110 jobs found

Description: THE COMPANY For over 40 years, Aero Simulation, Inc. (ASI) has provided quality flight training devices to the US Military. ASI has successfully built numerous training systems with a primary focus on aircrew and maintenance training systems. Our current programs include, but are not limited to, the B-1 Training Systems (Air Force), E-2D Training Systems (Navy), CH-53E Training Devices (USMC), IMOMS (Coast Guard), Navigation, Seamanship, Shiphandling Trainer - NSST (Navy). To learn more about ASI visit Programs- Aero Simulation, Inc. ASI is a 100% employee-owned engineering and manufacturing company committed to supporting the nation's warfighters. Being 100% employee-owned directly impacts our culture: it drives our decision-making, motivates our teams, increases our productivity, improves retention and contributes to the future success of our company. Our culture is one where we work hard for our clients and for each other - and we have fun collaborating, sharing experience and expertise, and learning along the way. We strive to deliver exceptional quality, elevate client relationships, and enrich the careers and lives of our employee-owners. As Employee-Owners, we are invested in the success and continued development of each other and the company. In addition to the Employee Stock Ownership Plan (ESOP), we offer a flexible work environment, generous paid time off, professional development opportunities, industry competitive compensation, and superior benefits to include medical, dental, 401k and more! ASI is a great place to build a career and grow with a company that is dedicated to quality, service and to fostering a community of support for each and every member of the team. To learn more about this opportunity, keep reading! POSITION SUMMARY ASI is seeking a Model-Based Systems Engineering (MBSE) Systems Engineer to support a large-scale, complex engineering program. This position may be filled at multiple levels based on the candidate's experience, technical background, and demonstrated MBSE capabilities. The selected candidate will support the development and implementation of MBSE practices across the system lifecycle, including requirements analysis, architecture development, interface definition, verification planning, and digital engineering integration. The ideal candidate combines strong systems engineering fundamentals with MBSE expertise and hands-on experience using SysML-based modeling tools such as Cameo Systems Modeler. The candidate will work across multidisciplinary teams to establish and maintain system architecture, ensure end-to-end traceability, and support program execution through a robust digital engineering environment. Depending on experience level, the candidate may support or lead technical modeling, architecture, and systems engineering activities across multidisciplinary teams. ESSENTIAL DUTIES AND RESPONSIBILITIES Develop, maintain, and manage system architecture models using SysML and MBSE methodologies including structural, behavioral, interface, and requirements traceability views Create and maintain system views that support requirements traceability, architecture definition, interface management, and verification planning. Support requirements analysis, decomposition, allocation, traceability and verification activities throughout the system lifecycle and across multidisciplinary teams. Collaborate with software, hardware, test, cybersecurity, and operations teams to ensure system-level integration and consistency. Support system integration, verification, validation, technical reviews, and engineering assessments. Support digital engineering initiatives, including integration with requirements management, configuration management, and product lifecycle management (PLM) tools. Conduct trade studies, architecture evaluations, risk assessments, and technical analyses to support engineering decisions. Develop and implement MBSE modeling standards, practices, and governance processes appropriate to program needs and experience level. Communicate technical concepts, model results, and engineering recommendations to stakeholders and program leadership. Establish MBSE modeling standards, workflows, and governance processes as applicable to experience level SUPERVISORY RESPONSIBILITES This job has no supervisory responsibilities, however this role is expected to mentor junior engineers and support the growth of MBSE capabilities across the organization, as applicable. Requirements: EXPERIENCE REQUIREMENTS MBSE I Bachelor's degree in a related engineering discipline. 3+ years of systems engineering or MBSE experience. MBSE II Bachelor's degree in a related engineering discipline. 5+ years of systems engineering or MBSE experience. Demonstrated ability to perform systems engineering activities with limited supervision. MBSE III Bachelor's degree in a related engineering discipline. 8+ years of systems engineering or MBSE experience. Demonstrated technical leadership experience supporting complex engineering programs. Ability to lead architecture development, technical reviews, and cross-functional engineering efforts. Responsibilities, technical authority, and scope of work will be commensurate with experience level. BASIC QUALIFICATIONS Experience developing system models using Cameo Systems Modeler or similar SysML-based MBSE tools. Strong understanding of systems engineering lifecycle processes, requirements management, traceability, and verification and validation methodologies. Experience supporting engineering activities within a multidisciplinary development environment. Experience working in cross-functional engineering environments PREFERRED QUALIFICATIONS Experience implementing or supporting MBSE on defense, aerospace, simulation, training, or other complex engineering programs. Knowledge of Digital Engineering frameworks, strategies, digital thread, and digital thread concepts. Experience and/or familiarity of integrating MBSE tools with requirements management and PLM environments such as DOORS Next, Polarion, Tor PLM integration environments. Familiarity with DoD Architecture Framework (DoDAF), UAF, or related architecture frameworks. INCOSE ASEP, CSEP, or ESEP certification. Active DoD security clearance or ability to obtain and maintain one. ADDITIONAL REQUIRED SKILLS AND ABILITIES Strong analytical, problem-solving, and communication skills. Ability to develop and maintain positive working relationships with internal and external customers Ability to adapt communication style and messaging to different audiences Ability to manage multiple priorities and projects simultaneously, ensuring stakeholder expectations are managed appropriately Ability to work in a project-oriented, fast paced environment to meet deadlines The candidate must be able to work in a team environment, or independently, as necessary, and be a self-starter who will attack designs and resolve problems effectively and efficiently Proficiency in common business software (Microsoft Office - Word, Outlook, Power Point, Excel, Visio, Teams/SharePoint) Ability to work with project teams to successfully deliver new or modified functionalities Keen attention to detail to deliver solutions that meet business requirements and are operationally supportable EDUCATION REQUIREMENTS Bachelor's degree in Systems Engineering, Electrical Engineering, Aerospace Engineering, Computer Engineering, Software Engineering, or a related technical discipline. Master's degree in Systems Engineering or a related engineering discipline is preferred. EMPLOYMENT REQUIREMENTS U.S. Citizenship Required: As a federal contractor supporting the U.S. warfighter, it is required that all employees in this role be United States citizens in compliance with government contract and security requirements. Background Check: Must be able to successfully pass an initial background screening. Security Clearance: Must be able to obtain and maintain an active Department of Defense (DoD) security clearance. The selected candidate will be subject to a government security investigation and must meet eligibility requirements for access to classified information, as required by the position. Work Schedule Flexibility: Occasional overtime and alternate shifts may be required to meet customer schedules, critical deadlines, or program milestones. Travel Requirements: Must be able and willing to travel domestically and, on occasion, internationally to customer sites, partner locations, or project meetings in support of contract objectives. Drug-Free Workplace: ASI maintains a Drug-Free Workplace. Applicants and employees are subject to pre-employment and random drug testing in accordance with company policy. Employment Contingency: All employment offers are contingent upon the successful completion of all background checks, security clearance requirements, and drug-screening results. PHYSICAL REQUIREMENTS Candidate must be able to work in small-confined spaces (simulator cockpits) Typically, employees sit comfortably to do their work, interspersed by brief periods of standing, walking, bending carrying papers and books . click apply for full job details

Senior Lead AI Engineer (AI Foundations: LLM Customization, Finetuning, Reinforcement Learning) Overview: 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. In this role, you will: 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, 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, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM 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. 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 enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer 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, or Java Preferred Qualifications: 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, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, 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 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 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 Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead 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).

Lead AI Engineer (AI Foundations, VLM Customization) 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. In this role, you will: 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, 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, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM 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. 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 enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer 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, or Java Preferred Qualifications: 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, 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 Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production 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 Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead 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 Lead AI Engineer (AI Foundations: LLM Customization, Finetuning, Reinforcement Learning) Overview: 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. In this role, you will: 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, 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, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM 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. 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 enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer 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, or Java Preferred Qualifications: 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, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, 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 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 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 Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead 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).

Lead AI Engineer (AI Foundations, VLM Customization) 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. In this role, you will: 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, 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, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM 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. 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 enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer 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, or Java Preferred Qualifications: 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, 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 Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production 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 Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead 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).

Description: KTS develops complex, cutting-edge avionics and ground hardware and software solutions supporting digital interoperability, survivability, situational awareness, and data collection. We have a proven track record of delivering high quality products throughout the defense industry. KTS is seeking a senior systems engineer to develop requirements, create algorithms, perform system design, and integrate and test KTS products with a focus on tactical networking. A strong knowledge of networking fundamentals is required. This is a full-time position at the KTS facility in Des Plaines, IL. Responsibilities: Work with system architects to develop and evaluate networking algorithms optimized to work in a tactical networking environment Perform modeling and simulation to evaluate networking algorithm performance and support software development of a virtual routing environment tool Develop systems requirements, test procedures and automated tools to evaluate system performance Evaluate new tactical networking radios and communications systems to characterize their networking design and optimize integration with KTS products Rapidly prototype and integrate new tactical radios and communication systems into existing networking designs Assist with system integration, verification and validation, and effectiveness analysis Support demonstration and test events with customers and Warfighters Required Qualifications & Skills: Bachelor's or Master's degree in Electrical Engineering, Systems Engineering or related field with 10+ years of experience Experience in networking and routing protocols Experience with Linux operating systems and networking stack Strong analytical, problem-solving skills with experience in algorithm design Hands-on hardware and software troubleshooting skills Comfortable with C/C++ or scripting language programming Excellent written and oral communication skills Ability to travel Ability to obtain Security Clearance, for which the United States Government requires United States citizenship Other Preferred Skills: Experience with tactical MANET radios and HAIPE encryptors Technical and integration background with a solid understanding of developing battlespace CONOPS and mission-oriented solutions We recognize that attracting the best talent is key to our strategy and success as a company. As a result, we aim for flexibility in structuring competitive compensation offers to ensure we are able to attract the best candidates. As required by law in this state, the estimated salary range for this position is $100,000-$150,000 and represents our good faith estimate as to what our ideal candidates are likely to expect. We tailor our offers within the range based on organizational needs, internal equity, market data, geographic zone, and the selected candidate's experience, education, industry knowledge, location, technical and communication skills, and other factors that may prove relevant during the selection process. Benefits Kranze Technology Solutions is proud to provide extremely competitive benefits to all full time employees including: Comprehensive Leave Plan (Paid Time Off) Comprehensive Health Care package including Medical, Vision, Dental, Health Savings Account (HSA), and more 401(k) retirement plan Paid Overtime Flex Time and Flexible Scheduling Opportunities to travel Tuition Reimbursement options Casual work environment About Kranze Technology Solutions We are part of SPX Technologies' Communication Technologies platform in the Detection & Measurement business segment. KTS is focused in the defense industry specializing in Infrared Countermeasures (IRCM) systems, digital interoperability and networking, and program support for the US Navy, US Marine Corps, and Special Operations Command. We provide hardware and software product development, systems integration, system test and evaluation support, modeling and simulation analysis, and other engineering services to support the Warfighter. Each team member has significant opportunities to solve a variety of complex technical challenges in small teams while working hand in hand with our defense customers. KTS is an equal opportunity employer and prohibits discrimination and harassment of any kind. All applicants will be considered for employment without regards to race, color, religion, age, sex, sexual orientation, gender identity, national origin, veteran or disability status, or any other segmenting characteristics protected by law. If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to: Human Resources Powered by JazzHR Compensation details: 00 PI6428b9219edc-0105

Description: Keep our engineers building the equipment that powers North America Since 1927, Sherman + Reilly has designed and manufactured the pullers, tensioners, reel trailers, and stringing blocks that electric utility crews trust to string transmission and distribution lines safely across the continent. Behind every machine is a team of mechanical, electrical, and design engineers and behind that team is the CAD and PDM environment that lets them do their best work. That environment is where you come in. We're looking for a CAD/PDM Systems Administrator to be the technical owner of our engineering design toolset: the person who keeps SolidWorks fast, the PDM vault healthy, the workstations dialed in, and engineering data flowing cleanly into the systems that build our products. This is a hands-on, individual-contributor role. You will manage platforms, applications, and data supporting a close-knit team of roughly 20 designers and engineers who depend on you to keep them productive. What you'll own Be the SME. Serve as our single, authoritative expert for SolidWorks, eDrawings, and SolidWorks PDM. The final escalation point for CAD/PDM issues and the trusted advisor to engineering and IT leadership on standards, strategy, and tooling. Administer the CAD software. Deploy and maintain SolidWorks and add-ins across the engineering fleet, roll out upgrades and service packs, standardize settings and templates, and validate every change in a dedicated test environment before it reaches production. Run the PDM vault. Own permissions, workflows, revision and lifecycle schemes, data cards, backups, and replication. Design release processes with Document Control, onboard new users, and keep the vault healthy. Optimize the workstations. Specify, configure, and tune engineering-class workstations for CAD, large-assembly, and FEA workloads. Maintain certified GPU driver, BIOS, and firmware standards and build repeatable deployment images. Own performance and reliability. Establish baselines and benchmarks, monitor stability and crash telemetry, drive root-cause analysis, and plan capacity and hardware refresh cycles ahead of demand. Connect the data. Support the Bill of Material (BOM) process and tooling, maintain CAD/PDM-to-ERP integrations, and close gaps in part numbering, metadata, and BOM structure, automating repetitive tasks through scripting and APIs where it helps. Manage licensing and documentation. Track SolidWorks (SolidNetWork License Manager) and third-party licenses for allocation, renewals, and audit readiness, and keep clear work instructions and standards that the whole team can follow. Support the broader toolset. Be the go-to resource for the other software and specialized hardware the engineering team relies on, including third-party applications and 3D printers. Requirements: What you bring Associate's or Bachelor's degree in Engineering, Engineering Technology, Computer Science, IT, or equivalent experience 5+ years hands-on administering and supporting SolidWorks in a production engineering environment Demonstrated SolidWorks PDM administration experience, vault setup, workflows, permissions, and troubleshooting Working knowledge of engineering-class workstation hardware, GPU/driver management, and Windows optimization Experience supporting the BOM process and an understanding of engineering data structures Strong root-cause troubleshooting across software, hardware, and integration layers Excellent documentation and communication skills, with the patience to support and train non-technical engineers Nice to have Experience integrating CAD/PDM data with ERP or PLM platforms (e.g., SAP) SolidWorks certifications (CSWP/CSWE) or PDM administration certification PowerShell or similar scripting for automation and configuration management Familiarity with manufacturing environments - wire, cable, or heavy equipment a plus Exposure to FEA/simulation workloads and workstation tuning Experience with endpoint management (Intune/Autopilot), Active Directory, and enterprise security tooling Why Sherman + Reilly Your work has weight. The engineers you support design equipment that keeps line crews safe and the grid energized. You'll see the impact on the shop floor, not just on a dashboard. Real ownership. This is the CAD/PDM role. You'll set the standards, make the tooling decisions, and be the expert the team turns to with the autonomy to do it right. A company that lasts. Nearly a century of manufacturing in Chattanooga, and a reputation as North America's leading name in line-stringing equipment. On-site and grounded. You'll work alongside the engineering team in our Chattanooga facility, with occasional time on the manufacturing floor where the products come to life. Planned system maintenance is scheduled outside core hours (Mon-Fri, 6:00 AM-5:00 PM) so our engineers stay productive. Ready to apply? If you're the person who genuinely enjoys making CAD and PDM systems run flawlessly and wants that work to matter we'd like to hear from you. Apply with your resume and a short note about your SolidWorks and PDM administration experience. Sherman + Reilly is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected by law. Recruiter Notice: Sherman + Reilly does not accept unsolicited resumes from recruiters or staffing agencies. Any unsolicited resumes submitted to our employees, hiring managers, or Human Resources will become the property of Sherman + Reilly, and no placement fee or other compensation will be paid. PI62d7b52dd77b-5137

Job Description Your Mission The Systems Administrator is responsible for the implementation, administration, and ongoing support of the organization's IT infrastructure. This role ensures reliable operation, performance, and availability of IT systems that support daily business operations. The position works closely with IT teams and vendors to maintain and improve infrastructure services. How you will make a difference Network & Systems Management Install, configure, maintain, and support servers, workstations, operating systems, network equipment, and peripheral devices Manage server platforms, virtualization environments, email systems, print services, cloud and business applications Monitor system, server and application performance and address issues proactively Operations & Support Administer user accounts, permissions, and storage allocations Execute regular backups, restorations, and disaster recovery testing Troubleshoot and resolve hardware and software issues; escalate issues as needed Maintenance & Improvements Perform patching, upgrades, repairs, and reconfigurations of hardware and software Maintain accurate asset inventories, system documentation, and technical configurations Evaluate and recommend hardware, software, and infrastructure improvements Coordinate with application, database, and network teams on deployments and enhancements Collaboration & Documentation Work with vendors, service providers, and internal teams to support IT services Create technical documentation and operational reports Collaborate with IT Security Manager What you should be good at Education and Experience Education: Bachelor's degree in computer science, information technology or related field or equivalent practical experience Minimum of seven years' experience administering servers and enterprise IT systems. Technical knowledge Strong knowledge of network, server, and desktop operating systems Hands-on experience with enterprise network hardware and protocols Experience with virtualization platforms and enterprise applications Proven ability to troubleshoot complex hardware and software issues Experience with backup and recovery operations Experience maintaining system and process documentation Preferred / Beneficial Technical Experience Active Directory, Altiris, Azure, BeyondTrust, Cisco Switches, CrowdStrike, Ivanti Service Manager, Meraki Access Points (APs), Mimecast, M365, Proxmox Virtual Environment, VMWare, Windows Server Administration Work Conditions Full-time onsite position; prolonged periods of sitting and computer use Occasional lifting and movement of IT equipment; occasional inspection of cabling and infrastructure What you can look forward to Professional Development : Educational assistance programs and opportunities for career growth. Supportive Environment : A stable, team-based culture that values collaboration and innovation. Inclusive Workplace : Join a company committed to equity, diversity, and inclusion, fostering a culture of belonging. Comprehensive Benefits : 401(k) plan with matching contributions, health insurance (medical, dental, vision), FSA and HSA options. Generous PTO and paid holidays for a healthy work-life balance. Competitive Compensation : This is a salaried exempt position with a pay range from $72,000 - $107,000 per year. Pay will be based on qualifications and experience. Location: The role is based at the Deublin Company facility in Waukegan, IL. The role will work onsite five days per week. Local candidates encouraged to apply; no relocation benefit for this position. Travel : Limited international travel may be required Who we are Hoerbiger Rotary Solutions/Deublin Company is the leading manufacturer of Rotating Unions and Electrical Slip Rings- devices that allow the transfer of pressurized fluid or electricity from a stationary source into rotating machinery. Deublin spans the world with 13 offices including 5 manufacturing plants and wholly owned subsidiaries in Austria, Brazil, China, France, Germany, Italy, Japan, Korea, Poland, Singapore, Spain, United Kingdom and United States. In Waukegan, the award-winning, ISO 9001-certified manufacturing plant, comprises approximately 200,000 sq. ft. accommodating administration, sales, marketing, engineering, manufacturing, research and development as well as a complete training facility. Join our global Hoerbiger team of over 6,000 colleagues and make a difference every day. Contribute to innovative solutions that save lives, reduce emissions, and drive progress in key industries like energy, automotive, and safety technology. Guided by our core values-Pioneering Spirit, Courage, Fairness, and Closeness-we are ENABLING CHANGE. FOR A BETTER TOMORROW. With opportunities to grow, learn, and collaborate across 43 countries and more than 133 locations, you'll be part of a culture that values your ideas and your impact. Ready to make a difference? Apply today and become part of our journey. HOERBIGER is an Equal Opportunity Employer • Drug Free Workplace • E-verify

Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what's happening now and shape what's coming next. Vantor is a place for problem solvers, changemakers, and go-getters-where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can: Shape your own future, build the next big thing, and change the world. To be eligible for this position, you must be a U.S. Person, defined as a U.S. citizen, permanent resident, Asylee, or Refugee. Export Control/ITAR: Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3). Please review the job details below. The SpaceWrx division of Vantor is building the next generation of satellite systems, ground infrastructure, and mission operations capabilities that enable high-performance commercial and national security space missions. Our Mission Architecture & Systems Engineering (MASE) team provides the technical framework that enables disciplined system development across the entire program lifecycle-from concept through design, integration, verification, and operations. We are seeking an Associate Systems Engineer to help establish and maintain the systems engineering foundation that supports multiple complex development programs. This role is ideal for an early-career engineer who is highly organized, technically curious, and motivated to learn systems engineering while contributing to mission-critical programs. You will be responsible for administering and maintaining systems engineering artifacts, ensuring technical consistency across engineering teams, and helping enforce design processes, standards, and best practices. Working closely with systems engineers and technical leads across multiple disciplines, you will help ensure that requirements, models, design artifacts, verification evidence, and technical decisions remain organized, traceable, and aligned throughout the system lifecycle. This is an excellent opportunity to develop broad exposure to spacecraft, ground systems, and mission operations while building a strong foundation in modern systems engineering practices. Minimum Qualifications: Must be a U.S. Citizen Bachelor's degree in Systems Engineering , Aerospace Engineering, Mechanical Engineering, Electrical Engineering, Computer Engineering, Physics, or related technical discipline. 1-3 years of professional engineering experience or relevant internship/co-op experience. Fundamental understanding of systems engineering principles and the system development lifecycle. Familiarity with requirements management concepts, including decomposition, allocation, verification, and traceability. Exposure to Model-Based Systems Engineering (MBSE) concepts and SysML . Experience using engineering documentation, configuration-controlled repositories, or technical data management tools through academic or professional projects. Strong organizational skills with exceptional attention to detail. Ability to coordinate across multiple engineering disciplines while maintaining technical accuracy and data consistency. Excellent written and verbal communication skills. Ability to work effectively in a fast-paced, collaborative engineering environment with multiple concurrent development efforts. Preferred Qualifications: Experience with requirements management tools such as IBM DOORS Next, Jama Connect, Polarion , or similar platforms. Experience with MBSE tools such as Cameo Systems Modeler, Enterprise Architect, MagicDraw , or equivalent SysML modeling environments. Familiarity and exposure to the Ansys engineering tool suite , i ncluding STK. Familiarity with configuration management and engineering change processes. Understanding of requirements verification and validation planning. Experience organizing technical documentation and maintaining engineering baselines. Familiarity with digital engineering methodologies and lifecycle traceability from initial concept design to verification and validation . Exposure to spacecraft, satellite payloads, ground systems, mission operations, or other complex hardware/software systems. Experience using Git, Jira, Confluence, or similar engineering collaboration tools. Working knowledge of systems engineering standards such as ISO/IEC/IEEE 15288 , INCOSE systems engineering practices , or the NASA Systems Engineering Handbook . Demonstrated ability to learn new engineering tools and processes quickly while supporting multiple technical teams. Successful candidates are highly organized, take ownership of their work, communicate clearly, and enjoy enabling engineering teams to execute efficiently. They are motivated by building structure around complex technical programs, maintaining high-quality engineering data, and continuously improving engineering processes that support rapid, disciplined system development. While this role focuses on systems engineering administration and lifecycle management, it provides significant opportunities to grow into broader technical systems engineering, architecture, integration, and mission engineering responsibilities over time. Pay Transparency: To support pay transparency, Vantor includes salary ranges in all U.S. job postings. Starting pay for this role will fall within the listed range and will be based on factors such as experience, qualifications, skills, location, and market conditions. Candidates who meet the minimum requirements for the role should not expect to receive compensation at the top of the range. The listed range reflects the expected pay for this position, and final offers will be determined based on each candidate's experience, expertise, and alignment with the role. The base pay for this position within Colorado is: $86,000.00 - $115,000.00 - $126,500.00 annually. For all other states, we use geographic cost of labor as an input to develop market-driven ranges for our roles, and as such, each location where we hire may have a different range. Benefits: Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life. You can find more information on our benefits at: Additionally, this position is incentive eligible with a target based on contribution, company performance, and/or individual results achieved; the specific incentive plan and target amount will be determined based on the role and breadth of contributions. The application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire. If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire. The date of posting can be found on Vantor's Career page at the top of each job posting. To apply, submit your application via Vantor's Career page. EEO Policy: Vantor is an equal opportunity employer committed to an inclusive workplace. We believe in fostering an environment where all team members feel respected, valued, and encouraged to share their ideas. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability, protected veteran status, age, or any other characteristic protected by law.

Job Description Your Mission The Systems Administrator is responsible for the implementation, administration, and ongoing support of the organization's IT infrastructure. This role ensures reliable operation, performance, and availability of IT systems that support daily business operations. The position works closely with IT teams and vendors to maintain and improve infrastructure services. How you will make a difference Network & Systems Management Install, configure, maintain, and support servers, workstations, operating systems, network equipment, and peripheral devices Manage server platforms, virtualization environments, email systems, print services, cloud and business applications Monitor system, server and application performance and address issues proactively Operations & Support Administer user accounts, permissions, and storage allocations Execute regular backups, restorations, and disaster recovery testing Troubleshoot and resolve hardware and software issues; escalate issues as needed Maintenance & Improvements Perform patching, upgrades, repairs, and reconfigurations of hardware and software Maintain accurate asset inventories, system documentation, and technical configurations Evaluate and recommend hardware, software, and infrastructure improvements Coordinate with application, database, and network teams on deployments and enhancements Collaboration & Documentation Work with vendors, service providers, and internal teams to support IT services Create technical documentation and operational reports Collaborate with IT Security Manager What you should be good at Education and Experience Education: Bachelor's degree in computer science, information technology or related field or equivalent practical experience Minimum of seven years' experience administering servers and enterprise IT systems. Technical knowledge Strong knowledge of network, server, and desktop operating systems Hands-on experience with enterprise network hardware and protocols Experience with virtualization platforms and enterprise applications Proven ability to troubleshoot complex hardware and software issues Experience with backup and recovery operations Experience maintaining system and process documentation Preferred / Beneficial Technical Experience Active Directory, Altiris, Azure, BeyondTrust, Cisco Switches, CrowdStrike, Ivanti Service Manager, Meraki Access Points (APs), Mimecast, M365, Proxmox Virtual Environment, VMWare, Windows Server Administration Work Conditions Full-time onsite position; prolonged periods of sitting and computer use Occasional lifting and movement of IT equipment; occasional inspection of cabling and infrastructure What you can look forward to Professional Development : Educational assistance programs and opportunities for career growth. Supportive Environment : A stable, team-based culture that values collaboration and innovation. Inclusive Workplace : Join a company committed to equity, diversity, and inclusion, fostering a culture of belonging. Comprehensive Benefits : 401(k) plan with matching contributions, health insurance (medical, dental, vision), FSA and HSA options. Generous PTO and paid holidays for a healthy work-life balance. Competitive Compensation : This is a salaried exempt position with a pay range from $72,000 - $107,000 per year. Pay will be based on qualifications and experience. Location: The role is based at the Deublin Company facility in Waukegan, IL. The role will work onsite five days per week. Local candidates encouraged to apply; no relocation benefit for this position. Travel : Limited international travel may be required Who we are Hoerbiger Rotary Solutions/Deublin Company is the leading manufacturer of Rotating Unions and Electrical Slip Rings- devices that allow the transfer of pressurized fluid or electricity from a stationary source into rotating machinery. Deublin spans the world with 13 offices including 5 manufacturing plants and wholly owned subsidiaries in Austria, Brazil, China, France, Germany, Italy, Japan, Korea, Poland, Singapore, Spain, United Kingdom and United States. In Waukegan, the award-winning, ISO 9001-certified manufacturing plant, comprises approximately 200,000 sq. ft. accommodating administration, sales, marketing, engineering, manufacturing, research and development as well as a complete training facility. Join our global Hoerbiger team of over 6,000 colleagues and make a difference every day. Contribute to innovative solutions that save lives, reduce emissions, and drive progress in key industries like energy, automotive, and safety technology. Guided by our core values-Pioneering Spirit, Courage, Fairness, and Closeness-we are ENABLING CHANGE. FOR A BETTER TOMORROW. With opportunities to grow, learn, and collaborate across 43 countries and more than 133 locations, you'll be part of a culture that values your ideas and your impact. Ready to make a difference? Apply today and become part of our journey. HOERBIGER is an Equal Opportunity Employer • Drug Free Workplace • E-verify

Amazon Leo is an initiative to launch a constellation of Low Earth Orbit satellites that will provide low-latency, high-speed broadband connectivity to unserved and underserved communities around the world. As a Senior Phased Array Architect, you will lead critical efforts to design and deliver next-generation antenna systems that will redefine how people connect to the internet. you will: - Define and lead the architectural vision for advanced phased array antenna systems, ensuring they align with performance, scalability, and reliability goals. - Serve as the technical authority on phased array systems, providing strategic input on program decisions and long-term technology roadmaps. - Drive system-level design and optimization, creating blueprints that guide RF, digital, and hardware teams across the organization. - Oversee system integration, ensuring seamless interaction between phased array systems, RF front-ends, and digital beamforming architectures. - Guide cross-functional teams-including RF, software, and systems engineers-to implement designs that meet stringent performance, power, and thermal targets. - Collaborate with product management, supply chain, and operations to ensure architectural decisions align with business goals and production realities. - Set architectural direction for manufacturability and testability, ensuring designs are robust, scalable, and ready for high-volume production. - Mentor and develop junior engineers, cultivating a team culture of technical excellence and innovation. Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. BASIC QUALIFICATIONS- Bachelor's degree or above in electrical engineering, computer engineering, or equivalent - 7+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience leading cross-functional teams to deliver products and projects on tight deadlines - Experience in phased array design principles, including beamforming, steering, and calibration. - Experience with RF front-end design, high-speed digital systems, and signal integrity. - Experience with system modeling tools and architectural design methodologies. PREFERRED QUALIFICATIONS- Master's degree in electrical engineering, computer engineering, or equivalent - Experience in Space Vehicle/Satellite Operations, Space Communications or related industry - Experience in wireless system design and architecture, system integration, and RF system analysis - Experience in high-volume manufacturing environments - Familiarity with EM simulation tools (e.g., CST, HFSS, ADS) and system-level modeling platforms. - Knowledge of at least one modern programming or scripting language such as C, C++, Python, or MATLAB Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, WA, Redmond - 137 700.00 USD annually

Description: THE COMPANY For over 40 years, Aero Simulation, Inc. (ASI) has provided quality flight training devices to the US Military. ASI has successfully built numerous training systems with a primary focus on aircrew and maintenance training systems. Our current programs include, but are not limited to, the B-1 Training Systems (Air Force), E-2D Training Systems (Navy), CH-53E Training Devices (USMC), IMOMS (Coast Guard), Navigation, Seamanship, Shiphandling Trainer - NSST (Navy). To learn more about ASI visit Programs- Aero Simulation, Inc. ASI is a 100% employee-owned engineering and manufacturing company committed to supporting the nation's warfighters. Being 100% employee-owned directly impacts our culture: it drives our decision-making, motivates our teams, increases our productivity, improves retention and contributes to the future success of our company. Our culture is one where we work hard for our clients and for each other - and we have fun collaborating, sharing experience and expertise, and learning along the way. We strive to deliver exceptional quality, elevate client relationships, and enrich the careers and lives of our employee-owners. As Employee-Owners, we are invested in the success and continued development of each other and the company. In addition to the Employee Stock Ownership Plan (ESOP), we offer a flexible work environment, generous paid time off, professional development opportunities, industry competitive compensation, and superior benefits to include medical, dental, 401k and more! ASI is a great place to build a career and grow with a company that is dedicated to quality, service and to fostering a community of support for each and every member of the team. To learn more about this opportunity, keep reading! POSITION SUMMARY The purpose of the Computer Systems Engineer position is to design, develop, integrate, test, and document software for the control of flight simulation systems. ESSENTIAL DUTIES AND RESPONSIBILITIES Design, develop, integrate, test, and document software for the control of flight simulation software and computer systems. Utilize languages such as C/C++ and shell scripting in Linux or Windows based environments to develop new and/or modify existing software and applications! Read, write, and maintain new and existing software. Follow established company and industry processes and procedures. Select appropriate computer equipment to meet system requirements. Recommend, incorporate, and/or alter new and existing simulator designs and documentation. Physically and logically debug training systems and configure computer systems to meet system requirements. Work with project teams and engineers of varying disciplines to successfully deliver new or modified functionalities. Assist the Systems Engineering team in the integration of software and hardware. Communicate all ongoing activities and results to business sponsors, stakeholders, and management in a positive manner. Provide training, mentorship and guidance to junior team members. SUPERVISORY RESPONSIBILITIES This job has no supervisory responsibilities. Requirements: EXPERIENCE REQUIREMENTS ENTRY - 0 to 3 Years MID - 3 to 7 Years SEN - 7+ Years Strong computer systems background. Experience developing code on Linux and Windows systems. Proficiency with C, C++, or C#. Proficiency in a scripting environment such as Python, Bash, or PowerShell Competency in a version control system such as Git or SVN. Strong technical understanding with at least one area of specialization expected. Strong analytical math skills. Proficiency in common business software (Microsoft Office - Word, Outlook, Power Point, Excel, SharePoint). ADDITIONAL REQUIRED SKILLS AND ABILITIES Ability to design, code, and test software pertaining to flight simulation. Ability to develop and maintain positive working relationships with internal and external customers. Ability to adapt communication style and messaging to different audiences. Ability to manage multiple priorities and projects simultaneously, ensuring stakeholder expectations are managed appropriately. Ability to work in a project-oriented, fast paced environment to meet deadlines. Ability to work in a team environment, or independently, as necessary, and be a self-starter who will attack designs and resolve problems effectively and efficiently. Ability to work with project teams to successfully deliver new or modified functionalities. Understanding of configuration management systems, hardware interfaces and large-scale software development. Keen attention to detail to deliver solutions that meet business requirements and are operationally supportable. EDUCATION REQUIREMENTS Bachelor of Science in Computer Engineering, Software Engineering, Computer Science, Electrical Engineering with a Software Focus or related field EMPLOYMENT REQUIREMENTS U.S. Citizenship Required: As a federal contractor supporting the U.S. warfighter, it is required that all employees in this role be United States citizens in compliance with government contract and security requirements. Background Check: Must be able to successfully pass an initial background screening. Security Clearance: Must be able to obtain and maintain an active Department of Defense (DoD) security clearance. The selected candidate will be subject to a government security investigation and must meet eligibility requirements for access to classified information, as required by the position. Work Schedule Flexibility: Occasional overtime and alternate shifts may be required to meet customer schedules, critical deadlines, or program milestones. Travel Requirements: Must be able and willing to travel domestically and, on occasion, internationally to customer sites, partner locations, or project meetings in support of contract objectives. Drug-Free Workplace: ASI maintains a Drug-Free Workplace. Applicants and employees are subject to pre-employment and random drug testing in accordance with company policy. Employment Contingency: All employment offers are contingent upon the successful completion of all background checks, security clearance requirements, and drug-screening results. PHYSICAL REQUIREMENTS Candidate must be able to work in small, confined spaces (simulator cockpits) Typically, employees sit comfortably to do their work, interspersed by brief periods of standing, walking, bending carrying papers and books, and extensive periods requiring the use of computer terminals to accomplish work objectives. Additional skills may be required to perform additional task(s) specific to work location, department or line of business. Must be able to travel via car and airplane. Must be able to climb stairs to enter and exit a simulator. WORK ENVIRONMENT Work is primarily performed in an office environment consisting of offices and cubicles with low to moderate noise and bright or dim lighting. The work is fast-paced and sometimes involves extreme deadline pressures. The nature of the work requires a high degree of teamwork and cooperation with other members of the staff as well as external customers. Note: This job description is not intended to be an exhaustive list of all duties, responsibilities, or qualifications that are required of the employee for the job. Duties, responsibilities, and activities may change at any time with or without notice. The following policies apply to all areas of employment, including recruitment, hiring, training and development, promotion, transfer, termination, layoff, compensation benefits, social and recreational programs, and all other conditions and privileges of employment in accordance with applicable federal, state, and local laws. Candidate Reasonable Accommodation Candidates requiring a reasonable accommodation, as defined by the Americans with Disabilities Act, must notify Aero Simulation, Inc. by e-mail at or by calling directly at . ADA Policy It is the policy of ASI to comply with all the relevant and applicable provisions of the Americans with Disabilities Act (ADA) and its Amendments. ASI will not discriminate against any qualified employee or job applicant with respect to any terms, privileges, or conditions of employment because of a person's physical or mental disability. ASI also will make reasonable accommodation wherever necessary for all employees or applicants with handicaps, disabilities, provided that the individual is otherwise qualified to safely perform the duties and assignments connected with the job and provided that any accommodations made are not an undue hardship for ASI. Equal Employment Opportunity ASI is proud to be an Equal Employment Opportunity and Affirmative Action employer dedicated to attracting, retaining, and developing a diverse and inclusive workforce. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, domestic/civil partnership or marital status, national origin, disability, status as a protected veteran or any other characteristic protected by law. We strive for everyone to be valued . click apply for full job details