief Engineer
L3Harris Technologies Camden, New Jersey
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Director, Engineering Management- Maritime Division Chief Engineer Job Code: 42193 Job Location: Camden, NJ, Herndon, VA, or Millersville, MD Job Schedule: 9/80 Regular Job Description: The Director, Chief Engineer is responsible for delivering the technical scope, cost and schedule performance for all engineering content within the division. S/he provides strategic technical leadership and implementation of objectives and initiatives based on long-term product and profitability goals. S/he is responsible for supplying and maintaining adequate resources working with engineering functional leads in the pursuit of the division's strategic goals and operational plans. The Director, Chief Engineer is also responsible for the overall organizational health of the engineering workforce and for the recruitment, retention, and development of top talent. The Director of Engineering's primary responsibility is to lead a cross-functional engineering team to cultivate innovative product solutions, advance critical technology enablers, and execute product development projects that serve the Government/DoD and International markets. The Director of Engineering is responsible for ensuring technical scope, cost and schedule execution of the Engineering content of programs. The position requires flexibility to manage multiple customer requirements (cost, schedule, technical capabilities), while using analytical and strategic skills to guide the engineering team to successful program deliveries of customer needs. A key part of this role is to work collaboratively across organizational boundaries and ensure programs are smoothly transitioned to production and deployment phases. The Chief Engineer must be able to interact with Sector peers, Segment and Corporate technical leaders and diverse customers. The successful candidate is an experienced technical and business professional who is able to focus simultaneously on near- and long-term objectives. Essential Functions: Build, lead and manage the cross-functional engineering organization dedicated to the ongoing advancement of the Engineering team and division product roadmaps. Technical scope, cost and schedule accountability for technical project execution. Management of engineering staffing demand, allocation of resources and posting of requisitions to successfully support the division. Work with the Engineering Leadership Team to conduct ongoing skills assessment and proactively address potential skills gaps. Lead and mentor the engineering leadership team to continue to develop strong technical leaders. Planning and execution of product development, from product definition through production transition, across all markets to meet division goals and objectives. Manage Internal Research and Development (IRAD) portfolio and develop and maintain product technology roadmap Manage Engineering organization budgets. Champion the New Product Introduction (NPI) process. Decision maker for high level / high impact engineering technical issues. Working in conjunction with the Sector leadership, co-develop the organization's growth and product strategy. Develop and support a culture of continuous improvement and best practices within the Engineering organization. Maintain a climate of fostering a high level of employee motivation, performance, and commitment. Oversee staffing plans and review work plans and schedules for each phase of a project in accordance with time limitations and funding. Represents engineering organization with major customers and stakeholders Ability to travel up to 25% (or as required by business needs). Qualifications: Bachelor's degree in Engineering 15 years of applicable experience in a product development role; DoD experience a must, with 10 years experience leading cross functional teams. Experience leading large engineering organizations that are geographically diverse Active Secret level Security Clearance; a Top Secret/SCI is preferred; and maintain this clearance which requires US Citizenship Preferred Qualifications: Prior leadership across two or more engineering disciplines (e.g., systems, software, electrical, mechanical, test, specialty engineering). Experience working in mission-critical or safety-critical development environments. Experience with EVMS/CAM responsibilities and proposal development (including BOE generation). Experience leading organizational change and scaling teams through growth or realignment. Master's degree in Engineering or a Master's of Business Administration is highly desired In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C. area, Denver, or NYC areas is $177,500 MIN - $291,000 MAX . The salary range for this role in Colorado state, Hawaii, Illinois, Maryland, Minnesota, New York state, Cleveland Ohio, Vermont and Virginia is $177,500 MIN - $291,000 MAX . This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
09/28/2026
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Director, Engineering Management- Maritime Division Chief Engineer Job Code: 42193 Job Location: Camden, NJ, Herndon, VA, or Millersville, MD Job Schedule: 9/80 Regular Job Description: The Director, Chief Engineer is responsible for delivering the technical scope, cost and schedule performance for all engineering content within the division. S/he provides strategic technical leadership and implementation of objectives and initiatives based on long-term product and profitability goals. S/he is responsible for supplying and maintaining adequate resources working with engineering functional leads in the pursuit of the division's strategic goals and operational plans. The Director, Chief Engineer is also responsible for the overall organizational health of the engineering workforce and for the recruitment, retention, and development of top talent. The Director of Engineering's primary responsibility is to lead a cross-functional engineering team to cultivate innovative product solutions, advance critical technology enablers, and execute product development projects that serve the Government/DoD and International markets. The Director of Engineering is responsible for ensuring technical scope, cost and schedule execution of the Engineering content of programs. The position requires flexibility to manage multiple customer requirements (cost, schedule, technical capabilities), while using analytical and strategic skills to guide the engineering team to successful program deliveries of customer needs. A key part of this role is to work collaboratively across organizational boundaries and ensure programs are smoothly transitioned to production and deployment phases. The Chief Engineer must be able to interact with Sector peers, Segment and Corporate technical leaders and diverse customers. The successful candidate is an experienced technical and business professional who is able to focus simultaneously on near- and long-term objectives. Essential Functions: Build, lead and manage the cross-functional engineering organization dedicated to the ongoing advancement of the Engineering team and division product roadmaps. Technical scope, cost and schedule accountability for technical project execution. Management of engineering staffing demand, allocation of resources and posting of requisitions to successfully support the division. Work with the Engineering Leadership Team to conduct ongoing skills assessment and proactively address potential skills gaps. Lead and mentor the engineering leadership team to continue to develop strong technical leaders. Planning and execution of product development, from product definition through production transition, across all markets to meet division goals and objectives. Manage Internal Research and Development (IRAD) portfolio and develop and maintain product technology roadmap Manage Engineering organization budgets. Champion the New Product Introduction (NPI) process. Decision maker for high level / high impact engineering technical issues. Working in conjunction with the Sector leadership, co-develop the organization's growth and product strategy. Develop and support a culture of continuous improvement and best practices within the Engineering organization. Maintain a climate of fostering a high level of employee motivation, performance, and commitment. Oversee staffing plans and review work plans and schedules for each phase of a project in accordance with time limitations and funding. Represents engineering organization with major customers and stakeholders Ability to travel up to 25% (or as required by business needs). Qualifications: Bachelor's degree in Engineering 15 years of applicable experience in a product development role; DoD experience a must, with 10 years experience leading cross functional teams. Experience leading large engineering organizations that are geographically diverse Active Secret level Security Clearance; a Top Secret/SCI is preferred; and maintain this clearance which requires US Citizenship Preferred Qualifications: Prior leadership across two or more engineering disciplines (e.g., systems, software, electrical, mechanical, test, specialty engineering). Experience working in mission-critical or safety-critical development environments. Experience with EVMS/CAM responsibilities and proposal development (including BOE generation). Experience leading organizational change and scaling teams through growth or realignment. Master's degree in Engineering or a Master's of Business Administration is highly desired In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C. area, Denver, or NYC areas is $177,500 MIN - $291,000 MAX . The salary range for this role in Colorado state, Hawaii, Illinois, Maryland, Minnesota, New York state, Cleveland Ohio, Vermont and Virginia is $177,500 MIN - $291,000 MAX . This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
L3Harris Technologies
Systems Engineer
L3Harris Technologies Camden, New Jersey
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Systems Engineer (MBSE) Job Code: 42031 Job Location: Camden, NJ (On Site) Schedule: 9/80 Regular ( 9/80 Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off ) About L3Harris Technologies: L3Harris Technologies is an agile global aerospace and defense technology innovator, delivering end-to-end solutions that meet customers' mission-critical needs. The company provides advanced defense and commercial technologies across space, air, land, sea and cyber domains. L3Harris has approximately $18 billion in annual revenue and 47,000 employees, with customers in more than 100 countries. Job Description: This position is for a Senior Member of Engineering Staff (SMES) for the Command, Control, and Communications (C3) programs within the C3S Engineering organization and will be based in the historic L3Harris Camden Waterfront Campus in New Jersey. The C3 Engineer is responsible for developing integrated communication systems for both internal and external comms. The role will involve analyzing system requirements, performing signal processing, and data analysis. Collaborates closely with cross-functional teams, including hardware and software engineers, to ensure seamless integration, testing and validation of the overall system architecture. Essential Functions: Full Systems Engineering Life Cycle experience from baseline concept definition, System Design Review (SDR), through the Preliminary Design Review (PDR), and Critical Design Review (CDR) as well as System Integration and Engineering Test (SEIT). Applies Model-Based Systems Engineering principles, methods, and tools to support system architecture development, requirements management, design analysis, integration, and verification throughout the system lifecycle. Understanding of communications and network protocols, appropriate for mission-critical, near-real-time, military applications. Proficient with software tools used for systems engineering (i.e. requirements management, systems architecture and modeling, engineering change management, product life-cycle management, etc.). System integration and test engineering expertise, including technical leadership to perform verification activities including functional and environmental qualification. Excellent verbal and written communications skills; works with others to coordinate efforts, resolve cross-team issues and effectively communicate changes. Ability to ability to obtain and maintain a US Government Security clearance. Qualifications: A bachelor's degree in an engineering discipline and at least 6 years of related experience. Experience applying Model-Based Systems Engineering principles, methods, and tools to support system architecture development, requirements management, design analysis, integration, and verification throughout the system lifecycle. Relevant experience with design, development and delivery of next-generation products for our maritime customers. Preferred Additional Skills: Master's degree desired. Experience with design, operation, and maintenance of military communications. Active Security Clearance preferred. Excellent verbal and written communications skills; works with others to coordinate efforts, resolve cross-team issues and effectively communicate changes. Demonstrated ability to operate effectively in ambiguous, fast-paced environments, exercising strong initiative, decision-making, and problem-solving skills. In compliance with pay transparency requirements, the salary range for this role is $90,500 - $140,500. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
09/28/2026
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Systems Engineer (MBSE) Job Code: 42031 Job Location: Camden, NJ (On Site) Schedule: 9/80 Regular ( 9/80 Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off ) About L3Harris Technologies: L3Harris Technologies is an agile global aerospace and defense technology innovator, delivering end-to-end solutions that meet customers' mission-critical needs. The company provides advanced defense and commercial technologies across space, air, land, sea and cyber domains. L3Harris has approximately $18 billion in annual revenue and 47,000 employees, with customers in more than 100 countries. Job Description: This position is for a Senior Member of Engineering Staff (SMES) for the Command, Control, and Communications (C3) programs within the C3S Engineering organization and will be based in the historic L3Harris Camden Waterfront Campus in New Jersey. The C3 Engineer is responsible for developing integrated communication systems for both internal and external comms. The role will involve analyzing system requirements, performing signal processing, and data analysis. Collaborates closely with cross-functional teams, including hardware and software engineers, to ensure seamless integration, testing and validation of the overall system architecture. Essential Functions: Full Systems Engineering Life Cycle experience from baseline concept definition, System Design Review (SDR), through the Preliminary Design Review (PDR), and Critical Design Review (CDR) as well as System Integration and Engineering Test (SEIT). Applies Model-Based Systems Engineering principles, methods, and tools to support system architecture development, requirements management, design analysis, integration, and verification throughout the system lifecycle. Understanding of communications and network protocols, appropriate for mission-critical, near-real-time, military applications. Proficient with software tools used for systems engineering (i.e. requirements management, systems architecture and modeling, engineering change management, product life-cycle management, etc.). System integration and test engineering expertise, including technical leadership to perform verification activities including functional and environmental qualification. Excellent verbal and written communications skills; works with others to coordinate efforts, resolve cross-team issues and effectively communicate changes. Ability to ability to obtain and maintain a US Government Security clearance. Qualifications: A bachelor's degree in an engineering discipline and at least 6 years of related experience. Experience applying Model-Based Systems Engineering principles, methods, and tools to support system architecture development, requirements management, design analysis, integration, and verification throughout the system lifecycle. Relevant experience with design, development and delivery of next-generation products for our maritime customers. Preferred Additional Skills: Master's degree desired. Experience with design, operation, and maintenance of military communications. Active Security Clearance preferred. Excellent verbal and written communications skills; works with others to coordinate efforts, resolve cross-team issues and effectively communicate changes. Demonstrated ability to operate effectively in ambiguous, fast-paced environments, exercising strong initiative, decision-making, and problem-solving skills. In compliance with pay transparency requirements, the salary range for this role is $90,500 - $140,500. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
L3Harris Technologies
Maritime Division Chief Engineer
L3Harris Technologies Millersville, Maryland
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Director, Engineering Management- Maritime Division Chief Engineer Job Code: 42193 Job Location: Camden, NJ, Herndon, VA, or Millersville, MD Job Schedule: 9/80 Regular Job Description: The Director, Chief Engineer is responsible for delivering the technical scope, cost and schedule performance for all engineering content within the division. S/he provides strategic technical leadership and implementation of objectives and initiatives based on long-term product and profitability goals. S/he is responsible for supplying and maintaining adequate resources working with engineering functional leads in the pursuit of the division's strategic goals and operational plans. The Director, Chief Engineer is also responsible for the overall organizational health of the engineering workforce and for the recruitment, retention, and development of top talent. The Director of Engineering's primary responsibility is to lead a cross-functional engineering team to cultivate innovative product solutions, advance critical technology enablers, and execute product development projects that serve the Government/DoD and International markets. The Director of Engineering is responsible for ensuring technical scope, cost and schedule execution of the Engineering content of programs. The position requires flexibility to manage multiple customer requirements (cost, schedule, technical capabilities), while using analytical and strategic skills to guide the engineering team to successful program deliveries of customer needs. A key part of this role is to work collaboratively across organizational boundaries and ensure programs are smoothly transitioned to production and deployment phases. The Chief Engineer must be able to interact with Sector peers, Segment and Corporate technical leaders and diverse customers. The successful candidate is an experienced technical and business professional who is able to focus simultaneously on near- and long-term objectives. Essential Functions: Build, lead and manage the cross-functional engineering organization dedicated to the ongoing advancement of the Engineering team and division product roadmaps. Technical scope, cost and schedule accountability for technical project execution. Management of engineering staffing demand, allocation of resources and posting of requisitions to successfully support the division. Work with the Engineering Leadership Team to conduct ongoing skills assessment and proactively address potential skills gaps. Lead and mentor the engineering leadership team to continue to develop strong technical leaders. Planning and execution of product development, from product definition through production transition, across all markets to meet division goals and objectives. Manage Internal Research and Development (IRAD) portfolio and develop and maintain product technology roadmap Manage Engineering organization budgets. Champion the New Product Introduction (NPI) process. Decision maker for high level / high impact engineering technical issues. Working in conjunction with the Sector leadership, co-develop the organization's growth and product strategy. Develop and support a culture of continuous improvement and best practices within the Engineering organization. Maintain a climate of fostering a high level of employee motivation, performance, and commitment. Oversee staffing plans and review work plans and schedules for each phase of a project in accordance with time limitations and funding. Represents engineering organization with major customers and stakeholders Ability to travel up to 25% (or as required by business needs). Qualifications: Bachelor's degree in Engineering 15 years of applicable experience in a product development role; DoD experience a must, with 10 years experience leading cross functional teams. Experience leading large engineering organizations that are geographically diverse Active Secret level Security Clearance; a Top Secret/SCI is preferred; and maintain this clearance which requires US Citizenship Preferred Qualifications: Prior leadership across two or more engineering disciplines (e.g., systems, software, electrical, mechanical, test, specialty engineering). Experience working in mission-critical or safety-critical development environments. Experience with EVMS/CAM responsibilities and proposal development (including BOE generation). Experience leading organizational change and scaling teams through growth or realignment. Master's degree in Engineering or a Master's of Business Administration is highly desired In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C. area, Denver, or NYC areas is $177,500 MIN - $291,000 MAX . The salary range for this role in Colorado state, Hawaii, Illinois, Maryland, Minnesota, New York state, Cleveland Ohio, Vermont and Virginia is $177,500 MIN - $291,000 MAX . This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
09/28/2026
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Director, Engineering Management- Maritime Division Chief Engineer Job Code: 42193 Job Location: Camden, NJ, Herndon, VA, or Millersville, MD Job Schedule: 9/80 Regular Job Description: The Director, Chief Engineer is responsible for delivering the technical scope, cost and schedule performance for all engineering content within the division. S/he provides strategic technical leadership and implementation of objectives and initiatives based on long-term product and profitability goals. S/he is responsible for supplying and maintaining adequate resources working with engineering functional leads in the pursuit of the division's strategic goals and operational plans. The Director, Chief Engineer is also responsible for the overall organizational health of the engineering workforce and for the recruitment, retention, and development of top talent. The Director of Engineering's primary responsibility is to lead a cross-functional engineering team to cultivate innovative product solutions, advance critical technology enablers, and execute product development projects that serve the Government/DoD and International markets. The Director of Engineering is responsible for ensuring technical scope, cost and schedule execution of the Engineering content of programs. The position requires flexibility to manage multiple customer requirements (cost, schedule, technical capabilities), while using analytical and strategic skills to guide the engineering team to successful program deliveries of customer needs. A key part of this role is to work collaboratively across organizational boundaries and ensure programs are smoothly transitioned to production and deployment phases. The Chief Engineer must be able to interact with Sector peers, Segment and Corporate technical leaders and diverse customers. The successful candidate is an experienced technical and business professional who is able to focus simultaneously on near- and long-term objectives. Essential Functions: Build, lead and manage the cross-functional engineering organization dedicated to the ongoing advancement of the Engineering team and division product roadmaps. Technical scope, cost and schedule accountability for technical project execution. Management of engineering staffing demand, allocation of resources and posting of requisitions to successfully support the division. Work with the Engineering Leadership Team to conduct ongoing skills assessment and proactively address potential skills gaps. Lead and mentor the engineering leadership team to continue to develop strong technical leaders. Planning and execution of product development, from product definition through production transition, across all markets to meet division goals and objectives. Manage Internal Research and Development (IRAD) portfolio and develop and maintain product technology roadmap Manage Engineering organization budgets. Champion the New Product Introduction (NPI) process. Decision maker for high level / high impact engineering technical issues. Working in conjunction with the Sector leadership, co-develop the organization's growth and product strategy. Develop and support a culture of continuous improvement and best practices within the Engineering organization. Maintain a climate of fostering a high level of employee motivation, performance, and commitment. Oversee staffing plans and review work plans and schedules for each phase of a project in accordance with time limitations and funding. Represents engineering organization with major customers and stakeholders Ability to travel up to 25% (or as required by business needs). Qualifications: Bachelor's degree in Engineering 15 years of applicable experience in a product development role; DoD experience a must, with 10 years experience leading cross functional teams. Experience leading large engineering organizations that are geographically diverse Active Secret level Security Clearance; a Top Secret/SCI is preferred; and maintain this clearance which requires US Citizenship Preferred Qualifications: Prior leadership across two or more engineering disciplines (e.g., systems, software, electrical, mechanical, test, specialty engineering). Experience working in mission-critical or safety-critical development environments. Experience with EVMS/CAM responsibilities and proposal development (including BOE generation). Experience leading organizational change and scaling teams through growth or realignment. Master's degree in Engineering or a Master's of Business Administration is highly desired In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C. area, Denver, or NYC areas is $177,500 MIN - $291,000 MAX . The salary range for this role in Colorado state, Hawaii, Illinois, Maryland, Minnesota, New York state, Cleveland Ohio, Vermont and Virginia is $177,500 MIN - $291,000 MAX . This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
L3Harris Technologies
Embedded Software Engineer
L3Harris Technologies Camden, New Jersey
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Member Engineering Staff - Embedded Software Engineer Job Code: 41906 Job Location: Camden, NJ (On-Site) Schedule: 9/80 Regular (Every Other Friday Off) Position is to be based in the historic L3Harris Camden Waterfront Campus! L3Harris is dedicated to recruiting and developing diverse, high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. About L3Harris Technologies: L3Harris Technologies is an agile global aerospace and defense technology innovator, delivering end-to-end solutions that meet customers' mission-critical needs. The company provides advanced defense and commercial technologies across space, air, land, sea and cyber domains. L3Harris has approximately $18 billion in annual revenue and 47,000 employees, with customers in more than 100 countries. Job Description: The L3Harris is seeking a Software Engineer to be based in the historic L3Harris Camden Waterfront Campus. Responsibilities include the translation of requirements into working and maintainable solutions for our Integrated Systems & Encription team. The selected candidate will apply technical proficiency across various stages of our Software Development Life Cycle (SDLC), gather requirements and work closely with stakeholders to prioritize and scope tasks. The selected candidate will be working as a key team member on a Scrum team and will be instrumental in setting our direction and strategy for product and infrastructure development. Tasks include: Apply computer science, engineering, and mathematical analysis concepts and principles in the development of software for the target hardware. Work closely with cross functional members of the engineering organization to develop and evaluate interfaces between hardware and software, and operational performance requirements and design of the overall system. Support and participate in all phases of the software development life cycle, including requirements analysis, design, implementation, hardware-software integration, and formal test. Develop software test plans and procedures, and other relevant technical documentation. Utilize modeling tools and equipment to establish operating data, conduct experimental tests, prototype, and evaluate results. Participate in peer reviews, identify, track and repair defects. Utilize a variety of software languages (primarily Java/C/C++ and Python), in Windows, Linux (RHEL 7/8), mobile platforms, and embedded real time operating systems (VxWorks, Linux, Integrity, and others for Motorola, Intel, TI, and custom processor designs). Participate in peer reviews, identify, track and repair defects. Develop software test plans and procedures, and other relevant technical documentation. Support and participate in all phases of the software development life cycle, including requirements analysis, design, implementation, hardware-software integration, and formal test. Investigate root cause of complex issues, and implement solutions, working independently or with a multi-discipline team. Developing Software utilizing Modern Cloud Application Development tools and standards. Utilize modeling tools and equipment to establish operating data, conduct experimental tests, prototype, and evaluate results. Usage of Platform as a Service and Infrastructure as a Service technologies, such as VMWare, OpenShift, or similar Experience with Red Hat Enterprise Linux. Ability to obtain and maintain a US Security Clearance. Required Qualifications: Bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science, or related field and 4 years of prior applicable experience; or, a Masters Degree with 2 years of related experience. At least 2 years of experience developing software in Java, C, and/or C++ and debugging application and cloud-based applications. Exposure to debugging embedded applications on simulated and target hardware. Hardware / Software Integration experience. Experience with Rational Team Concert (RTC), or Jira. Preferred Additional Skills: Experience with Agile Scrum Practices. Active Department of Defense (DoD) SECRET clearance. Excellent oral and written communication skills. Experience developing device drivers and software for integrated communication systems. Object-oriented design and implementation experience, with exposure to software modeling and UML. Knowledge of network architectures and protocols. Experience with commercial telephony software packages, such as Asterisk. Experience with implement Risk Management Framework (RMF) security control across application software. Experience with static analysis, code coverage tools, and automated test frameworks. Experience with communication systems (VOIP/DSL). In compliance with pay transparency requirements, the salary range for this role is $94,341.00 - $156,188.00. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
09/28/2026
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Member Engineering Staff - Embedded Software Engineer Job Code: 41906 Job Location: Camden, NJ (On-Site) Schedule: 9/80 Regular (Every Other Friday Off) Position is to be based in the historic L3Harris Camden Waterfront Campus! L3Harris is dedicated to recruiting and developing diverse, high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. About L3Harris Technologies: L3Harris Technologies is an agile global aerospace and defense technology innovator, delivering end-to-end solutions that meet customers' mission-critical needs. The company provides advanced defense and commercial technologies across space, air, land, sea and cyber domains. L3Harris has approximately $18 billion in annual revenue and 47,000 employees, with customers in more than 100 countries. Job Description: The L3Harris is seeking a Software Engineer to be based in the historic L3Harris Camden Waterfront Campus. Responsibilities include the translation of requirements into working and maintainable solutions for our Integrated Systems & Encription team. The selected candidate will apply technical proficiency across various stages of our Software Development Life Cycle (SDLC), gather requirements and work closely with stakeholders to prioritize and scope tasks. The selected candidate will be working as a key team member on a Scrum team and will be instrumental in setting our direction and strategy for product and infrastructure development. Tasks include: Apply computer science, engineering, and mathematical analysis concepts and principles in the development of software for the target hardware. Work closely with cross functional members of the engineering organization to develop and evaluate interfaces between hardware and software, and operational performance requirements and design of the overall system. Support and participate in all phases of the software development life cycle, including requirements analysis, design, implementation, hardware-software integration, and formal test. Develop software test plans and procedures, and other relevant technical documentation. Utilize modeling tools and equipment to establish operating data, conduct experimental tests, prototype, and evaluate results. Participate in peer reviews, identify, track and repair defects. Utilize a variety of software languages (primarily Java/C/C++ and Python), in Windows, Linux (RHEL 7/8), mobile platforms, and embedded real time operating systems (VxWorks, Linux, Integrity, and others for Motorola, Intel, TI, and custom processor designs). Participate in peer reviews, identify, track and repair defects. Develop software test plans and procedures, and other relevant technical documentation. Support and participate in all phases of the software development life cycle, including requirements analysis, design, implementation, hardware-software integration, and formal test. Investigate root cause of complex issues, and implement solutions, working independently or with a multi-discipline team. Developing Software utilizing Modern Cloud Application Development tools and standards. Utilize modeling tools and equipment to establish operating data, conduct experimental tests, prototype, and evaluate results. Usage of Platform as a Service and Infrastructure as a Service technologies, such as VMWare, OpenShift, or similar Experience with Red Hat Enterprise Linux. Ability to obtain and maintain a US Security Clearance. Required Qualifications: Bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science, or related field and 4 years of prior applicable experience; or, a Masters Degree with 2 years of related experience. At least 2 years of experience developing software in Java, C, and/or C++ and debugging application and cloud-based applications. Exposure to debugging embedded applications on simulated and target hardware. Hardware / Software Integration experience. Experience with Rational Team Concert (RTC), or Jira. Preferred Additional Skills: Experience with Agile Scrum Practices. Active Department of Defense (DoD) SECRET clearance. Excellent oral and written communication skills. Experience developing device drivers and software for integrated communication systems. Object-oriented design and implementation experience, with exposure to software modeling and UML. Knowledge of network architectures and protocols. Experience with commercial telephony software packages, such as Asterisk. Experience with implement Risk Management Framework (RMF) security control across application software. Experience with static analysis, code coverage tools, and automated test frameworks. Experience with communication systems (VOIP/DSL). In compliance with pay transparency requirements, the salary range for this role is $94,341.00 - $156,188.00. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
Sr. Staff AI Engineer (Remote Eligible)
Capital One Mc Lean, Virginia
Sr. Staff AI Engineer (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Define and steer the technical AI architecture vision, integrating applied research breakthroughs into production ecosystems with reliability and scale Lead the establishment of AI performance, safety, and transparency standards that guide all model development and deployment company-wide Drive multi-year platform initiatives that unify data, compute and model lifecycle management under and cohesive enterprise AI architecture Mentor senior technical leaders across research, data and engineering disciplines, developing the next generation of Capital One's AI technical leadership Capital One is open to hiring a Remote Employee for this opportunity. Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience architecting AI platforms with tradeoff decisions around cost, latency, throughput and accuracy 9+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Recognized industry leader in applied AI or machine learning infrastructure through patents, publications, or open-source leadership Demonstrated experience designing long-term AI infrastructure strategies - balancing cost, scale, ethics and regulatory compliance Experience driving organization-wide adoption of AI safety, alignment and governance standards, collaborating with policy, risk and legal teams Proven ability to shape R&D investment strategy by identifying breakthrough AI capabilities with material business impact Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Staff AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Staff AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Staff AI Engineer New York, NY: $343,400 - $392,000 for Sr. Staff AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Staff AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Staff AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
09/28/2026
Full time
Sr. Staff AI Engineer (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Define and steer the technical AI architecture vision, integrating applied research breakthroughs into production ecosystems with reliability and scale Lead the establishment of AI performance, safety, and transparency standards that guide all model development and deployment company-wide Drive multi-year platform initiatives that unify data, compute and model lifecycle management under and cohesive enterprise AI architecture Mentor senior technical leaders across research, data and engineering disciplines, developing the next generation of Capital One's AI technical leadership Capital One is open to hiring a Remote Employee for this opportunity. Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience architecting AI platforms with tradeoff decisions around cost, latency, throughput and accuracy 9+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Recognized industry leader in applied AI or machine learning infrastructure through patents, publications, or open-source leadership Demonstrated experience designing long-term AI infrastructure strategies - balancing cost, scale, ethics and regulatory compliance Experience driving organization-wide adoption of AI safety, alignment and governance standards, collaborating with policy, risk and legal teams Proven ability to shape R&D investment strategy by identifying breakthrough AI capabilities with material business impact Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Staff AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Staff AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Staff AI Engineer New York, NY: $343,400 - $392,000 for Sr. Staff AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Staff AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Staff AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Sr. Staff AI Engineer (Remote Eligible)
Capital One New York, New York
Sr. Staff AI Engineer (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Define and steer the technical AI architecture vision, integrating applied research breakthroughs into production ecosystems with reliability and scale Lead the establishment of AI performance, safety, and transparency standards that guide all model development and deployment company-wide Drive multi-year platform initiatives that unify data, compute and model lifecycle management under and cohesive enterprise AI architecture Mentor senior technical leaders across research, data and engineering disciplines, developing the next generation of Capital One's AI technical leadership Capital One is open to hiring a Remote Employee for this opportunity. Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience architecting AI platforms with tradeoff decisions around cost, latency, throughput and accuracy 9+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Recognized industry leader in applied AI or machine learning infrastructure through patents, publications, or open-source leadership Demonstrated experience designing long-term AI infrastructure strategies - balancing cost, scale, ethics and regulatory compliance Experience driving organization-wide adoption of AI safety, alignment and governance standards, collaborating with policy, risk and legal teams Proven ability to shape R&D investment strategy by identifying breakthrough AI capabilities with material business impact Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Staff AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Staff AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Staff AI Engineer New York, NY: $343,400 - $392,000 for Sr. Staff AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Staff AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Staff AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
09/28/2026
Full time
Sr. Staff AI Engineer (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Define and steer the technical AI architecture vision, integrating applied research breakthroughs into production ecosystems with reliability and scale Lead the establishment of AI performance, safety, and transparency standards that guide all model development and deployment company-wide Drive multi-year platform initiatives that unify data, compute and model lifecycle management under and cohesive enterprise AI architecture Mentor senior technical leaders across research, data and engineering disciplines, developing the next generation of Capital One's AI technical leadership Capital One is open to hiring a Remote Employee for this opportunity. Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience architecting AI platforms with tradeoff decisions around cost, latency, throughput and accuracy 9+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Recognized industry leader in applied AI or machine learning infrastructure through patents, publications, or open-source leadership Demonstrated experience designing long-term AI infrastructure strategies - balancing cost, scale, ethics and regulatory compliance Experience driving organization-wide adoption of AI safety, alignment and governance standards, collaborating with policy, risk and legal teams Proven ability to shape R&D investment strategy by identifying breakthrough AI capabilities with material business impact Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Staff AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Staff AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Staff AI Engineer New York, NY: $343,400 - $392,000 for Sr. Staff AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Staff AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Staff AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Sr. Staff AI Engineer
Capital One New York, New York
Sr. Staff AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Define and steer the technical AI architecture vision, integrating applied research breakthroughs into production ecosystems with reliability and scale Lead the establishment of AI performance, safety, and transparency standards that guide all model development and deployment company-wide Drive multi-year platform initiatives that unify data, compute and model lifecycle management under and cohesive enterprise AI architecture Mentor senior technical leaders across research, data and engineering disciplines, developing the next generation of Capital One's AI technical leadership Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience architecting AI platforms with tradeoff decisions around cost, latency, throughput and accuracy 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Recognized industry leader in applied AI or machine learning infrastructure through patents, publications, or open-source leadership Demonstrated experience designing long-term AI infrastructure strategies - balancing cost, scale, ethics and regulatory compliance Experience driving organization-wide adoption of AI safety, alignment and governance standards, collaborating with policy, risk and legal teams Proven ability to shape R&D investment strategy by identifying breakthrough AI capabilities with material business impact Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $314,800 - $359,300 for Sr. Staff AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Staff AI Engineer New York, NY: $343,400 - $392,000 for Sr. Staff AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Staff AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Staff AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Staff AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
09/28/2026
Full time
Sr. Staff AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Define and steer the technical AI architecture vision, integrating applied research breakthroughs into production ecosystems with reliability and scale Lead the establishment of AI performance, safety, and transparency standards that guide all model development and deployment company-wide Drive multi-year platform initiatives that unify data, compute and model lifecycle management under and cohesive enterprise AI architecture Mentor senior technical leaders across research, data and engineering disciplines, developing the next generation of Capital One's AI technical leadership Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience architecting AI platforms with tradeoff decisions around cost, latency, throughput and accuracy 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Recognized industry leader in applied AI or machine learning infrastructure through patents, publications, or open-source leadership Demonstrated experience designing long-term AI infrastructure strategies - balancing cost, scale, ethics and regulatory compliance Experience driving organization-wide adoption of AI safety, alignment and governance standards, collaborating with policy, risk and legal teams Proven ability to shape R&D investment strategy by identifying breakthrough AI capabilities with material business impact Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $314,800 - $359,300 for Sr. Staff AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Staff AI Engineer New York, NY: $343,400 - $392,000 for Sr. Staff AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Staff AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Staff AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Staff AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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