188 jobs found

AI Engineer 5 (MLXT) 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. Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 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 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 7+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting complex AI systems 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 Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression 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: $229,900 - $262,400 for AI Engineer 5 McLean, VA: $229,900 - $262,400 for AI Engineer 5 New York, NY: $250,800 - $286,200 for AI Engineer 5 San Francisco, CA: $250,800 - $286,200 for AI Engineer 5 San Jose, CA: $250,800 - $286,200 for AI Engineer 5 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 . click apply for full job details

AI Engineer 4 (MLX) 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. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 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 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services 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 Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms 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: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Francisco, CA: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 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).

AI Engineer 5 (MLXT) 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. Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 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 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 7+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting complex AI systems 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 Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression 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: $229,900 - $262,400 for AI Engineer 5 McLean, VA: $229,900 - $262,400 for AI Engineer 5 New York, NY: $250,800 - $286,200 for AI Engineer 5 San Francisco, CA: $250,800 - $286,200 for AI Engineer 5 San Jose, CA: $250,800 - $286,200 for AI Engineer 5 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 . click apply for full job details

AI Engineer 4 (MLX) 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. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 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 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services 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 Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms 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: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Francisco, CA: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 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).

Job description: Software Engineer Full Stack We are seeking a talented Software Engineer with a strong Computer Science foundation to join a highly collaborative team developing a complex, cloud-based software planning system supporting a critical government mission. This is an opportunity to work on sophisticated software spanning backend infrastructure, APIs, frontend web applications, system integration, testing, and quality assurance. Youll have meaningful ownership in designing and building maintainable, extensible software while working alongside experienced engineers, government stakeholders, and external development partners. The ideal candidate is a strong software engineer who cares about clean architecture, well-designed code, system integration, and delivering reliable software in a collaborative environment. What Youll Do Design, develop, integrate, test, and maintain complex software applications and infrastructure Develop backend services, APIs, and frontend web applications Contribute to software architecture and technical design decisions Build well-designed, maintainable, scalable, and extensible code Integrate software components and systems developed by multiple teams and organizations Develop and maintain technical and software design documentation Participate in software testing, debugging, troubleshooting, and quality assurance Work closely with a distributed engineering team, government stakeholders, and external development partners Communicate technical concepts and design decisions clearly to both technical and non-technical stakeholders Contribute to the continued evolution and improvement of a sophisticated cloud-based software platform Required Qualifications Bachelors degree in Computer Science, Mathematics, Physics, Applied Mathematics, or a related technical field 3+ years of professional software engineering or software development experience U.S. Citizenship with ACTIVE TS/SCI Clearance Strong experience with Java, TypeScript, and object-oriented programming Experience designing and implementing APIs and integrating software systems Familiarity with full-stack web application development Strong understanding of software engineering principles and development best practices Excellent written and verbal communication skills, with the ability to clearly articulate technical designs and concepts Demonstrated ability to work effectively in a collaborative, multi-organization engineering environment Preferred Qualifications Experience with any of the following is highly desirable: MongoDB RabbitMQ Spring Boot React / Redux WebGL and/or OpenGL AWS Docker and Kubernetes Git and CI/CD DevSecOps User interface and UX development Formal software engineering documentation, including Software Design Descriptions and Interface Design Descriptions Software troubleshooting and system-level debugging Mathematics, particularly Probability/Statistics, Linear Algebra, and Multivariate Calculus Previous experience supporting the U.S. Navy or other Department of Defense organizations Why This Opportunity? This role offers the chance to work on technically challenging, mission-critical software where your engineering decisions have a direct impact on the success of a government program. Youll work with a talented distributed development team while gaining exposure to modern cloud, full-stack, API, DevSecOps, and systems-integration technologies. If youre a software engineer who enjoys solving complex problems, building quality software, and working on meaningful technical challenges, wed like to hear from you. Qualifications: Required Qualifications Bachelors degree in Computer Science, Mathematics, Physics, Applied Mathematics, or a related technical field 3+ years of professional software engineering or software development experience U.S. Citizenship with ACTIVE TS/SCI Clearance Strong experience with Java, TypeScript, and object-oriented programming Experience designing and implementing APIs and integrating software systems Familiarity with full-stack web application development Strong understanding of software engineering principles and development best practices Excellent written and verbal communication skills, with the ability to clearly articulate technical designs and concepts Demonstrated ability to work effectively in a collaborative, multi-organization engineering environment Preferred Qualifications Experience with any of the following is highly desirable: MongoDB RabbitMQ Spring Boot React / Redux WebGL and/or OpenGL AWS Docker and Kubernetes Git and CI/CD DevSecOps User interface and UX development Formal software engineering documentation, including Software Design Descriptions and Interface Design Descriptions Software troubleshooting and system-level debugging Mathematics, particularly Probability/Statistics, Linear Algebra, and Multivariate Calculus Previous experience supporting the U.S. Navy or other Department of Defense organizations Why This Opportunity? This role offers the chance to work on technically challenging, mission-critical software where your engineering decisions have a direct impact on the success of a government program. Youll work with a talented distributed development team while gaining exposure to modern cloud, full-stack, API, DevSecOps, and systems-integration technologies. Why is This a Great Opportunity: Software Engineer Full Stack We are seeking a talented Software Engineer with a strong Computer Science foundation to join a highly collaborative team developing a complex, cloud-based software planning system supporting a critical government mission. This is an opportunity to work on sophisticated software spanning backend infrastructure, APIs, frontend web applications, system integration, testing, and quality assurance. Salary Type : Annual Salary Salary Min : $ 140000 Salary Max : $ 190000 Currency Type : USD

Job description: Join an exciting FinTech/Payments company as it builds a new technology platform and business offering from the ground up. We seek Senior Full Stack Java Developers with 10-20 years of experience designing and delivering high-quality software products. These positions will consist of about 80% backend and 20% front-end. LOCATION REQUIREMENTS: Candidates must be based in the Dallas area This is a hybrid role requiring work to be completed onsite three days per week (Tuesday, Wednesday, and Thursday). We seek software engineering professionals who: Lead through technical expertise rather than title. Have a passion for clean, maintainable, scalable software. Think architecturally while remaining pragmatic. Understand SOLID principles, Enterprise Integration Patterns, Design Patterns (Gang of Four), and Agile methodologies. Enjoy mentoring and developing engineers. Thrive in a fast-paced, collaborative environment where innovation is encouraged. OVERALL DUTIES: Part of a team to lead the architecture and design of a modern technology platform. Develop highly scalable, secure, cloud-native applications utilizing Java and the Spring ecosystem. Partner with executive leadership to align technical strategy with business objectives. Define software engineering standards, architectural patterns, and development best practices. Mentor and coach software engineers while fostering a collaborative engineering culture. Lead technical design reviews and provide architectural guidance across development teams. The current tech stack includes Java 25, React 19, Spring Boot 4.1, Spring Framework, Hibernate, REST APIs, PostgreSQL, Git, Maven, Claude Code, and AWS. Qualifications: Approximately 10-20 years of professional software engineering experience. Extensive experience designing and building enterprise Java applications. AI-enabled development experience REQUIRED Deep expertise with: Java Spring Boot and Spring Framework Hibernate REST APIs React Maven AWS Cloud Services (ECS/Fargate preferred) Strong understanding of distributed systems and cloud architecture. Experience designing highly available, scalable software platforms. PREFERRED: Payment processing or financial services technology PCI DSS v4 compliance SOC 2 Type II controls Secure software development Event-driven architecture RabbitMQ, Kafka, or JMS messaging Kotlin Building software within regulated environments U.S. Citizens or Green Card holders only, please. We are unable to accept 3rd party candidates, transfer a visa, or provide sponsorship. Why is This a Great Opportunity: You will join a small yet dynamic and growing technology company providing credit card/debit card payment processing services. The company will also be designing and developing a payment gateway. The leadership team has deep experience in the payments industry.

Job description: We are seeking a mid-level Software Development Engineer in Test (SDET) to help build and mature the testing infrastructure supporting production software for simulation, optimization, and decision support in mission-focused environments. This role is for someone who can develop robust test harnesses, mocking infrastructure, and automated and manual testing strategies. A successful candidate will also help integrate testing into CI/CD pipelines and improve software quality and reliability across Java, Rust, and TypeScript-based applications. The strongest candidates will bring solid software development fundamentals, hands-on experience with software testing and test infrastructure, and the technical judgment to build scalable, maintainable testing practices across a growing production codebase. Required Qualifications SECRET CLEARANCE Bachelors degree in computer science, mathematics, physics, applied math, or related field At least 3 years of industry experience Experience building test infrastructure including mocking and CI/CD pipelines Experience in software testing and test harness development Experience designing automated and manual testing Software Development experience in Java, Rust or Typescript/React Ability to work effectively with researchers, engineers, and end users to translate technical concepts into usable software Familiarity with full-stack web application development in any frameworks/languages U.S. CITIZENSHIP REQUIRED Experience using ADO, Gitlab or similar CI/CD tools Qualifications: Required Qualifications secret clearance Bachelors degree in computer science, mathematics, physics, applied math, or related field At least 3 years of industry experience Experience building test infrastructure including mocking and CI/CD pipelines Experience in software testing and test harness development Experience designing automated and manual testing Software Development experience in Java, Rust or Typescript/React Ability to work effectively with researchers, engineers, and end users to translate technical concepts into usable software Familiarity with full-stack web application development in any frameworks/languages U.S. CITIZENSHIP REQUIRED Experience using ADO, Gitlab or similar CI/CD tools Why is This a Great Opportunity: We are seeking a mid-level Software Development Engineer in Test (SDET) to help build and mature the testing infrastructure supporting production software for simulation, optimization, and decision support in mission-focused environments. This role is for someone who can develop robust test harnesses, mocking infrastructure, and automated and manual testing strategies. Salary Type : Annual Salary Salary Min : $ 125000 Salary Max : $ 175000 Currency Type : USD

Job description: Were looking for a mid-level Rust Software Engineer to build and optimize high-performance software supporting simulation, optimization, and decision support in mission-focused environments. You'll work in a large, production Rust codebase alongside researchers and engineers, turning complex algorithms and research into reliable, performant software. The role spans backend services, databases, frontend applications, and supporting infrastructure, making it a strong fit for an engineer who enjoys solving challenging technical problems and seeing research become operational capability. What Youll Do Develop and maintain production software in a large Rust codebase Design and optimize performance-sensitive algorithms and computational workloads Build backend services using technologies such as Axum and Tokio Integrate software with databases, frontend applications, APIs, and infrastructure Collaborate with researchers, engineers, and end users to translate complex technical concepts into practical software Help evolve research-driven capabilities into scalable, maintainable production systems Required Qualifications Bachelors degree in Computer Science, Mathematics, Physics, Applied Mathematics, or a related technical field 3+ years of professional software engineering experience Strong experience developing production-grade, performance-sensitive software in Rust Experience developing backend services with Axum or similar frameworks Experience with asynchronous programming, preferably using Tokio Strong software engineering fundamentals and problem-solving skills Experience working across the software stack, including familiarity with web application development Ability to collaborate effectively with researchers, engineers, and end users U.S. citizenship required ACTIVE SECRET Security Clearance Preferred Qualifications ACTIVE TS/SCI CLEARANCE Why This Role This is an opportunity to work on technically challenging, mission-critical software where performance matters and your work directly contributes to real-world capabilities. Youll have the chance to operate at the intersection of advanced research and production engineering, working with a highly technical team to turn sophisticated algorithms into software that performs in the real world. Qualifications: Required Qualifications Bachelors degree in Computer Science, Mathematics, Physics, Applied Mathematics, or a related technical field 3+ years of professional software engineering experience Strong experience developing production-grade, performance-sensitive software in Rust Experience developing backend services with Axum or similar frameworks Experience with asynchronous programming, preferably using Tokio Strong software engineering fundamentals and problem-solving skills Experience working across the software stack, including familiarity with web application development Ability to collaborate effectively with researchers, engineers, and end users U.S. citizenship required ACTIVE SECRET Security Clearance Preferred Qualifications ACTIVE TS/SCI CLEARANCE Why This Role This is an opportunity to work on technically challenging, mission-critical software where performance matters and your work directly contributes to real-world capabilities. Youll have the chance to operate at the intersection of advanced research and production engineering, working with a highly technical team to turn sophisticated algorithms into software that performs in the real world. Why is This a Great Opportunity: Were looking for a mid-level Rust Software Engineer to build and optimize high-performance software supporting simulation, optimization, and decision support in mission-focused environments. Salary Type : Annual Salary Salary Min : $ 125000 Salary Max : $ 175000 Currency Type : USD

Job description: Software Engineer Simulation, Optimization & Decision Support Join a team building mission-critical software that turns complex technical concepts into tools decision-makers actually rely on. You'll work across the full stack from backend services to the interfaces that make sophisticated simulations and optimization models usable and across the full lifecycle, from early prototyping through deployment. We're a small, collaborative group where engineers own real problems end to end. If you like working close to the research, translating hard technical ideas into clean, maintainable software, and seeing your work go from whiteboard to operational use, this role is built for you. What You'll Do Build and scale full-stack applications supporting simulation, optimization, and decision-support tools Design backend services and APIs (Java, Rust, or similar) Build responsive, intuitive front-end applications (React, TypeScript) Partner directly with researchers and end users to shape requirements and translate technical concepts into working software Contribute at every stage prototyping, implementation, demos, and deployment Required Qualifications Bachelor's degree in Computer Science, Mathematics, Physics, Applied Math, or related field 5+ years of professional software engineering experience Strong experience with React, TypeScript, and modern front-end tooling Experience building backend services/APIs in Java, Rust, or similar languages A track record of writing readable, maintainable, well-engineered code in a collaborative setting Comfort working directly with researchers, engineers, and end users to turn ideas into usable software Exposure to full-stack web development in any modern framework U.S. citizenship required; must hold an active Top Secret clearance Nice to Have Active TS/SCI clearance Experience with performance-sensitive, algorithmic, or parallel/concurrent software Background in defense, national security, or other mission-driven environments 3D, geospatial, or high-performance visualization experience (WebGL, OpenGL) Experience with distributed systems, databases, or messaging/async processing Familiarity with AI/ML-enabled software (LLMs, computer vision, model integration) Experience with cloud/containerized deployment (AWS, Docker, Kubernetes, CI/CD) Qualifications: Required Qualifications Bachelor's degree in Computer Science, Mathematics, Physics, Applied Math, or related field 5+ years of professional software engineering experience Strong experience with React, TypeScript, and modern front-end tooling Experience building backend services/APIs in Java, Rust, or similar languages A track record of writing readable, maintainable, well-engineered code in a collaborative setting Comfort working directly with researchers, engineers, and end users to turn ideas into usable software Exposure to full-stack web development in any modern framework U.S. citizenship required; must hold an active Top Secret clearance Nice to Have Active TS/SCI clearance Experience with performance-sensitive, algorithmic, or parallel/concurrent software Background in defense, national security, or other mission-driven environments 3D, geospatial, or high-performance visualization experience (WebGL, OpenGL) Experience with distributed systems, databases, or messaging/async processing Familiarity with AI/ML-enabled software (LLMs, computer vision, model integration) Experience with cloud/containerized deployment (AWS, Docker, Kubernetes, CI/CD) Why is This a Great Opportunity: Join a team building mission-critical software that turns complex technical concepts into tools decision-makers actually rely on. You'll work across the full stack from backend services to the interfaces that make sophisticated simulations and optimization models usable and across the full lifecycle, from early prototyping through deployment. We're a small, collaborative group where engineers own real problems end to end. If you like working close to the research, translating hard technical ideas into clean, maintainable software, and seeing your work go from whiteboard to operational use, this role is built for you. Salary Type : Annual Salary Salary Min : $ 135000 Salary Max : $ 175000 Currency Type : USD

About Company: At ADP we use the most comprehensive data in the industry to create workplace insights that help inform products, ideas, and decisions every day. For 75 years, ADP has been building a better world of work. Learn why more than 1,000,000 clients rely on ADP and why we're always designing for people. About the Role: As a Full Stack Developer, you will play a pivotal role in designing, developing, and maintaining both the front-end and back-end components of our web applications. Your work will directly impact the user experience and the overall performance of our software products, ensuring they are scalable, secure, and efficient. You will collaborate closely with cross-functional teams including product managers, designers, and other developers to translate business requirements into technical solutions. This role demands a strong understanding of modern web technologies and best practices to deliver high-quality code and innovative features. Ultimately, your contributions will drive the continuous improvement and success of our digital platforms within the information industry. Minimum Qualifications: Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience. Proven experience as a Full Stack Developer or similar role in software development. Proficiency with front-end technologies such as HTML5, CSS3, JavaScript, and frameworks like React, Angular, or Vue.js. Strong knowledge of back-end programming languages such as Node.js, Python, Java, or Ruby. Experience with database systems including SQL and NoSQL databases. Familiarity with RESTful API design and integration. Understanding of version control systems, preferably Git. Ability to write unit and integration tests to ensure code quality. Preferred Qualifications: Experience with cloud platforms such as AWS, Azure, or Google Cloud. Knowledge of containerization and orchestration tools like Docker and Kubernetes. Familiarity with CI/CD pipelines and automated deployment processes. Experience working in Agile/Scrum development environments. Strong understanding of web security principles and best practices. Contributions to open-source projects or a personal portfolio demonstrating coding skills. Responsibilities: Develop and maintain responsive web applications using modern front-end frameworks and back-end technologies. Collaborate with product and design teams to implement user-friendly interfaces and seamless user experiences. Write clean, maintainable, and well-documented code following industry best practices and coding standards. Perform code reviews, testing, and debugging to ensure software quality and reliability. Optimize applications for maximum speed and scalability while ensuring security compliance. Participate in agile development processes including sprint planning, daily stand-ups, and retrospectives. Troubleshoot and resolve technical issues across the full technology stack. Stay current with emerging technologies and industry trends to continuously enhance development practices. Skills: The required skills enable you to build and maintain both client-side and server-side components of web applications, ensuring seamless integration and functionality. Front-end skills allow you to create intuitive and responsive user interfaces, while back-end expertise ensures robust server logic and database management. Your proficiency with APIs and version control supports collaborative development and integration with other systems. Preferred skills such as cloud platform knowledge and containerization enhance your ability to deploy and scale applications efficiently in modern environments. Together, these skills empower you to deliver high-quality, secure, and scalable software solutions that meet business needs and user expectations.

Job Description Job Description Locations: Athens, OH / New Albany, OH Schedule: 8-hour shifts Travel: Up to 100% Contract: Contract opportunity Job Overview We are looking for a hands-on Data Center Services Technician to support installation, maintenance, and operational activities in hyperscale and enterprise data center environments. This position is a good fit for candidates with experience in data center operations, structured cabling, telecommunications, field services, or Information Technology (IT) infrastructure . Key Responsibilities Install and deploy servers, network devices, storage equipment, and related infrastructure. Perform rack-and-stack activities and equipment installation. Install, route, terminate, label, and dress copper and fiber cabling. Install rack Power Distribution Units (PDUs) and connect equipment to power. Perform equipment provisioning and hardware component installation. Connect and support Out-of-Band (OOB) management systems. Perform continuity testing, fiber verification, and equipment turn-up. Perform Moves, Adds, Changes, and Disconnects (MACD) and Field-Replaceable Unit (FRU) replacements. Maintain installation records, test results, inventory, and as-built documentation. Identify and escalate technical, design, and safety issues. Required Qualifications High school diploma, technical certification, vocational training, or equivalent experience. 1+ year of experience in data centers, structured cabling, telecommunications, field services, or IT infrastructure. Hands-on experience with racks, servers, networking equipment, and cabling. Knowledge of copper and fiber cabling practices. Ability to read engineering drawings, installation documents, and Methods of Procedure (MOPs). Ability to work independently with minimal supervision. Valid state ID or driver's license. Ability to lift and move equipment up to 50 lbs. Comfortable working on ladders or elevated work platforms. Willingness to travel up to 100%. Preferred Experience Fiber verification and continuity testing. Optical networking. Equipment turn-up and provisioning. MACD activities. FRU replacement. Out-of-Band (OOB) management. Company Description • What you didn't know about us: • Competitive salary • Health, Dental and Vision Benefits • Short/Long Term Disability and Critical Care/Illness Protection • Life Insurance and Retirement Plans • Employee Assistance Program • With this position, you will get the opportunity to work with our game changing clients and further advance your already valuable experience in the telecom industry! • We are Connectors. We thrive on 'quality over quantity' and put in the work building strong relationships. We create connections, discover qualities, uncover skills, and place people with accuracy. We are your true partner! • We are Collaborators. You'll be working with a wholly-owned subsidiary of Kelly and part of the Kelly Telecom division. It allows us to be as nimble and fiercely competitive as a startup while having the backing of a multibillion dollar publicly traded company which has been in business for 75 years. With direct access to hiring managers, services don't stop at standard recruiting processes. We use our expertise to improve your application skills and provide ongoing career support. • We give 24/7 Support. We are in this together. We provide around the clock availability, competitive employee benefits, and continuously check-in to make sure things are going smoothly. Check out our Glassdoor page! • Kelly Telecom is an equal opportunity employer and will consider all applications without regard to race, genetic information, sex, age, color, religion, national origin, veteran status, disability, or any other characteristic protected by law. • For more information click Equal Employment Opportunity is the law. • You should know: Your safety matters! Vaccination against COVID-19 may be a requirement for this job in compliance with current client and governmental policies. A recruiter will confirm and share more details with you during the interview process. Company Description • What you didn't know about us: • Competitive salary • Health, Dental and Vision Benefits • Short/Long Term Disability and Critical Care/Illness Protection • Life Insurance and Retirement Plans • Employee Assistance Program • With this position, you will get the opportunity to work with our game changing clients and further advance your already valuable experience in the telecom industry! • We are Connectors. We thrive on 'quality over quantity' and put in the work building strong relationships. We create connections, discover qualities, uncover skills, and place people with accuracy. We are your true partner! • We are Collaborators. You'll be working with a wholly-owned subsidiary of Kelly and part of the Kelly Telecom division. It allows us to be as nimble and fiercely competitive as a startup while having the backing of a multibillion dollar publicly traded company which has been in business for 75 years. With direct access to hiring managers, services don't stop at standard recruiting processes. We use our expertise to improve your application skills and provide ongoing career support. • We give 24/7 Support. We are in this together. We provide around the clock availability, competitive employee benefits, and continuously check-in to make sure things are going smoothly. Check out our Glassdoor page! • Kelly Telecom is an equal opportunity employer and will consider all applications without regard to race, genetic information, sex, age, color, religion, national origin, veteran status, disability, or any other characteristic protected by law. • For more information click Equal Employment Opportunity is the law. • You should know: Your safety matters! Vaccination against COVID-19 may be a requirement for this job in compliance with current client and governmental policies. A recruiter will confirm and share more details with you during the interview process.

Job Description Job Description Description Technical Lead - Microsoft Technologies (.NET, Azure, Angular, AI) Preference will be given to candidates located in Dallas, TX, New Jersey or New York City metro area who are willing to have an insite interview, and/or work a hybrid schedule. About Hallmark Health Care Solutions At Hallmark Health Care Solutions, what we do and how we do it go hand in hand. We bring a relentless focus to both our products and our people-grounded in curiosity, a bias for action, accountability and ownership, strong judgment, and a willingness to challenge the status quo in pursuit of better outcomes. Hallmark Health Care Solutions is led by passionate experts with an average of 20+ years' experience in IT, nursing, process engineering, finance, and healthcare. We are committed to strengthening communities by producing technologies, support services, and thought leadership that tangibly improve patient care and community health outcomes. Position Summary Seeking a hands-on Technical Lead with strong Microsoft stack, Azure, Angular, and cloud-native application expertise. The ideal candidate will lead teams, design scalable solutions, and drive engineering best practices. Experience with Azure AI, Azure OpenAI, or similar platforms is required. The role combines technical leadership, hands-on development, code reviews, architecture guidance, and mentoring. Key Responsibilities Software Development Design and develop scalable enterprise applications using C#, .NET Core/.NET 8+, ASP.NET Core, and Web APIs. Develop modern, responsive front-end applications using Angular and TypeScript. Build secure RESTful APIs and microservices. Optimize application performance, scalability, and reliability. Troubleshoot complex production issues and provide root cause analysis. Exposure to Basic Azure Cloud & Infrastructure Management and services like AKS, Service Bus, App Insights etc . Design and implement authentication and authorization using Microsoft Entra ID (Azure AD) and Azure AD B2C (Microsoft Entra External ID). Candidate should have practical experience implementing AI solutions, Should have exposure to Database design & Performance optimization AI Solution Design & Delivery Understand business problems and translate them into scalable AI/ML and Generative AI solutions. Design, develop, and deploy enterprise-grade AI systems with a strong focus on reliability, scalability, monitoring, and measurable outcomes. Lead or contribute to multiple AI initiatives simultaneously while coordinating with engineering leads, product managers, architects, and offshore teams. Technical Leadership Lead one or more Agile development teams delivering enterprise SaaS applications. Provide technical direction and architectural guidance throughout the software development lifecycle. Establish and enforce coding standards, design principles, and development best practices. Conduct thorough code reviews and ensure high-quality, maintainable code. Mentor developers and help improve their technical capabilities. Participate in sprint planning, backlog refinement, estimation, and technical design discussions. Drive engineering excellence through automation, quality, and continuous improvement. Candidate will be working closely with Product Managers, Architects, QA Engineers, DevOps Engineers, and Business Analysts. Skills, Knowledge & Expertise Required Qualifications Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience). 8+ years of software development experience using Microsoft technologies. 3+ years leading engineering teams or serving as a Technical Lead Expert-level proficiency in: C# .NET Core / .NET 6/7/8 ASP.NET Core Web APIs Entity Framework Core SQL Server Strong experience with Angular (v12+) and TypeScript. 2+ years of software engineering experience with at least 3+ years focused on AI/ML and Generative AI initiatives. Strong hands-on experience building and deploying production AI systems. Experience delivering AI initiatives independently in enterprise environments. Strong understanding of LLMs, Agentic AI architectures, and RAG systems. Extensive experience designing and developing cloud-native applications on Microsoft Azure. Strong understanding of Microservices Architecture and Domain-Driven Design (DDD). Experience implementing CI/CD pipelines using Azure DevOps or GitHub Actions. Strong knowledge of Azure AD, Azure AD B2C (Microsoft Entra External ID), OAuth 2.0, and JWT. Excellent debugging, troubleshooting, and performance optimization skills. Experience conducting technical design reviews and code reviews. Job Benefits Medical, Dental, and Vision Insurance with Employee Premiums Covered by HHCS at 100% and Company Cost Share for any Dependents Enrolled $3000 Annual Company Contributions to HSAs for all Employees Enrolled in the HSA Eligible Health Plan Unlimited Paid Time Off Pre-Tax and Roth 401(K) Retirement Options On-Site Gym, Free Parking, and Provided Lunches 3 Times per Week in the Dallas Office! Hallmark Health Care Solutions, Inc is an Equal Opportunity Employer. All employment decisions are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex, age, physical, mental or sensory disability, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. HHCS reserves the right to amend the job description, duties or qualifications based on company needs. By applying to Hallmark Health Care Solutions, your application and all supplemental information is subject to our Privacy Policy. When clicking "Apply", you will be redirected to our Applicant Tracking System, Pinpoint.

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) 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).

Job Description Job Description ABOUT ROCKET LAB Rocket Lab is the end-to-end space company building rockets, spacecraft, and critical subsystems that keep the world connected, protected, expand humanity's reach to the Moon, Mars, and beyond. We move fast, build real hardware for meaningful missions, and make the impossible routine. Come shape the future with us. SPACE SYSTEMS At Rocket Lab, we're not just launching rockets - we're building the future of space. Our Space Systems team builds everything from complete spacecraft, precision payloads to the components and subsystems that allow them to thrive in space, like solar panels, flight software, star trackers, optical systems, separation systems, radios, and more. Our Space Systems team has enabled more than 1,700 missions, ranging from interplanetary exploration, in-space manufacturing to national security and defense initiatives. The team has built spacecraft, payloads, and components for missions to the Moon and Mars, working with partners including NASA, the Space Development Agency, and the U.S. Space Force. Whether it's a single high-performance spacecraft, constellation, or the vertically integrated components that help them get to space - our world class Space Systems team is empowering some of the boldest and most ambitious space missions PRINCIPAL SPACECRAFT OPERATIONS ENGINEER II- SECRET CLEARANCE Based on site at Rocket Lab's headquarters in Long Beach, CA the PrincipalSpacecraft Operations Engineer is responsible for ensuring the health, safety, and optimal performance of a growing fleet of satellites while meeting mission objectives and SLAs for both commercial and government customers. This includes supporting diverse missions such as LEO constellations, interplanetary exploration, LEO rendezvous, and SDA-related deployments. Your expertise would be critical during commissioning, orbit raising, routine operations, and potentially re-entry phases, ensuring the health and safety of Rocket Lab's expanding fleet. The Spacecraft Operations team works closely with related teams, such as spacecraft design, AIT, flight software, propulsion, GNC, flight dynamics and ground software development to help improve both the ground and satellite-based capabilities over time. The space operations experience at Rocket Lab is unique because you will cover a multitude of roles/positions and responsibilities, with the large majority of the technical products being supplied through the vertical integration/in-house. WHAT YOU'LL GET TO DO: Serve as the program's mission operations technical lead: set the technical direction and strategy for operations, plan and prioritize the work of the mission operations staff, and act as the primary operations point of contact for program-level design decisions and trades Advocate for operability across the program: influence spacecraft and ground architecture upstream so vehicles are designed to be operated safely, efficiently, and autonomously, and push for changes to program design and execution when operational needs demand it Own mission operations requirements and lead requirements validation and verification for spacecraft missions and system-level capability and function Define the automation strategy and lead the development of robust, software-driven methods for mission operations, testing, and data analysis to ensure efficient, repeatable, and reliable spacecraft operation Design, develop, and test flight software sequences and FDIR/telemetry configurations to ensure spacecraft health and fault management through software-driven processes Architect, develop, and test ground software for long-duration operations, including scripting and automation frameworks that make operations robust, hands-off, and scalable across a growing fleet Establish and steward the integration, testing, and maintenance of mission operations tooling and codebases, including CI, version control, and release discipline. Ensure the on-call or shift schedules of operations Author and own interface specifications, CONOPS, contingency procedures, and other operational design documents Lead validation of flight products and procedures against spacecraft simulation tools, including flatsat, HITL, SIL, and digital twins Support AIT teams across multiple spacecraft integrated tests (TVAC, propulsion stack, DITL Provide program and product support to team leads and program managers, and serve as a key technical interface between the NZ and USA engineering teams Represent mission operations in program milestone reviews, design reviews, and readiness gates, and drive continuous improvement through post-mission lessons learned YOU'LL BRING THESE QUALIFICATIONS AS A PRINCIPALSPACECRAFT OPERATIONS ENGINEER: Bachelor's degree in engineering (software, computer, electrical, aerospace, mechanical, or other technical engineering discipline) 12+ years of direct experience in any of the following: space mission design, satellite subsystems, ground systems, spacecraft command control, or spacecraft operations 5+ years of experience leading teams of engineers through spacecraft missions or related aerospace projects Previous experience in roles such as Mission Lead, Mission Director, Flight Director, or Senior Spacecraft Operations Engineer Previous experience supporting mission operations activities in an on-console or operator-in-the-loop capacity Thorough understanding of key spacecraft subsystems and associated components, including attitude determination and control systems (ADCS), electrical power systems (EPS), space-to-ground communications, command and data handling (C&DH), thermal control systems (TCS), spacecraft propulsion systems, and fault detection, isolation, and recovery (FDIR) Understanding of the space environment, orbital mechanics, and rigid body dynamics 5+ years of direct software development experience (Python/Ruby/C/C++/other high-level languages), covering items such as spacecraft onboard flight scripts, ground scripting and automation, and data manipulation and analysis US citizenship is required due to program requirements Active U.S. Government Secret Security Clearance THESE QUALIFICATIONS WOULD BE NICE TO HAVE: Master's or PhD engineering in engineering (software, computer, electrical, aerospace, mechanical, or other technical engineering discipline) Prior experience in spacecraft operations Prior experience in satellite system design Prior experience in satellite ground systems Exposure to modern development practices - GIT, CI/CD, cloud infrastructure Proficiency with Agile issue-tracking tools, specifically Jira, for mission task management, status tracking, and bug reporting Software-in-the-Loop (SIL) Testing: Exposure to testing frameworks that simulate software behavior in operational environments. Hardware-in-the-Loop (HIL) Testing: Familiarity with testing frameworks that integrate software and hardware systems. Active TS/SCI U.S. Government Security Clearance This position may require prolonged periods of sitting, standing, walking, computer work, and occasional exposure to moderate levels of noise, dust, and fumes in production areas Anticipated annual equity grant value is designed around function, level, experience, and other factors; realized value depends on vesting and stock-price performance. Join one of the world's fastest-growing space companies and own a piece of it. In addition to competitive base pay, you'll receive company stock as part of your total compensation package, giving you a direct stake in our success. As we expand to new launch sites, groundbreaking missions, and global markets, your ownership has the opportunity to grow alongside the company. Our comprehensive benefits package includes our industry-leading Employee Stock Purchase Program (with a 15% discount on company stock), top-tier medical plans (HMO, PPO, and a zero cost HDHP option with a significant HSA company contribution), dental and vision coverage, paid vacation and sick time, 11 paid holidays, flexible spending and dependent care accounts, paid parental leave, disability and life insurance, and a 401(k) retirement plan with company match. Additional perks include subsidized EV charging, onsite fitness centers (where available), discounted gym memberships, complimentary snacks and beverages, 50% employee discount on our popular merch store, and a variety of other employee discounts. Level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. Total Compensation (base and equity) $223,025-$339,400 USD Base Salary $173,300-$259,850 USD WHAT TO EXPECT We're on a mission to unlock the potential of space to improve life on Earth, but that's not an easy task. It takes hard work, determination, relentless innovation, teamwork, grit, and an unwavering commitment to achieving what others often deem impossible. Our people out-think, out-work, and out-pace. We pride ourselves on having each other's backs, checking our egos at the door, and rolling up our sleeves on all tasks big and small. We thrive under pressure, work to tight deadlines, and our focus is always on how we can deliver, rather than dwelling on the challenges that stand in the way. Important information: . click apply for full job details

Job Description Job Description Amphenol Communications Solutions (ACS), a division of Amphenol Corporation, is a world leader in interconnect solutions for Communications, Mobile, RF, Optics, and Commercial electronics markets. Amphenol Corporation is one of the world's largest designers and manufacturers of electrical, electronic and fiber optic connectors and interconnect systems, antennas, sensors and sensor-based products and coaxial and high-speed specialty cable. ACS has an expansive global presence in research and development, manufacturing, and sales. We design and manufacture a wide range of innovative connectors as well as cable assemblies for diverse applications including server, storage, data center, mobile, RF, networking, industrial, business equipment, and automotive. Amphenol Communications Solutions (ACS), a division of Amphenol Corporation, is a world leader in interconnect solutions for Communications, Mobile, RF, Optics, and Commercial electronics markets. Amphenol Corporation is one of the world's largest designers and manufacturers of electrical, electronic and fiber optic connectors and interconnect systems, antennas, sensors and sensor-based products and coaxial and high-speed specialty cable. ACS has an expansive global presence in research and development, manufacturing, and sales. We design and manufacture a wide range of innovative connectors as well as cable assemblies for diverse applications including server, storage, data center, mobile, RF, networking, industrial, business equipment, and automotive. Position: Power Integrity Engineer Location: Valley Green, PA Amphenol High Speed Products Group is the market leader for high speed, high bandwidth electrical connectors for the Telecom/Datacom market (Mobile Networks, Storage, Servers, Routers, Switches, etc.). Our products help to enable the electronics revolution and remain a key enabler for all the major Tier 1 OEMs globally. We are currently seeking a Power Integrity Engineer to join our Cable Backplane Systems team. The position will be located in Valley Green, PA. We are seeking a skilled and detail-oriented Power Integrity (PI) Engineer to join our high-performance engineering team. In this role, you will be responsible for analyzing, simulating, and optimizing power delivery networks (PDN) for next-generation high-speed systems. The concentration will be specifically on interconnects. You will work closely with signal integrity, PCB design, and hardware teams to ensure robust power delivery that meets primarily impedance requirements with the possible addition of requirements for noise and ripple. Additional responsibilities could include the evaluation of shielding for EMI/EMC remediation. This is a hands-on engineering role that requires strong technical skills, creative problem-solving, and the ability to collaborate with cross-functional teams in a fast-paced environment. RESPONSIBILITIES: Perform power integrity simulations (AC impedance, DC IR drop, and transient analysis) to ensure PDN performance. Design and optimize decoupling strategies, capacitor selection, and placement for complex boards and systems. Interact with customers to determine their power interconnect needs. Perform EMI/EMC risk assessments related to power distribution. Collaborate with SI engineers to co-optimize power and signal integrity. Develop PDN models and validate through lab measurements (VNA impedance sweeps, oscilloscope ripple measurements). Work with PCB designers on layer stack-up, plane assignments, and power routing. Assist in root-cause analysis and debugging of customer power-related issues. Document best practices and contribute to design guidelines for power delivery networks. QUALIFICATIONS: Required: Bachelor's degree in Electrical Engineering or related field (Master's preferred) 3+ years of experience in power integrity, signal integrity, or hardware design Hands-on experience with PDN simulation tools (examples: Keysight PIPro, ANSYS Q3D, HFSS, and SIwave, Cadence Sigrity PowerSI, etc.) Experience with SPICE simulation and transient load modeling Strong understanding of PDN impedance, VRM behavior, and decoupling network design Proficiency in PCB stack-up design, power plane resonance control, and capacitor optimization Excellent analytical, communication, and documentation skills Preferred: Familiarity with high-speed digital systems (SerDes, DDR, PCIe) Knowledge of EMI/EMC compliance testing and mitigation techniques Background in scripting or automation (MATLAB, Python) for data analysis Experience with lab instrumentation: VNAs, oscilloscopes, spectrum analyzers Amphenol Corporation is proud of our reputation as an excellent employer. Our focus is to provide the highest level of support and responsiveness to both our employees and our customers, the world's largest technology companies. Amphenol Corporation offers the opportunity for career growth within a global organization. We believe that Amphenol Corporation is unique in that every employee, regardless of his or her position, has the ability to positively impact the business. Amphenol is an "Equal Opportunity Employer" - Minority/Female/Disabled/Veteran/Sexual Orientation/Gender Identity/National Origin. For additional company information please visit our website at

Job Description Job Description Who We Are: Aurelius Systems is a VC backed defense tech startup building autonomous, edge deployed directed energy systems for counter-UAS. We build laser weapons to shoot down drones. We're a small team of 10 engineers, former US military operators, and subject matter experts scaling America's directed energy dominance. The first cost effective, reliable and robust laser weapon system. Our namesake isn't an accident. Marcus Aurelius wrote about doing the work in front of you, every day, without excuses. Henry Ford didn't wait for permission to reinvent manufacturing. That's how we operate - small team, unreasonable output, no hiding behind the unachievable. In addition to our San Francisco lab, we opened our Detroit manufacturing hub and field test weekly on our own 400-acre private range. The Role and Your Impact: We need a Principal Hardware Engineer to bring senior technical judgment across Archimedes hardware. You are a highly experienced builder who has seen systems go the full way. From a working prototype to hardware that ships and survives in the field. You've done it more than once. You know where systems break, where teams get stuck, and how to keep both moving. This is a technical leadership seat, not a people management seat. Your role is to raise the level of the hardware org through experience, architectural judgment, and hands-on execution. You lead by example, you unblock hard problems, and you set the technical bar for how hardware gets designed and shipped at Aurelius. You'll partner with the founders and the Director of Engineering on architecture and roadmap. You'll work directly alongside mechanical, electrical, power, embedded, and optics engineers on the hardest problems the team is facing. What You'll Own: Architectural direction across the hardware stack from mechanical, electrical, power, to embedded integration Technical decisions on the hardest problems, from concept through production readiness Pattern recognition and technical review like surfacing risk early, and catching what junior engineers miss Handson execution when the problem needs your specific experience to solve fast Design and manufacturing trades across cost, mass, reliability, schedule, and field performance Cross-team judgment when hardware, controls, optics, and software collide Setting the technical bar for design reviews, documentation quality, and release standards Mentorship by example. Engineers should learn from watching you work, not from being managed by you What We're Looking For: 10+ years designing and shipping complex hardware systems Track record taking systems the full development cycle from prototype through manufacturing and deployment Senior IC or technical leadership background at hardware companies that actually shipped Deep technical judgment across at least two of: mechanical, electrical, power electronics, embedded systems Pattern recognition from having built real systems before, especially systems that had to survive real-world conditions Comfort operating as the technical anchor on a small team, not the manager of a large one Nice to Haves: Directed energy, laser, or high-power systems experience Defense or aerospace program experience with MIL-STD or equivalent qualification Founder or founding engineer background at a hardware company Manufacturing depth as-in you've stood up production lines or worked closely with the manufacturers who do Active security clearance or ability to obtain one How You Operate: Extreme bias for action. You'd rather build a prototype tomorrow than model it for a month You characterize your own systems before the field does Comfortable with ambiguity and fast iteration in a startup environment You debug from first principles, not intuition alone Clear communicator across mechanical, electrical, optical, and software teams Self directed. You identify what needs to happen next and do it without being told Why Join Aurelius Systems: Build more in 1 month than most engineers build in 1 year. We field test weekly. Your work goes downrange, not into a filing cabinet. Career velocity is real. At 10 engineers, there are no layers between you and impact. Work on a problem that actually matters. Small cheap drones are changing warfare. Our laser systems are the asymmetric answer - infinite magazine, near zero cost per shot, scalable to every base, border, facility, and truck. Join the densest defense startup ecosystem in the country. California is where the next generation of defense companies are being built. How We Work: Core hours are Monday through Friday, 9 to 6. When we're sprinting toward a demo or field test, the team ramps up - nights, weekends, whatever it takes to ship. When the sprint lands, we ramp down. We don't manufacture intensity for show. Benefits: Competitive salary and equity United Health Care medical, dental, and vision coverage Flexible 18 days PTO plus 5 sick days Travel to field test events and range days Covered daily lunches and office snacks and drinks E-bike and scooter stipend up to $500 Direct access to leadership and real ownership over your work Export Control Notice: This role requires access to export-controlled information or items that require U.S. Person status. As defined by U.S. law, individuals who are any one of the following are considered to be a U.S. Person: (1) U.S. citizens, (2) legal permanent residents (a.k.a. green card holders), and (3) certain protected classes of asylees and refugees, as defined in 8 U.S.C. 1324b(a)(3). Compensation Range: $255K - $305K

Job Description Job Description Job Description ACTIVE SECURITY CLEARANCE AT THE TS/SCI POLYGRAPH LEVEL IS REQUIRED In this role, you will serve as the heartbeat of our technical stack-integrating, installing, configuring, upgrading, compiling, and sustaining complex COTS/GOTS software in a highly diverse, heterogeneous operating environment. You won't just keep systems running; you'll take true software product ownership for advanced HPC tools, execute benchmark test codes to characterize system performance, develop dynamic custom tool plugins, and guide the optimal HPC configuration tailored to real-world customer needs. If you love deep-dive troubleshooting, switching flexibly across architectural paradigms, and bringing your authentic self to solve tough defense tech problems, Team Nyla wants you on the front lines with us! The annual base salary range for this role is $212,000-$251,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things. , Required Skills COTS/GOTS Software Integration: Mastery in integrating, installing, configuring, upgrading, compiling, and supporting complex COTS and GOTS software components in heterogeneous OS environments. Linux Administration Scripting: Strong foundational Linux system administration skills and advanced shell scripting capability for automation and environment management. HPC Tool Product Ownership Configuration: Demonstrated ability to provide product ownership for High-Performance Computing (HPC) tools and determine optimal configurations aligned to mission demands. Plugin Development Customization: Proven experience developing custom software tool plugins in the target programming language of the hosted tools. Testing Performance Characterization: Capability to write and execute test codes to characterize software performance, optimize execution, and resolve issues. Tooling Documentation: Working knowledge of Configuration Management (CM) tools, web documentation platforms, and issue-tracking systems, along with full-stack software documentation skills. Education: Bachelor's Degree in Computer Science, Computer Engineering, Software Engineering, or a related technical discipline, PLUS 10+ years of professional software engineering experience OR Master's Degree in a related field, PLUS 8 + years of specialized software engineering experience OR High School Diploma / GED, PLUS 15+ years of hands-on technical software development and big data administration experience in lieu of a degree. , Desired Skills Deep experience adapting quickly in fast-paced environments and seamlessly transitioning across distinct architectural paradigms. Experience with HPC scheduler frameworks, distributed file systems, and specialized parallel processing architectures. Excellent collaborative communication, creative problem-solving skills, and a passion for continuous learning and technology leadership. , About Nyla Technology Solutions Nyla Technology Solutions delivers exceptional Artificial Intelligence (AI), Data Science, and Software Engineering services for the U.S. Government. Nyla embraces a forward-thinking and bold approach at every turn, earning us a solid reputation of technical trendsetters within the industry. We have a passion for developing solutions that have a quick and immediate impact on mission. Headquartered in Columbia, Maryland, our customers love how we tackle their most challenging problems and get things done. If you have the unique experience and expertise we are seeking, along with the desire and determination to invest your time and energy as a part of Nyla's team, Taking Care of All of You Nyla provides a top-of-market compensation and benefits package. And through our unique Nyla FLEX program, we custom tailor these benefits to best fit your lifestyle. The Nyla FLEX benefit program is designed to offer you flexibility in the 3 biggest areas of your life: your pay, your leave, and your schedule. PAY - Nyla starts with 4 weeks of Annual Leave plus 11 holidays and an additional day of Annual Leave for each year you're at the company. You have the flexibility to cash out your annual leave hours, opt out of other Nyla benefits, and/or arrange for additional hours on contract (over 40 hrs/week). There's even an option to earn 1.3 times your hourly rate once you work over 1880 hours on contract! LEAVE - Want to spend more time with the family? Want more time to travel the world? You can BUY additional annual leave for a total of 6 weeks of annual leave. That's up to 240 hours of leave plus 11 holidays! That's not even including paid anniversary leave! SCHEDULE - Does the traditional 40-hour workweek no longer fit your lifestyle? With Nyla FLEX, you have the freedom to scale down to 30-32 hours while still enjoying the top-notch Nyla benefits you know and love. It's flexibility that works for you without compromising the perks! WHAT ABOUT OTHER BENEFITS? Nyla's health care (medical, dental, and vision) is 100% covered by the company. We provide 10% 401k matching - with full vesting day 1! Our Professional Development offers $5,000 per year to be used towards fees, tuition, or time off for your continued growth. We even have a student loan repayment program and we provide 8 hours of volunteering annually so you can support your community, making your world a better place. To learn more about Nyla's culture and our exceptional benefit packages click here. Nyla is an equal opportunity employer.