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AI Engineer 4 (AI Foundations, LLM Core and Agentic AI)\n \n \n 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. \n \n Team Description: \n 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. \n \n What You’ll Do: \n\n • \n 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. \n • \n 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. \n • \n Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. \n • \n 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. \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. \n • \n Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment \n • \n Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift \n • \n Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines \n • \n Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met \n • \n Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation \n\n \n The Ideal Candidate: \n\n • \n 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 \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production \n • \n 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 \n • \n 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 \n • \n You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown \n\n \n Basic Qualifications: \n\n • \n 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 \n • \n At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java \n\n \n Preferred Qualifications: \n\n • \n Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy \n • \n 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience designing, developing, delivering, and supporting AI services \n • \n 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 \n • \n Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost \n • \n Experience in building agentic AI systems and agentic workflows \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n • \n Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale \n • \n Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules \n • \n Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n 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. \n Cambridge, MA: $197,300 - $225,100 for AI Engineer 4\n \n McLean, VA: $197,300 - $225,100 for AI Engineer 4\n \n New York, NY: $215,200 - $245,600 for AI Engineer 4\n \n San Jose, CA: $215,200 - $245,600 for AI Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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 4901-4920; 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.\n \n \n 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 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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 4 (MLX, Agentic AI, Gen AI platform Services)\n \n \n 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. \n \n Team Description: \n 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. \n \n What You’ll Do: \n\n • \n 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. \n • \n 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. \n • \n Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. \n • \n 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. \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. \n • \n Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment \n • \n Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift \n • \n Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines \n • \n Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met \n • \n Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation \n\n \n The Ideal Candidate: \n\n • \n 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 \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production \n • \n 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 \n • \n 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 \n • \n You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown \n\n \n Basic Qualifications: \n\n • \n 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 \n • \n At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java \n\n \n Preferred Qualifications: \n\n • \n Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy \n • \n 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience designing, developing, delivering, and supporting AI services \n • \n 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 \n • \n Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost \n • \n Experience in building agentic AI systems and agentic workflows \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n • \n Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale \n • \n Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules \n • \n Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n 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. \n Cambridge, MA: $197,300 - $225,100 for AI Engineer 4\n \n McLean, VA: $197,300 - $225,100 for AI Engineer 4\n \n New York, NY: $215,200 - $245,600 for AI Engineer 4\n \n San Francisco, CA: $215,200 - $245,600 for AI Engineer 4\n \n San Jose, CA: $215,200 - $245,600 for AI Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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 4901-4920; 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.\n \n \n 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 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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 4 (Gen AI Platform Services)\n \n \n 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. \n \n Team Description: \n 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. \n \n What You’ll Do: \n\n • 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.\n, • 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.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • 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.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment\n, • Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift\n, • Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines\n, • Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met\n, • Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation\n\n \n The Ideal Candidate: \n\n • 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\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • 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\n, • 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\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n Basic Qualifications: \n\n • 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\n, • At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience designing, developing, delivering, and supporting AI services\n, • 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\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale\n, • Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules\n, • Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n 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. \n Cambridge, MA: $197,300 - $225,100 for AI Engineer 4\n \n McLean, VA: $197,300 - $225,100 for AI Engineer 4\n \n New York, NY: $215,200 - $245,600 for AI Engineer 4\n \n San Jose, CA: $215,200 - $245,600 for AI Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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 4901-4920; 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.\n \n \n 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 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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 (AI Foundations: LLM Customization, Finetuning, Reinforcement Learning)\n \n \n 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. \n \n Team Description: \n 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. \n \n What You’ll Do: \n\n • \n 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. \n • \n 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. \n • \n Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. \n • \n 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. \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. \n • \n Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems \n • \n Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency \n • \n Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards \n • \n Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity \n\n \n The Ideal Candidate: \n\n • \n 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 \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production \n • \n 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 \n • \n 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 \n • \n You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown \n\n \n Basic Qualifications: \n\n • \n 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 \n • \n At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java \n\n \n Preferred Qualifications: \n\n • \n Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy \n • \n 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience designing, developing, delivering, and supporting complex AI systems \n • \n 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 \n • \n Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost \n • \n Experience in building agentic AI systems and agentic workflows \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n • \n Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers \n • \n Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines \n • \n Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes \n • \n Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression \n • \n Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n 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. \n Cambridge, MA: $229,900 - $262,400 for AI Engineer 5\n \n McLean, VA: $229,900 - $262,400 for AI Engineer 5\n \n New York, NY: $250,800 - $286,200 for AI Engineer 5\n \n San Francisco, CA: $250,800 - $286,200 for AI Engineer 5\n \n San Jose, CA: $250,800 - $286,200 for AI Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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 4901-4920; 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.\n \n \n 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 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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 (MLX, Agentic AI, Gen AI platform Services)\n \n \n 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. \n \n Team Description: \n \n 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. \n \n \n What You’ll Do: \n \n\n • 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.\n, • 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.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • 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.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems\n, • Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency\n, • Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards\n, • Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity\n\n \n The Ideal Candidate: \n \n\n • 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\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • 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\n, • 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\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n \n Basic Qualifications: \n \n \n\n • 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\n, • At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n \n \n Preferred Qualifications: \n \n \n\n • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 7+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience designing, developing, delivering, and supporting complex AI systems\n, • 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\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers\n, • Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines\n, • Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes\n, • Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression\n, • Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs)\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n 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. \n McLean, VA: $229,900 - $262,400 for AI Engineer 5\n \n Cambridge, MA: $229,900 - $262,400 for AI Engineer 5\n \n New York, NY: $250,800 - $286,200 for AI Engineer 5\n \n San Francisco, CA: $250,800 - $286,200 for AI Engineer 5\n \n San Jose, CA: $250,800 - $286,200 for AI Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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 4901-4920; 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.\n \n \n 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 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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\n \n \n 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. \n \n Team Description: \n 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. \n \n What You’ll Do: \n\n • 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.\n, • 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.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • 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.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems\n, • Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency\n, • Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards\n, • Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity\n\n \n The Ideal Candidate: \n\n • 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\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • 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\n, • 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\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n Basic Qualifications: \n\n • 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\n, • At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 7+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience designing, developing, delivering, and supporting complex AI systems\n, • 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\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers\n, • Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines\n, • Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes\n, • Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression\n, • Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs)\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n 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. \n Cambridge, MA: $229,900 - $262,400 for AI Engineer 5\n \n New York, NY: $250,800 - $286,200 for AI Engineer 5\n \n San Jose, CA: $250,800 - $286,200 for AI Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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 4901-4920; 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.\n \n \n 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 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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 4\n \n \n 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. \n \n Team Description: \n 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. \n \n What You’ll Do: \n\n • \n 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. \n • \n 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. \n • \n Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. \n • \n 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. \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. \n • \n Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment \n • \n Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift \n • \n Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines \n • \n Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met \n • \n Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation \n\n \n The Ideal Candidate: \n\n • \n 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 \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production \n • \n 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 \n • \n 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 \n • \n You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown \n\n \n Basic Qualifications: \n\n • \n 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 \n • \n At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java \n\n \n Preferred Qualifications: \n\n • \n Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy \n • \n 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience designing, developing, delivering, and supporting AI services \n • \n 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 \n • \n Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost \n • \n Experience in building agentic AI systems and agentic workflows \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n • \n Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale \n • \n Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules \n • \n Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n 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. \n Cambridge, MA: $197,300 - $225,100 for AI Engineer 4\n \n McLean, VA: $197,300 - $225,100 for AI Engineer 4\n \n New York, NY: $215,200 - $245,600 for AI Engineer 4\n \n San Jose, CA: $215,200 - $245,600 for AI Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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 4901-4920; 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.\n \n \n 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 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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 4 (Vision model (VLM) customization experience)\n \n \n 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. \n \n Team Description: \n 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. \n \n What You’ll Do: \n\n • 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.\n, • 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.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • 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.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment\n, • Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift\n, • Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines\n, • Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met\n, • Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation\n\n \n The Ideal Candidate: \n\n • 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\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • 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\n, • 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\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n Basic Qualifications: \n\n • 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\n, • At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience designing, developing, delivering, and supporting AI services\n, • 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\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale\n, • Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules\n, • Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n 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. \n Cambridge, MA: $197,300 - $225,100 for AI Engineer 4\n \n McLean, VA: $197,300 - $225,100 for AI Engineer 4\n \n New York, NY: $215,200 - $245,600 for AI Engineer 4\n \n San Jose, CA: $215,200 - $245,600 for AI Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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 4901-4920; 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.\n \n \n 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 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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 (FM Hosting, LLM Inference)\n \n \n 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. \n \n Team Description: \n 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. \n \n What You’ll Do: \n\n • 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.\n, • 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.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • 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.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems\n, • Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency\n, • Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards\n, • Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity\n\n \n The Ideal Candidate: \n\n • 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\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • 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\n, • 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\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n Basic Qualifications: \n\n • 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\n, • At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience designing, developing, delivering, and supporting complex AI systems\n, • 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\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers\n, • Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines\n, • Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes\n, • Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression\n, • Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs)\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n 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. \n Cambridge, MA: $229,900 - $262,400 for AI Engineer 5\n \n McLean, VA: $229,900 - $262,400 for AI Engineer 5\n \n New York, NY: $250,800 - $286,200 for AI Engineer 5\n \n San Jose, CA: $250,800 - $286,200 for AI Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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 4901-4920; 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.\n \n \n 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 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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 ((AI Foundations, LLM Core and Agentic AI)\n \n \n Overview: \n 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. \n \n Team Description: \n 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. \n \n What You’ll Do: \n\n • 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.\n, • 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.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • 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.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems\n, • Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency\n, • Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards\n, • Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity\n\n \n The Ideal Candidate: \n\n • 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\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • 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\n, • 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\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n Basic Qualifications: \n\n • 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\n, • At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience designing, developing, delivering, and supporting complex AI systems\n, • 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\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers\n, • Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines\n, • Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes\n, • Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression\n, • Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs)\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n 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. \n Cambridge, MA: $229,900 - $262,400 for AI Engineer 5\n \n McLean, VA: $229,900 - $262,400 for AI Engineer 5\n \n New York, NY: $250,800 - $286,200 for AI Engineer 5\n \n San Francisco, CA: $250,800 - $286,200 for AI Engineer 5\n \n San Jose, CA: $250,800 - $286,200 for AI Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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 4901-4920; 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.\n \n \n 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 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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 Title: Manufacturing Technician Location: Hoboken, NJ Division: Operations Department: Manufacturing About Us: Quantum Computing Inc. (QCi) (Nasdaq: QUBT) is an innovative, integrated photonics company that provides accessible and affordable quantum machines to the world today. QCi products are designed to operate at room temperature and low power at an affordable cost. The Company’s portfolio of core technology and products offer unique capabilities in the areas of high-performance computing, artificial intelligence, cyber security as well as remote sensing applications. Scope of the Job: QCi is seeking a dedicated and passionate Assembly, Test, and Quality Control Engineer to join our team. In this vital role, you will assemble cutting-edge products, conduct thorough testing to ensure they exceed quality standards and specifications, and play a key role in our quality control processes. Collaborating with cross-functional teams of electrical, FPGA, optical, mechanical, embedded, and software engineers, you will enhance product performance, troubleshoot challenges, and drive continuous improvement initiatives in our products. Duties / Responsibilities: • Assemble electronic, optical, and mechanical components that are part of our quantum machines with precision and care, adhering to specifications and engineering drawings., • Perform functional testing and troubleshooting on assembled products to ensure proper operation., • Document test results and assembly processes accurately following company standards., • Identify and diagnose issues in prototypes or production units and implement corrective actions., • Collaborate with engineers and other team members to improve assembly processes and product performance., • Maintain and organize tools and equipment to ensure a safe and clean work environment., • Adhere to all safety and quality standards to uphold product integrity. Required Skills & Experience: • Associate degree in Electronics, Mechanics, or a related field., • Prior experience in a testing or assembly role, preferably in an electronics or manufacturing environment., • Proficiency in using test equipment and tools, including experience with lab instruments such as DMMs, oscilloscopes, logic analyzers, and spectrum analyzers., • Dexterity in the use of hand tools, electronics soldering, and board reworking., • Ability to read and interpret schematics, blueprints, and technical documentation., • Able to lift weights to OSHA limit (50 lbs.) when required (occasionally)., • Manual dexterity to perform intricate assembly and testing tasks., • Capacity to stand or sit for extended periods while performing job duties., • Excellent problem-solving skills, open-minded, and a keen attention to detail., • Ability to work collaboratively in a supportive, team-oriented environment., • Experience with automated testing equipment and techniques. Quantum Computing Inc. (QCi) is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. Incumbent(s) in this position may be required to perform other duties and special assignments not specifically stated above. Statements outlined in this section are designated as essential job functions in accordance with the Americans with Disabilities Act of 1990.

AI Engineer 5 (Gen AI SDK: Agentic AI, Guardrails, Evaluation)\n \n \n 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. \n \n Team Description: \n 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. \n \n What You’ll Do: \n\n • 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.\n, • 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.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • 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.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems\n, • Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency\n, • Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards\n, • Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity\n\n \n The Ideal Candidate: \n\n • 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\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • 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\n, • 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\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n Basic Qualifications: \n\n • 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\n, • At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 7+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience designing, developing, delivering, and supporting complex AI systems\n, • 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\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers\n, • Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines\n, • Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes\n, • Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression\n, • Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs)\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n 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. \n Cambridge, MA: $229,900 - $262,400 for AI Engineer 5\n \n McLean, VA: $229,900 - $262,400 for AI Engineer 5\n \n New York, NY: $250,800 - $286,200 for AI Engineer 5\n \n San Francisco, CA: $250,800 - $286,200 for AI Engineer 5\n \n San Jose, CA: $250,800 - $286,200 for AI Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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 4901-4920; 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.\n \n \n 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 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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 (AI Foundations, VLM Customization)\n \n \n 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. \n \n Team Description: \n 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. \n \n What You’ll Do: \n\n • \n 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. \n • \n 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. \n • \n Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. \n • \n 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. \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. \n • \n Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems \n • \n Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency \n • \n Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards \n • \n Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity \n\n \n The Ideal Candidate: \n\n • \n 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 \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production \n • \n 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 \n • \n 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 \n • \n You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown \n\n \n Basic Qualifications: \n\n • \n 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 \n • \n At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java \n\n \n Preferred Qualifications: \n\n • \n Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy \n • \n 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience designing, developing, delivering, and supporting complex AI systems \n • \n 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 \n • \n Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost \n • \n Experience in building agentic AI systems and agentic workflows \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n • \n Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers \n • \n Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines \n • \n Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes \n • \n Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression \n • \n Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n 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. \n Cambridge, MA: $229,900 - $262,400 for AI Engineer 5\n \n McLean, VA: $229,900 - $262,400 for AI Engineer 5\n \n New York, NY: $250,800 - $286,200 for AI Engineer 5\n \n San Jose, CA: $250,800 - $286,200 for AI Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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 4901-4920; 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.\n \n \n 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 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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).

Location: Middletown/Holmdel, New Jersey Employment Type: Full-time Work Arrangement: on-site laboratory work Role Overview Aloe Semiconductor is a photonics startup developing next-generation optical interconnect technology. We are seeking a hands-on Silicon Photonics Test Engineer to develop and execute wafer-level and die-level testing of photonic integrated circuits (PICs). You will work closely with photonic design, packaging, and senior test engineers to build automated test capabilities, characterize foundry samples, identify performance issues, and generate reliable data for internal development and customer evaluation. Key Responsibilities • Perform wafer-level and die-level optical and electrical characterization of silicon photonic devices and PICs., • Measure key parameters such as insertion loss, coupling loss, wavelength response, extinction ratio, responsivity, DC/IV characteristics, PAM4 eye quality, BER, bandwidth, and RF S-parameters., • Set up and operate tunable lasers, optical spectrum analyzers, power meters, high-speed oscilloscopes, BERTs, VNAs, probe stations, and automated fiber-alignment systems., • Develop and maintain Python-based test automation for instrument control, fiber alignment, data acquisition, and high-throughput testing., • Create repeatable test procedures for engineering characterization, design verification, and production screening., • Analyze measurement data to identify device variation, failure mechanisms, performance trends, and correlations across wafers and dies., • Generate Known Good Die (KGD) reports, wafer maps, yield summaries, and customer-facing performance reports., • Troubleshoot optical, electrical, mechanical, and software issues affecting test accuracy and repeatability., • Coordinate with foundry, packaging, dicing, and external test partners for sample preparation and testing., • Maintain organized sample tracking, test records, calibrated equipment, and laboratory documentation., • Help establish scalable test infrastructure and best practices as the company grows. Qualifications • B.S. or M.S. in Electrical Engineering, Optical Engineering, Photonics, Physics, or a related field., • Practical experience with optical laboratory equipment, such as tunable lasers, OSAs, power meters, high-speed oscilloscopes, BERTs, and automated alignment stages., • Experience using Python for test automation and data analysis, including libraries such as NumPy, Pandas, Matplotlib, and PyVISA., • Ability to analyze experimental data, troubleshoot complex test setups, and communicate results clearly., • Strong attention to measurement accuracy, repeatability, calibration, and documentation. Preferred Qualifications • Experience with silicon photonics, wafer probing, edge or grating-coupler alignment, and die-level characterization., • One or more years of hands-on experience testing photonic, optical, semiconductor, or high-speed electronic devices., • Experience with high-speed optical links, PAM4, coherent optics, or data-center interconnect technology., • Familiarity with RF probing, VNAs, S-parameters, electro-optic bandwidth measurements, and high-speed signal integrity., • Experience developing wafer maps, yield analyses, KGD criteria, or automated production-test workflows., • Familiarity with MATLAB, Python, SQL, Git, or laboratory data-management systems., • Experience working with foundries, packaging vendors, or external test laboratories. Startup Mindset • The ideal candidate is comfortable working in a fast-moving startup where priorities can evolve quickly. You should be proactive, resourceful, and willing to take ownership—from assembling a test setup and debugging automation code to analyzing results and presenting conclusions

Job Title: QA Automation Engineer Location: Berkeley Heights, NJ Job Summary: We are seeking a skilled QA Automation Engineer with strong experience in Playwright to design, develop, and maintain scalable automated test frameworks for web applications. The ideal candidate should have expertise in test automation, API testing, CI/CD integration, and modern software testing methodologies. Key Responsibilities • Design, develop, and execute automated test scripts using Playwright., • Build and maintain reusable automation frameworks for web applications., • Collaborate with developers, product owners, and QA team members to understand requirements and define test strategies., • Perform functional, regression, integration, and end-to-end testing., • Automate API testing using tools such as Playwright, Postman, or REST Assured., • Integrate automated test suites into CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins, etc.)., • Analyze test results, identify defects, and work with development teams to resolve issues., • Create and maintain test documentation, test cases, and automation reports., • Participate in Agile ceremonies including sprint planning, grooming, and retrospectives., • Ensure software quality standards and best practices are followed. Required Skills • 8+ years of experience in QA Automation Testing., • Strong hands-on experience with Playwright using TypeScript/JavaScript., • Experience in UI automation testing for web applications., • Knowledge of API testing and validation., • Understanding of SDLC, STLC, and Agile methodologies., • Experience with version control tools such as Git., • Familiarity with CI/CD tools (Jenkins, Azure DevOps, GitHub Actions)., • Strong debugging, troubleshooting, and analytical skills., • Experience working with defect tracking tools such as Jira. Preferred Skills • Experience with Playwright Test Runner., • Knowledge of Docker and containerized testing environments., • Performance testing exposure using JMeter or similar tools., • Experience with cloud platforms (Azure, AWS, GCP)., • Understanding of database testing and SQL queries.

Job title: Junior AI Security Engineer Location: Irving Place, NY Rate: $50/hour on W2 Type: Contract Must: In-person interview This is an excellent opportunity for an early-career technical professional interested in applying AI, machine learning, Python, and automation to real-world cybersecurity challenges, including threat detection, security log analysis, anomaly detection, and operational efficiency. Working alongside senior engineers and an Enterprise Architect, you will help develop, test, optimize, and support AI-powered security tools while gaining valuable experience with enterprise security technologies and modern engineering practices. Key Responsibilities AI/ML Development & Security Analytics • Assist in developing, testing, tuning, and monitoring AI/ML models supporting cybersecurity threat detection and anomaly identification., • Analyze security logs, alerts, and telemetry to identify suspicious activity, unusual patterns, and potential security threats., • Prepare, clean, organize, and label security datasets for machine learning model training and evaluation., • Support model performance monitoring, testing, and continuous improvement. Python Development & Security Automation • Develop and maintain Python scripts to automate security-related tasks and workflows., • Assist in integrating AI/ML capabilities into existing cybersecurity tools and security operations pipelines., • Support automation initiatives that improve security monitoring, threat analysis, and operational efficiency., • Troubleshoot scripts, data-processing workflows, and integrations with guidance from senior engineers. Required Qualifications • Bachelor's degree in Computer Science, Cybersecurity, Data Science, Information Technology, or a related discipline, or equivalent practical experience., • Working knowledge of Python programming, including scripting and basic automation., • Foundational understanding of software development, data processing, or technical problem-solving., • Strong interest in artificial intelligence, machine learning, cybersecurity, and security automation., • Ability to analyze technical information, troubleshoot problems, and learn new technologies., • Strong attention to detail, documentation skills, and analytical thinking., • Excellent communication and collaboration skills., • Willingness to learn from senior technical professionals and contribute to enterprise engineering initiatives. Preferred Qualifications • Familiarity with machine learning libraries such as scikit-learn, PyTorch, or TensorFlow., • Basic understanding of cybersecurity concepts, including networking, logging, common threats, and security monitoring., • Exposure to SIEM or SOAR platforms and security operations workflows., • Familiarity with cloud environments such as Microsoft Azure, AWS, or Google Cloud Platform., • Experience working with log data, telemetry, security alerts, or anomaly-detection techniques., • Academic projects, internships, or personal projects involving Python, AI/ML, cybersecurity, or automation., • Relevant certifications such as CompTIA Security+, Microsoft Azure Fundamentals (AZ-900), or comparable credentials.

The ideal candidate will be a hands-on engineer who can design, develop, test, integrate, deploy, and support complex enterprise applications. This person should be comfortable working across API development, front-end development, databases, messaging, serverless computing, data platforms, and system integrations. Job Duties: · Design, develop, test, and maintain high-quality .NET / C# REST APIs. · Develop modern, scalable front-end applications using Angular and TypeScript. · Design and implement complex SQL queries, stored procedures, views, functions, and database solutions. · Analyze and optimize SQL queries and database performance. · Build integrations between internal applications, third-party systems, databases, and cloud services. · Develop event-driven integrations using Azure Service Bus, including queues, topics, subscriptions, and message processing. · Develop and maintain Azure Functions for APIs, background processing, scheduled jobs, and integrations. · Work with Azure Databricks and Databricks notebooks for data processing, transformation, and integration. · Develop data pipelines and integrations between applications, databases, APIs, and data platforms. · Work with both synchronous and asynchronous integration patterns. · Integrate with REST APIs, SOAP services, databases, files, messaging systems, and third-party applications. · Develop robust error handling, retry mechanisms, logging, monitoring, and alerting for integrations. · Write comprehensive unit, integration, API, and data-level tests. · Troubleshoot application, API, database, messaging, and integration issues. · Participate in code reviews and maintain high standards for code quality and security. · Work with Azure DevOps and CI/CD pipelines for automated build, testing, and deployment. · Collaborate with architects, developers, QA engineers, data engineers, and business stakeholders. · Support applications in development, test, and production environments. · Identify opportunities to improve performance, scalability, reliability, and maintainability.

This is an early, high-ownership builder role at a Series A robotics startup building a platform that automates how physical, real-world hardware systems get developed and tested. Rather than another software layer bolted onto existing tools, the platform handles the full development loop end to end, from simulation to test generation to AI-proposed fixes, spanning software, firmware, and hardware. It's a novel infrastructure-and-agents problem. Founders: a tight-knit team of classmates from a top computer science program, several with backgrounds at places like Tesla Autopilot and DeepMind, who've already built and sold one company together and are now tackling a much bigger problem in physical AI. This is an in person role, 5 days a week, out of their New York City office. Responsibilities • Build and run the cloud infrastructure behind the platform's simulations: orchestration, GPU pools, storage, observability., • Ship the web app customers use to author, run, and review simulations., • Build the SDKs, CLIs, and internal tools that keep engineers and customers moving fast., • Build the agentic harness (APIs, MCP servers, evals) that lets coding agents run simulation work end to end., • Drive performance, reliability, and cost as usage scales., • Work directly with customers to integrate the platform into their pipelines. Desired Qualifications • Generalist engineer who's run production cloud systems (GCP/AWS/Azure, Kubernetes)., • Strong Python; Rust or C++ a plus., • History shipping dev-facing tools, SDKs, APIs, CLIs, that other engineers rely on., • Sharp instincts for reliability, performance, and distributed systems., • Uses coding agents as a multiplier on top of real engineering chops, • Has shipped real production systems. ---------------- Greylock Talent: I am a full-time, salaried employee of Greylock, and there are no fees associated with any of the work I do. My team provides free candidate referrals/introductions to all of our active investments (one of the many services we provide), and I'm always looking to add new people to our network of talent.

Senior Data Engineer — Contract Location: Hybrid — 3 days/week onsite in Newark, NJ About the Role Join a major investment firm as a Senior AWS Data Engineer supporting enterprise data platform initiatives. This role focuses on building scalable data pipelines, CI/CD automation, and end-to-end data solutions across the AWS ecosystem. Experience with Informatica (data catalogue, marketplace, data lineage, data quality), Denodo, and/or Ataccama is a strong plus. Qualifications • Bachelor's degree in Computer Science, Software Engineering, MIS, or equivalent combination of education and experience, • 8+ years of experience as a Data Engineer on the AWS stack, including DevOps tooling, • AWS Solutions Architect or AWS Developer Certification required, • Strong hands-on experience with AWS services, including:, • CloudFormation, S3, Athena, Glue, Glue DataBrew, EMR/Spark, • RDS, Redshift, DynamoDB, Lambda, Step Functions, • IAM, KMS, SM, EventBridge, EC2, SQS, SNS, • LakeFormation, CloudWatch, CloudTrail, DataSync, DMS, • Experience implementing high-velocity streaming solutions using Amazon Kinesis, AWS Managed Airflow, and AWS Managed Kafka (preferred), • Proven experience building AWS data lake/data warehouse solutions, • Skilled in designing, developing, and implementing data ingestion pipelines on AWS, • Knowledge of ETL/ELT implementation for data solutions, • Experience delivering end-to-end data solutions: ingest, storage, integration, processing, and access, • Familiarity implementing RBAC strategies using AWS IAM and Redshift RBAC model, • Experience building and implementing CI/CD pipelines using CloudFormation and Jenkins, • Strong programming skills in Python, Shell scripting, and SQL, • Experience with SQL stored procedures for data analysis, • Experience building automated pipelines to ingest data from relational databases, file systems, and NAS shares into AWS RDS, Aurora, and Redshift, • Experience building automated pipelines to ingest data from REST APIs into AWS S3 and relational databases, • Solid DevOps background, including:, • Bitbucket (source code management), • Python, Shell, Groovy scripting, • API deployment for tooling integration, • Jenkins and CloudBees (Pipeline as Code, Shared Libraries), • SonarQube, Artifactory, and similar DevOps tools, • Maven, MS Build, Gradle, • Docker, • Jira and Confluence, • Infrastructure as Code via CloudFormation, • Experience creating Jenkins CI pipelines integrating Sonar/security scans and test automation, • Ability to accurately document exceptions, issues, action plans, meeting minutes, and lessons learned Responsibilities • Design, build, and maintain efficient, reusable, and reliable code, • Ensure optimal performance and quality of high-scale data applications and services, • Participate in system design discussions, • Independently perform hands-on development and unit testing, • Collaborate with the development team to integrate components into the enterprise data platform, • Work cross-functionally with product, QE/QA, and other teams throughout the full software development lifecycle, • Identify and resolve performance issues, • Stay current with emerging technologies and implementation practices, • Participate in code reviews to ensure standards and best practices are met, • Take ownership of estimating, planning, and managing tasks in an Agile environment, • Take shared responsibility for software quality rather than relying on separate QA teams, • Collaborate closely with all team members toward shared goals, • Engage with users as needed to clarify requirements

Job Summary We are seeking an Agentic AI Engineer with hands-on experience in building AI agents, LLM-powered applications, and intelligent workflow automation solutions using platforms such as AWS Bedrock, Azure AI Foundry, or GCP Vertex AI. The ideal candidate should have 1–2 years of practical experience in Agentic AI and a strong foundation of at least 5 years in backend development or data engineering. This role will focus on designing, developing, and integrating agent-based systems that can reason, plan, retrieve information, use tools, communicate with other agents, and automate complex business workflows. The candidate will work closely with architects, product teams, data engineers, and application developers to deliver scalable, secure, interoperable, and production-ready AI solutions Roles and Responsibilities • Build and support production-grade Agentic AI solutions using cloud-native AI platforms such as AWS Bedrock, Azure AI Foundry, or GCP Vertex AI., • Design intelligent agents capable of tool use, workflow orchestration, retrieval-augmented generation, reasoning, task automation, memory management, and multi-agent collaboration., • Apply strong backend development or data engineering experience to create scalable APIs, data pipelines, integrations, agent tools, and AI-enabled applications., • Enable secure and interoperable agent ecosystems using standards and protocols such as MCP and A2A for tool connectivity, context access, and agent-to-agent communication., • Design, develop, and maintain Agentic AI applications using AWS Bedrock, Azure AI Foundry, or GCP Vertex AI., • Build AI agents that can perform planning, reasoning, tool calling, memory management, workflow automation, and multi-step task execution., • Implement integrations using Model Context Protocol — MCP to enable agents and LLM applications to securely connect with external tools, APIs, enterprise systems, databases, and data sources., • Work with Agent2Agent — A2A patterns or protocols to support agent discovery, agent-to-agent communication, task delegation, and multi-agent collaboration., • Develop backend services, APIs, connectors, and integrations to enable AI agents to interact with enterprise applications, databases, documents, and external systems., • Implement Retrieval-Augmented Generation solutions using vector databases, embeddings, document processing, semantic search, and knowledge retrieval patterns. GraphRAG experience is a plus., • Work with LLM frameworks and orchestration tools such as LangChain, LangGraph, Semantic Kernel, LlamaIndex, AutoGen, CrewAI, Strands or equivalent technologies., • Evaluate, test, and improve agent performance, including prompt quality, response accuracy, latency, reliability, guardrails, security, and cost efficiency., • Debug and resolve issues related to agent behavior, API integrations, tool execution, MCP servers or clients, A2A communication flows, data retrieval, workflow failures, model responses, and production deployments., • Collaborate with architects, product owners, backend developers, data engineers, and DevOps teams while following best practices for testing, CI/CD, monitoring, documentation, and secure deployment

Summary of Responsibilities The Gateway Development Commission (GDC) is seeking a highly qualified Quality Assurance Officer. Working with the GDC partners and support staff, the Quality Assurance Officer is responsible for the management and enforcement of the overall construction quality standards for the Hudson Tunnel Project (HTP) as required by the contract documents, quality control and quality assurance plans, and industry standards. The position holder will provide senior-level leadership and owner oversight of all programmatic quality functions, including Quality Assurance (QA), Quality Control (QC), Special Inspections, Owner Verification Oversight (OVO), inspection and testing, non-conformance management, quality documentation and records, material traceability, and related quality requirements. The position is responsible for ensuring that these functions operate as an integrated quality management system and that GDC effectively exercises its contractual, regulatory, and oversight responsibilities. Essential Functions • Lead the GDC Programmatic Quality Management program and develop, implement, and maintain the Program Quality Management Plan and support policies, procedures, organizational structure, and performance standards necessary to ensure consistent quality management across all Hudson Tunnel Project contract packages., • Ensure compliance with applicable federal, Federal Transit Administration (FTA), regulatory, contractual, and program requirements governing QA, QC, Special Inspections, testing, inspection, documentation, certification, materials, and quality management., • Exercise GDC's owner quality authority and enforce the contractual quality responsibilities of all Supporting or Executing Partners (including NJ TRANSIT, Port Authority of New York and New Jersey (PANYNJ), and Amtrak), contractors, consultants, and other responsible parties, ensuring that each party fulfills its assigned QA, QC, Special Inspection, testing, documentation, and other quality obligations and that deficiencies are identified, corrected, verified, and formally closed., • Provide independent OVO for applicable delivery models, including Design-Build, through risk-based audits, inspections, testing, sampling, verification of contractor records, and other appropriate oversight activities., • Oversee the integration of QA, QC, Special Inspections, testing, and other quality functions, ensuring that each performs its intended contractual and regulatory role and that no individual function is improperly relied upon as a substitute for another., • Oversee quality management throughout the design and construction lifecycle, including design quality requirements, design-related quality risks, design changes and modifications, and constructability interfaces, and verify that design requirements are appropriately translated into construction and QC processes., • Establish and enforce the program's Non-Conformance and Corrective Action processes, including timely Non-Conformance Reports (NCR) issuance, root-cause analysis, corrective action review, escalation, verification, and closure., • Ensure effective field quality oversight through appropriately staffed and qualified QA personnel, inspectors, auditors, testing resources, and other quality professionals., • Establish and maintain the appropriate quality organization, staffing levels, qualifications, and third-party resources needed to support program requirements., • Establish and manage a comprehensive punch-list process that ensures timely identification, assignment, tracking, resolution, verification, and closure of outstanding work and quality deficiencies in support of Beneficial Use, Substantial Completion, and Final Completion., • Maintain quality documentation and traceability, including inspection and test records, material certifications, Material Test Reports, Certificates of Compliance, submittals, NCR, and other records necessary to demonstrate compliance and support project handover and closeout., • Oversee quality requirements for suppliers, materials, and off-site fabrication, including auditing, testing, certification, and traceability., • Support Safety and Security Certification (SSC) requirements by ensuring required quality verification and documentation are completed and maintained., • Establish quality performance metrics and reports on quality performance, systemic deficiencies, emerging risks, unresolved issues, and required corrective actions., • Lead program-wide quality continuous improvement, identifying systemic issues and implementing corrective and preventive measures across contract packages rather than addressing deficiencies solely on an individual-project basis., • Ensure quality readiness for handover and closeout, including Beneficial Use, Substantial Completion, Final Completion, and other applicable milestones by maintaining continuous visibility of outstanding quality requirements and preventing deficiencies from accumulating until project closeout., • Escalate significant or unresolved quality deficiencies through GDC's established contractual and management processes and recommend or initiate appropriate enforcement measures, including corrective action, payment withholding, work restrictions, or other contractual remedies, as authorized., • Assist with all project closeout and permitting. Job Requirements • Bachelor’s degree in Engineering, Construction Management, Quality Management, or a related discipline., • Minimum of ten (10) years of progressively responsible experience in Quality Management, Quality Assurance/Quality Control, construction management, engineering, inspection, or a related field., • Minimum of seven (7) years in a Senior Quality Management or program leadership role., • Professional Engineer (PE), Certified Quality Auditor (CQA), Certified Manager of Quality/Organizational Excellence (CMQ/OE), or comparable professional certification is preferred., • Demonstrated experience leading programmatic Quality Management for major transportation, transit, heavy civil, tunneling, rail, or similarly complex infrastructure programs, preferably involving multiple concurrent contracts or delivery packages., • Demonstrated owner-side experience overseeing and enforcing the quality responsibilities of contractors, Design-Builders, executing partners, consultants, Special Inspectors, and other third parties is preferred., • Significant experience with Design-Build, Bid-Build and other project delivery methods, including OVO, independent verification, contractor quality management, and risk-based quality auditing is preferred., • Demonstrated experience delivering major transportation or infrastructure projects in the New York/New Jersey region is strongly preferred, including prior experience working with NJ TRANSIT, Amtrak, PANYNJ, or other regional transportation agencies., • Demonstrated knowledge and experience applying applicable FTA and federal requirements to major transportation infrastructure programs, including federal grant and funding requirements, materials and procurement requirements, quality documentation, inspection and testing, and other applicable federal compliance obligations., • Demonstrated experience managing and integrating QA, QC, Special Inspections, inspection and testing, non-conformance and corrective action programs, punch-list management, and quality documentation/closeout., • Demonstrated ability to interpret and enforce complex contract requirements, specifications, quality management plans, and regulatory requirements, and to hold contractors and delivery partners accountable for compliance., • Experience leading multidisciplinary quality organizations and coordinating effectively with executive leadership, construction and engineering teams, contractors, Design-Builders, executing partners, Engineer Of Records, inspectors, testing laboratories, and regulatory stakeholders., • Experience establishing quality programs, performance metrics, audit programs, corrective action processes, and systems capable of supporting construction, handover, Beneficial Use, Substantial Completion, and Final Completion. Compensation & Benefits • Competitive Salary, • Medical, Prescription, Dental, Vision Benefits subject to employee contributions, • Medical and Dependent Care Flexible Spending Accounts, • Life Insurance, • Commuter Benefits, • 401(a) Retirement Plan (6% of employee’s salary funded by GDC), • 457(b) Retirement Plan (Pre-Tax Salary Contributions Elected by Employees), • Earned Vacation (20 days per year) and Sick Time (12 days per year), • Paid holidays Project Background The Hudson Tunnel Project (HTP) is the most urgent passenger rail infrastructure project in America. It involves constructing nine miles of new passenger rail track, including a new two-track tunnel under the Hudson River connecting New Jersey to New York Penn Station, and the full rehabilitation of the existing 116-year-old North River Tunnel. The project will create operational flexibility and rail network redundancy to finally deliver reliable transportation to hundreds of thousands of daily commuters. The HTP is the cornerstone of the Gateway Program, a comprehensive rail investment program that will modernize rail travel and create new capacity for the most congested section of the Northeast Corridor. The Gateway Development Commission (GDC) is the bi-state public authority charged with delivering the HTP. GDC is governed by a seven-member Board appointed by Amtrak, New Jersey, and the New York State Department of Transportation. GDC works in partnership with Amtrak, NJ TRANSIT, and the Port Authority of New York and New Jersey. The Gateway Development Commission is proud to be an Equal Opportunity Employer and administers all personnel practices without regard to race, color, religion, sex, national origin, sexual orientation, disability, protected veteran status or military status, or any other category protected under applicable law. We encourage qualified people from all backgrounds to apply. To apply, please email your cover letter and resume to jobs@gatewayprogram.org with the job title “Quality Assurance Officer” in the subject line.

The Opportunity Crye is growing fast. We're looking for a Production Director who owns the outcome end to end: internal lines, subcontractors, raw materials and suppliers, domestic and international. This is a hands-on leadership role for someone who is fair yet relentless: who builds real relationships with mills and contractors, then holds them to their commitments on timing, quality and price. You'll make decisions based on the numbers, not anecdotes; build processes that endure; spot risks long before they become late orders; and put modern tools, including AI, to work every day. You’ll push our production capacity up, and our costs and leadtimes down. If you believe the people who wear our gear deserve on-time, top-notch product, you're likely a good candidate. Job Responsibilities • Owning on-time, right-first-time delivery across internal lines, subcontractors and international partners, along with capacity, yield, labor and cost, • Leading the full production organization (production management, planning, purchasing and raw materials) with clear roles, KPIs and accountability, • Running a disciplined capacity and production planning process in NetSuite: realistic ATP/ship dates, DPAS-rated order priority, early escalation, • Building and managing a global supplier and subcontractor base: sourcing at trade shows and mill visits, negotiating price, terms and lead times, • Holding suppliers accountable with scorecards, NCMRs, chargebacks and corrective action; enforcing specs, test reports and CoCs at the source, • Seeing risk early (single sources, long-lead fabrics, Berry/DFARS, tariffs, capacity crunches) and putting mitigation in place before it hits, • Partnering with Quality, Manufacturing Engineering and Product Development to launch new products into full-rate production, • Supporting our growing international operations: qualifying and managing foreign suppliers and partner factories for allied programs, • Replacing spreadsheets and email chains with systems, dashboards, automation and AI-enabled tools; driving continuous improvement, • Reporting weekly on OTD, WIP, capacity, supplier performance, inventory and cost vs. plan, never shying away from the bad news Required Experience & Qualifications • 10+ years of textile/apparel production or sourcing leadership; sewn products required, military/tactical or technical apparel strongly preferred, • Proven record negotiating with and managing domestic and overseas mills, trim suppliers and CMT subcontractors, with results to show, • Real technical depth in fabrics, construction, testing and specs: able to challenge a supplier's data, not just accept it, • Data-driven and process-oriented; advanced ERP (NetSuite preferred) and Excel/BI; builds the dashboards and SOPs rather than waiting for them, • Enthusiastic daily user of AI and automation tools; quick to adopt new technology, • Working knowledge of Berry Amendment, DPAS-rated orders, ISO 9001 and government contracting preferred, • Direct, candid communicator who surfaces problems early; travel ~10-15% (trade shows, suppliers, international), • Must be a U.S. citizen How to apply To be considered for the role, please email your cover letter and resume to mmiranda@cryeprecision.com with "Director of Production" in the subject line. The salary range for this position is between $200,000 - $250,000. The Company Crye Precision has been designing and manufacturing apparel and equipment for America's fighting forces, allied militaries, and domestic and international law enforcement for over 25 years. We work hard to provide smart, high-performance, long-wearing gear for people who demand the best. We design, engineer and manufacture our products here in the USA, with a team of more than 200 at our headquarters in the historic Brooklyn Navy Yard, and are expanding our footprint to serve our allies abroad. Equal Employment Opportunity Crye Precision LLC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, gender, gender identity or expression, sexual orientation, pregnancy, childbirth, or breastfeeding, sexual and reproductive health decisions, age, national origin, ancestry, citizenship or immigration status, marital, civil union, domestic partnership, or caregiver status, familial status, height, weight, unemployment status, credit history, military or uniformed service, liability for service in the Armed Forces, protected veteran status, disability, predisposing genetic characteristics or genetic information, atypical hereditary cellular or blood trait, status as a victim of domestic violence, stalking, or sex offenses, or any other characteristic protected by applicable federal, state, or local law. All qualified applicants will receive consideration for employment without regard to their protected veteran status, and will not be discriminated against on the basis of disability.

Founding Quant Research Platform Engineer Location: New York City — In Person Compensation: $150,000–$250,000 Base Salary + Equity Company Overview We are an early-stage quantitative investment firm building an AI-powered research system that transforms investment ideas into reliable implementations and actionable evidence—while learning from every experiment. Our New York-based team consists of researchers and engineers who are curious about how markets work, quick to test new ideas, and willing to challenge their own assumptions. We are building the next generation of systematic investment technology and are looking for an exceptional engineer to join our founding team. The Role You will build the quantitative research platform powering our AI-driven investment research system. The system implements and tests investment signals, while you will develop and own the infrastructure it depends on—including the backtesting engine, financial-data pipelines, evaluation tools, and the pathway from research to live trading. You will work directly with quantitative researchers and engineers to determine what the platform should do and deliver working systems without waiting for perfect specifications. Because the platform runs experiments continuously, the backtesting system must serve as a trusted referee: fast, accurate, reproducible, and extremely difficult to fool. As an early member of the team, you will have a meaningful impact on the company’s technology, product strategy, engineering standards, and culture. What You’ll Do • Partner with researchers and engineers to build the platform that transforms investment ideas into testable signals, including signal frameworks, reusable feature and model components, and experiment-tracking systems., • Build and own the backtesting engine and research APIs used by researchers, engineers, and AI agents., • Develop walk-forward simulations, realistic fill and transaction-cost models, portfolio-construction capabilities, and precisely reproducible results., • Build and operate data pipelines for large financial datasets., • Ingest and validate complex vendor feeds while maintaining accurate point-in-time data., • Properly account for corporate actions, delistings, and security identifiers across U.S. equities., • Make datasets easy to discover, understand, and use correctly., • Develop evaluation tools that determine whether an investment idea is statistically and economically valid., • Build signal diagnostics, risk-attribution tools, statistical tests, and automated controls that detect look-ahead bias, data leakage, and errors in AI-generated code., • Deploy research strategies and systems into production and take ownership of monitoring and ongoing performance., • Reconcile live trading results against backtested expectations in an environment where errors can have meaningful financial consequences., • Profile and optimize computationally intensive numerical workloads so the research cycle takes minutes rather than hours. What We’re Looking For • At least two years of experience building quantitative research or trading systems at a quantitative fund, proprietary trading firm, systematic investment team, or a comparable environment., • Expert-level Python skills and deep familiarity with numerical and data-processing libraries such as NumPy, pandas, Polars, and SciPy., • Strong software-engineering fundamentals, including testing, debugging, profiling, and building maintainable systems that others can extend., • Experience developing pipelines for large financial datasets, preferably involving U.S. equities, vendor feeds, point-in-time fundamentals, corporate actions, and security symbology., • Hands-on experience building or maintaining a backtesting platform., • Strong understanding of the systematic investment lifecycle, including signal generation, risk modeling, portfolio construction, execution, and transaction costs., • A solid foundation in statistics and a practical understanding of machine learning., • Experience partnering directly with quantitative researchers and engineers to build reliable research tools., • The ability to clarify loosely defined requests and transform them into systems that researchers can trust., • A bias toward action and the ability to deliver and iterate in an ambiguous, fast-moving environment., • Low ego, high standards, intellectual curiosity, and a strong sense of ownership. Compensation and Benefits • Base salary of $150,000–$250,000, • Meaningful equity participation, • Company-subsidized medical, dental, and vision insurance, • HSA, FSA, dependent-care FSA, and 401(k) plans, • Wellness, commuter, and professional-development subsidies The Opportunity This is an opportunity to join a well-funded, early-stage quantitative investment firm whose founding team brings deep experience across machine learning, quantitative finance, investment management, and hedge-fund technology. You will help build the core research and trading infrastructure behind an AI-native systematic investment platform—and directly influence how the firm develops from its earliest stage.

We are seeking a highly skilled, experienced, and strategic Technology Risk (LoD1) and Software Asset Management (SAM) Lead role in safeguarding the Natixis CIB Americas IT landscape and ensuring compliance with complex industry regulations. In this executive-level role, you will serve as the primary interface for the Line of Defense 1.1 Group (comprising the Groupe BPCE and Natixis CIB Head Office in Paris) and Line of Defense 2 (including the CISO, Operational Risk, and Compliance teams) regarding IT risk taxonomies, framework alignment, and risk remediation. You will be vital to ensuring the robust security and compliance of Natixis CIB Americas IT, managing high-value software assets effectively, and mitigating risks associated with information technology operations. The successful candidate will possess a deep understanding of IT risk frameworks, software licensing agreements, and industry best practices. You will lead the implementation of the Group IT Risk Management (ITRM) Framework, tailoring it to meet specific business and regional needs, while driving initiatives to assess, monitor, and enhance IT controls across the Americas platform. Key Responsibilities Strategy and Risk Governance • IT Risk Strategy: Strengthen and execute the IT risk management strategy in strict alignment with Head Office (Groupe BPCE and Natixis CIB), organizational goals, and evolving regulatory expectations., • Lead Software Asset Management: Oversee the Americas SAM program, including process optimization, governance frameworks, and strategic contribution to the associated corporate policies managed at LoD2., • Conduct Comprehensive Assessments: Participate in, and periodically lead, risk assessments, vulnerability assessments, and audits to identify potential IT risks, propose robust mitigation plans, and recommend appropriate controls., • Prioritize Systemic Risks: Oversee and assist in the identification, analysis, and prioritization of risks associated with critical IT systems, proprietary software applications, and third-party vendors. Process Optimization and Technical Execution • Establish Runbooks and Procedures: Develop, document, and maintain rigorous IT risk management procedures and associated operational runbooks in accordance with industry regulations and global bank standards., • Enforce SAM Lifecycle Management: Oversee the complete lifecycle of software assets from acquisition to retirement, ensuring compliance with complex licensing agreements, mitigating financial exposure, and optimizing usage in alignment with Head Office processes., • Perform System Integrity Checks: Conduct daily health and completeness checks for all software assets within the IT Asset Management (ITAM) platform., • Manage System Enhancements: Drive feature enhancements for the ITAM tool, collaborating closely with IT teams to prioritize, test, and implement functional improvements, particularly within the SAM space. Collaboration, Reporting, and Compliance • Facilitate Asset Recertification: Coordinate the ITAM Annual Recertification process in partnership with IT asset owners to ensure the ongoing integrity, compliance, and accuracy of software inventories., • Partner with Key Stakeholders: Liaise with business, risk, and IT stakeholders to facilitate IT controls reviews, ensuring all regulatory and internal controls are met, documented, and reported., • Deliver Senior-Level Reporting: Prepare and present risk and control reports, including Data Risk Strategy (DRS) and operational risk reports, for executive and senior management., • Manage Risk Acceptances: Evaluate, document, and submit risk acceptances for the Chief Information Officer (CIO) Office, ensuring detailed justification for any temporary exceptions., • Enhance Operational Security: Coordinate the implementation and knowledge-transfer processes for Multi-Factor Authentication (MFA) across relevant applications to continuously strengthen the perimeter., • Remediate EOL Exposures: Perform random sampling and quality assurance on the End-of-Life (EOL) remediation tracking systems to ensure effective hazard mitigation. Training, Culture, and Continuous Improvement • Foster an Accountability Culture: Develop and deliver targeted training programs to educate teams on IT risk management, regulatory expectations, and software licensing compliance, fostering a pervasive culture of risk awareness., • Monitor Emerging Trends: Stay at the forefront of industry trends, emerging technologies, regulatory shifts, and best practices in risk management and software licensing. Required Qualifications Education and Experience • Ideally, a Bachelor’s degree in Information Technology, Computer Science, Business Administration, or a related field (a Master’s degree or equivalent graduate degree is highly preferred)., • A minimum of 10 years of comprehensive experience in Information Technology, featuring hands-on expertise in IT risk management and software asset management, complemented by progressive leadership or team-management experience., • Strong experience working within highly regulated financial environments, specifically with frameworks and compliance requirements mandated by the FFIEC, the Federal Reserve, and other key banking regulators. Technical Skills and Certifications • Extensive knowledge of recognized IT risk frameworks (e.g., NIST, ISO 27001, and FFIEC) and complex software licensing models (including cloud, hybrid, and on-premises environments)., • Active professional certifications such as Certified in Risk and Information Systems Control (CRISC), Certified Data Privacy Solutions Engineer (CDPSE), Certified Software Asset Manager (CSAM), or closely equivalent industry credentials., • Proven familiarity with cloud technologies, particularly Software as a Service (SaaS) models, subscription management, and associated financial optimization., • Familiarity with architecture governance and enterprise architecture frameworks. Soft Skills and Leadership Attributes • Demonstrated ability to work independently, prioritize complex tasks under pressure, and consistently meet strict deadlines in a dynamic corporate setting., • Exceptional communication and interpersonal skills, with a proven track record of engaging, influencing, and collaborating with diverse stakeholders across regional offices and global headquarters., • Strong analytical, problem-solving, and decision-making capabilities, with a talent for translating complex technical risks into clear, actionable business strategies., • Solid experience in program management, vendor management, third-party governance, process improvement, and financial expense review. The salary range for this position will be between $185,000 - $210,000. Natixis is required by law to include a reasonable estimate of the compensation range for this role. Actual base salary will vary and will be based on several factors including, but not limited to, relevant experience, education, skills set, applicable licensure and certifications, and other business and organizational needs. Base salary is only one component of our total rewards package. Natixis also offers a generous benefits package, and you may be eligible for a discretionary incentive award depending on company and individual performance.

Machine Shop / Facilities Manager Location: Englewood, NJ Reports to: President Department: Production Direct Reports: Planner, Machinists, Assembler, Welder Indirect Reports: Purchasing Representative, Production Control Supervisor, Warehouse/Shipping & Receiving Supervisor, Assembly & Test Engineer About the Company Flowtec Group has partnered with a well-established rotating equipment and spare parts manufacturer on their search for a Machine Shop / Facilities Manager. Our client operates a multi-million-dollar precision manufacturing facility serving demanding industrial markets. Position Summary The Machine Shop / Facilities Manager is responsible for managing and continuously improving all operational aspects of the manufacturing facility. This is a hands-on, high-energy leadership role reporting directly to the President. Key Responsibilities • Ensure a safe, OSHA, and environmentally compliant workplace, • Manage facilities operations and lead modernization initiatives, • Supervise machinist, assembly, and welding personnel, • Coach direct and indirect employees to maximize morale, engagement, and productivity, • Utilize visual metrics to provide constant feedback on performance vs. plan and continuous improvement goals, • Own capacity, expense, inventory, and capital investment budgeting and forecasting, • Lead machine shop and test area capacity planning, • Manage all aspects of the supply chain, including supplier selection and contract negotiation, • Oversee critical shop activities including production planning, preventative maintenance, and continuous improvement, • Utilize EPICOR Release 10 ERP system to schedule and track production transactions, • Interface with customer representatives and third-party quality assurance organizations during shop inspections and customer witness testing, • Participate in the Quality Review Board, • Drive 5S and lean implementation, • Reduce slow-moving inventory and manufacturing costs, • Provide cost estimates for sales and engineering in support of proposal and product development activities Required Qualifications • Minimum 10 years of machine shop supervisory experience, preferably in a high-precision manufacturing environment, • Engineering degree or equivalent work experience, • Strong CAD/CAM, CNC, and manual machine tool knowledge and experience, • Basic knowledge of ASME welding and pressure vessel code requirements, • Ability to read engineering drawings and specifications, • Experience working within ISO or Military Standard Quality assurance systems, • Working knowledge of Microsoft Office, • Root cause analysis, problem solving, and corrective action implementation, • Basic understanding of casting techniques and casting quality control, • Continuous improvement mindset and drive, • Leadership and coaching skills, • Desire and aptitude to grow into more senior positions within the company

Please share your resume to shashi.raj@yoh.com Sr. Java Full Stack Engineer with Trading experience Remote within the U.S. W2 Only We can provide visa sposorship for the right candidate • Extensive hands-on experience (10+ years) in software design and development, with expertise in Java, Spring API development, and Linux., • Strong understanding of fixed protocols and low latency messaging systems such as Kafka.Expertise in Java, Python, and Linux.Collaborate with internal and external teams to deliver robust, end-to-end trading workflows., • Lead performance tuning and optimization efforts across the platform., • Deep experience with low latency messaging systems (e.g., 29West, Kafka), • Proficiency in KDB+ or other time-series databases., • Strong background in building scalable, distributed, asynchronous, and event-driven applications., • Advanced knowledge of low latency design patterns and performance optimization techniques., • Experience with Capital Markets or Brokerage systems, especially order management., • Solid understanding of the FIX protocol and FIX engines., • Worked with AI developer assist tools (e.g. GitHub Copilot)., • Experience with CI/CD tools such as GitHub, Maven, Jenkins, Artifactory, and uDeploy., • Hands-on experience deploying applications to AWS or other cloud platforms. Estimated Min Rate: $59.50 Estimated Max Rate: $85.00 What’s In It for You? We welcome you to be a part of the largest and legendary global staffing companies to meet your career aspirations. Yoh’s network of client companies has been employing professionals like you for over 65 years in the U.S., UK and Canada. Join Yoh’s extensive talent community that will provide you with access to Yoh’s vast network of opportunities and gain access to this exclusive opportunity available to you. Benefit eligibility is in accordance with applicable laws and client requirements. Benefits include: • Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week), • Health Savings Account (HSA) (for employees working 20+ hours per week), • Life & Disability Insurance (for employees working 20+ hours per week), • MetLife Voluntary Benefits, • Employee Assistance Program (EAP), • 401K Retirement Savings Plan, • Direct Deposit & weekly epayroll, • Referral Bonus Programs, • Certification and training opportunities Note: Any pay ranges displayed are estimations. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description. All qualified applicants are welcome to apply. Yoh, a Day & Zimmermann company, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Visit https://www.yoh.com/applicants-with-disabilities to contact us if you are an individual with a disability and require accommodation in the application process. For California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. By applying and submitting your resume, you authorize Yoh to review and reformat your resume to meet Yoh’s hiring clients’ preferences. To learn more about Yoh’s privacy practices, please see our Candidate Privacy Notice: https://www.yoh.com/privacy-notice Stay Safe During Your Job Search Fraudulent recruiting communications have become increasingly common. Emails from Yoh recruiters will only come from an @yoh.com email address. Yoh will never ask candidates to pay fees, purchase equipment, send gift cards, or transfer funds as part of the recruiting or hiring process. If you receive a communication that appears suspicious or requests payment, contact Yoh directly before responding or sharing personal information.

VERSA Products Company is a leading manufacturer of pneumatic directional control valves and valve automation solutions serving industrial, OEM, process control, and hazardous location markets worldwide. For over 75 years, VERSA has built its reputation on engineering excellence, innovation, quality, and customer satisfaction. Position Summary This position is ideal for a hands on Electrical and/or Mechanical Engineer responsible for the design, development, testing, and continuous improvement of mechanical and electro-mechanical products for the fluid power and valve automation industry. This role leads engineering projects, prepares technical documentation, collaborates with manufacturing and suppliers, and supports product certification and regulatory compliance. Essential Responsibilities • Drive continuous improvement initiatives for existing product lines to improve performance, manufacturability, reliability, and cost., • Develop engineering concepts, perform technical analyses, prepare test plans, conduct laboratory testing, and document results., • Design complex electro-mechanical and mechanical assemblies using 3D CAD software., • Create, review, and release engineering documentation including:, • 3D models, • Detailed manufacturing drawings, • Bills of Materials (BOMs), • Engineering Change Notices (ECNs), • Test reports, • Technical specifications, • Utilize engineering simulation software to evaluate and optimize product designs., • Collaborate with Manufacturing, Quality, Purchasing, and suppliers to ensure successful product launches and resolve technical issues., • Review supplier components and approve production samples., • Support Manufacturing by troubleshooting technical production issues and implementing engineering solutions., • Manage engineering projects from concept through production while meeting schedule, quality, and cost objectives., • Perform other engineering duties as assigned. Qualifications Required • Bachelor’s Degree in Electrical and/or Mechanical Engineering or related engineering discipline., • Minimum of six (6) years of product design experience in a manufacturing environment., • Minimum of two (2) years of hands-on 3D CAD design experience., • Experience creating mechanical assemblies, detailed drawings, and engineering documentation., • Proficiency with Microsoft Office applications. Preferred • Experience with pneumatic products, valves, fluid power, or industrial automation., • Experience with engineering simulation software such as EFD Flow, Maxwell, or similar analysis tools., • Familiarity with product testing, validation, and regulatory compliance., • Experience supporting ISO 9001 Quality Management Systems., • Project management experience leading engineering projects from concept to production. Knowledge, Skills & Abilities • Strong mechanical aptitude and analytical problem-solving skills., • Ability to manage multiple engineering projects simultaneously., • Excellent written and verbal communication skills., • Ability to work effectively with cross-functional teams., • Strong organizational and documentation skills., • Self-motivated with a continuous improvement mindset., • Ability to work independently while contributing to a collaborative engineering team. Benefits • Medical, dental, and vision coverage, • 401(k) retirement program, • Paid time off, • Tuition reimbursement, • Training and professional-development opportunities There is a reason many people join VERSA and stay for decades! We are a family-oriented organization with opportunities to grow.

Applications Engineer (On site) Location: Ramsey, NJ Join my client, a 100% employee-owned manufacturer and industry leader with 145 years of success. As an Applications Engineer, you’ll bridge engineering, manufacturing, and customer needs—turning complex technical data into practical solutions for high-performance electrical cable products that power critical infrastructure. Why You Should Apply • Join a stable, employee-owned company with over a century of innovation, • Collaborate with engineering, manufacturing, and technical experts, • Gain hands-on experience with advanced cable systems and standards, • Travel for customer presentations and industry meetings What You’ll Be Doing • Provide technical support for customer inquiries and engineering requests, • Develop and execute test plans with internal labs, • Interpret specifications (ICEA, IEEE, UL, NEC, ASTM, NEMA, etc.), • Partner with manufacturing and R&D to solve design challenges, • Participate in field installations and standards committees About You • Bachelor’s degree in Electrical Engineering, • CAD and Microsoft Office, • Strong communication and public-speaking skills, • Interest in hands-on, cross-functional engineering environments How To Apply We’d love to see your resume, but we don’t need it to have a conversation. Send us an email to tony@scientificsearch.com and tell me why you’re interested. Or, feel free to email your resume. Please include Job#19900

Mechanical / Optomechanical Engineer — Job Description The role Mechanical / Optomechanical Engineer — Production Engineering · Brooklyn Navy Yard, NY · Full-time, on-site We are seeking a Mechanical/Optomechanical Engineer to join our Production Engineering Team at Qunnect. As a core member of the design team, you'll transform quantum-optics prototypes into rack-mounted products that are optimized for manufacturing and robust performance. The role entails general mechanical design (chassis, enclosures, structures and rack integration) and optomechanical design of the fiber/free-space assemblies inside our Carina product suite. You'll own the documentation, fixtures and processes that support the assembly, characterization and support teams. This is a full-time, on-site, mid-level role in a fast-paced, multidisciplinary R&D setting. You'll sit in Production Engineering and work closely with our prototype engineers, our science team, and the assembly technicians who build our products. The majority of this role will be production work, with a share supporting new designs in prototyping. About Qunnect. Qunnect is a dynamic, venture-backed startup at the Brooklyn Navy Yard. We build and deploy first-in-class hardware that transforms existing telecom fiber into quantum-secure networks for defense, intelligence, financial services and critical infrastructure customers. Our products sit at the intersection of optics, atomic physics and electronics, and are deployed on commercial fiber networks in the US and Europe. Key responsibilities Mechanical Design • Chassis and enclosures. Design 19" rack-mount chassis, module housings and internal structures in sheet metal and machined parts, balancing stiffness, weight, cost and serviceability., • Rack and system integration. Package optical modules, electronics, power supplies, cabling and fiber management into complete cabinet systems, with sensible airflow and heat management, and own the mechanical side of interfaces with the electrical team., • Field robustness. Design for shipping, installation and uncontrolled telecom environments, and back it up with analysis and test where it matters. Optomechanical Design • Design for production. Take prototype optomechanical layouts — diode laser mounts, atomic vapor cell assemblies, polarization optics, fiber couplers and free-space beam paths — and redesign them for stability, manufacturability and cost., • Alignment and stability. Design epoxied and fixed-optic assemblies, with the tolerance stack-ups and alignment budgets to show they hold alignment through temperature changes, transport and service. Process Responsibilities • Define interfaces. Specify and document the mechanical and optical interfaces between modules and subsystems so teams can design to them independently., • Build the manufacturing package. Produce drawings, BOMs, assembly and alignment procedures, and acceptance tests; design the fixtures and tooling technicians use on the floor., • Run change control. Release and revise designs through our Engineering Change Order process, and help build out the design-specification and PLM infrastructure around it as we grow., • Close the loop with the floor. Work hands-on with assembly technicians to diagnose yield and build problems, then fix the root cause in the design or process., • Manage vendors. Work with machine shops, sheet-metal fabricators and optics suppliers; qualify suppliers and incoming parts., • Support deployments. When necessary, help our field support team install and support our systems at customer and partner facilities, incorporating feedback into future designs. Required qualifications • B.S. or M.S. in Mechanical Engineering (preferred), Optical Engineering, Physics or a related field., • 3–6 years designing precision mechanical or optomechanical hardware, with at least one design you carried from concept into production or repeated builds., • Strong 3D CAD (SolidWorks preferred) and clear, production-ready drawings., • Design for manufacturing across machined, sheet-metal and purchased parts, including DFM feedback from shops and fabricators., • Thermal design fundamentals: heat paths, forced-air cooling, and thermal expansion effects on precision assemblies., • Optomechanical fundamentals: kinematic and fixed/epoxied optic mounting, and translating optical requirements (pointing, beam height, coupling efficiency) into mechanical tolerances., • Hands-on lab and build skills, including basic free-space alignment and fiber coupling., • Clear technical writing., • Strong communication skills and a collaborative mindset; comfortable working across physics, electrical and manufacturing teams., • Proficiency with modern digital tools to streamline your workflow. Preferred qualifications • Experience packaging diode lasers (butterfly, ECDL, DBR) and managing optical feedback and isolation., • Polarization-maintaining fiber, polarization optics and fiber management in compact enclosures., • GD&T, and FEA for structural or thermal analysis (SolidWorks Simulation, ANSYS, COMSOL)., • Designing rack-mounted or field-deployed instruments, including integrating third-party equipment such as cryostats, compressors or UPS units., • Setting up or working within PLM and formal change-control systems., • Python, MATLAB or Mathematica for analysis, modeling or test automation, including analyzing test data to evaluate build quality or system performance. Compensation and logistics • Job type: Full-time, on-site at our Brooklyn Navy Yard lab and production facility, with potential for travel to customer sites and network deployments., • Reports to: Head of Product, within Production Engineering., • Compensation: $125,000 to $175,000 USD per year, commensurate with experience, • Benefits: 401(k) with company matching; health, vision and dental insurance; paid time off., • Supplemental compensation: Bonus pay and stock options. We don't expect candidates to match every qualification above — if the work excites you, apply. At Qunnect, we offer a stimulating and collaborative work environment, competitive compensation, and the chance to build hardware at the forefront of quantum networking. Must be physically located in the United States and legally able to work in the United States. We are not able to support work authorization sponsorship for this role. Qunnect is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

TrySmartly · Remote (United States) · Full-Time About Smartly TrySmartly is building a next-generation consumer lending marketplace for underserved and subprime borrowers. We take in traffic and lead submissions from distribution partners, enrich and evaluate that data, and connect consumers with lenders and financial-services providers through API integrations, intelligent matching and routing, and data-driven decisioning. We are early-stage, led by our Co-founder that has built and scaled marketplace platforms before, including leadership from Even Financial (now part of MoneyLion / Gen Digital) and Bankrate. The playbook is still being written, decisions get made in days rather than quarters, and the person in this role will have real influence over how the business scales. About the Role We are hiring a product leader to own Smartly’s consumer lending marketplace end to end — from the moment traffic or a lead enters through an affiliate, partner API, or referral experience, through enrichment, qualification, lender matching, offer presentation, redirect, and downstream conversion. This is a hands-on job. In a given week you might review source-level funnel analytics, design an A/B test, write requirements for a lead-post API, work through a data schema with an engineer, and discuss revenue per lead with the commercial team. You will work directly with the founders. We are open on level. Strong Senior PM and Director-level candidates should both apply; we will set the title to match experience. What You’ll Own Consumer funnel and conversion • The end-to-end funnel, from acquisition or lead ingestion through lender conversion and monetization., • A continuous experimentation roadmap — A/B tests, cohort and source-level analysis, field-level drop-off — and the discipline to turn findings into shipped changes. Marketplace and monetization • Product strategy for lead monetization: lender eligibility and knockout criteria, offer matching and ranking, routing logic, and traffic allocation., • The move from primarily rules-based matching toward scored, data-driven routing and ranking, in partnership with Data Science. APIs and partner integrations • Requirements and roadmap for lead-ingestion APIs, buyer and lender integrations, and third-party data connections — payloads, schemas, webhooks, conversion events, attribution, error handling, and monitoring., • Tooling and process that shorten the path from signed partner to live, measurable integration. Data and measurement • The measurement framework for the funnel and the marketplace: volume by source, eligibility and offer rates, click-through, application and approval rates, revenue per lead, and downstream quality., • Evaluation and integration of enrichment sources — credit attributes, identity, verification, income and employment, behavioral signals — where they measurably improve matching, conversion, or revenue per lead. What We’re Looking For • 5+ years in product management — fintech, consumer lending, marketplaces, lead generation, performance marketing, adtech, or another data-heavy consumer business., • Ownership of a funnel, marketplace, or performance product with measurable accountability for conversion, revenue, or unit economics., • Real fluency with REST APIs, JSON, data schemas, event tracking, and webhooks — enough to write the spec and help debug the integration., • Strong experimentation and funnel-analysis skills, and the ability to define the KPIs rather than inherit them., • SQL, or a demonstrated ability to get answers out of large datasets without waiting on someone else., • Comfort in an early-stage environment with incomplete tooling and shifting priorities. Nice to Have • Consumer lending, personal loans, or credit products., • Multi-lender or multi-buyer marketplaces: waterfalls, auctions, lead scoring, offer management., • Third-party data providers, enrichment services, or identity and verification tools., • Working with Data Science or ML on predictive models, ranking, or decisioning systems., • Regulated consumer financial services; product analytics tools such as Amplitude, Mixpanel, Looker, or Tableau. Why This Role You will not inherit a roadmap. You will help decide how Smartly ingests leads, enriches data, matches consumers to lenders, presents offers, and measures what happens after the redirect — with direct access to the leadership team and the latitude to act on what the data says. If you like funnels that are visibly broken, marketplace economics that are still being worked out, and the chance to build decisioning systems from close to scratch, this is that job. Compensation *Base: $150K to $190K *Bonus: Up to 10% of Annual Base, tied to company financial performance and individual goals Equal Opportunity TrySmartly is an equal opportunity employer. We consider all qualified applicants without regard to any characteristic protected by applicable federal, state, or local law. The responsibilities outlined above are not exhaustive, and the employee may be asked to take on additional duties as business needs evolve. *Compensation varies based on experience, skills, and relevant knowledge. The responsibilities outlined above are not exhaustive and the employee may be asked to take on additional duties as business needs evolve.

MS Shift is looking to hire a full time Quality Assurance (QA) Engineer. The QAE is responsible for ensuring the quality and reliability of software products through systematic testing and validation processes. They work closely with developers, product managers, and other stakeholders to identify issues and improve product quality. The role involves designing and implementing tests, debugging, and defining corrective actions. QA Engineers play a crucial role in delivering high-quality software products that meet customer expectations and industry standards. Key Responsibilities: Test Planning and Design: • Develop comprehensive test plans and test cases based on product requirements and specifications., • Identify and create appropriate testing environments, tools, and resources., • Collaborate with cross-functional teams to understand business requirements and technical specifications. Test Execution: • Execute manual and automated tests to identify defects, ensure functionality, and validate performance., • Conduct regression testing to verify that new features do not adversely affect existing functionality., • Perform load and stress testing to assess system performance under various conditions. Defect Management: • Identify, document, and track software defects using bug tracking tools., • Work with development teams to reproduce issues and verify bug fixes., • Prioritize and escalate critical issues as necessary to ensure timely resolution. Automation and Continuous Improvement: • Develop, maintain, and execute automated test scripts using appropriate tools and frameworks., • Continuously improve testing processes and methodologies to enhance efficiency and effectiveness., • Stay updated with industry trends and emerging technologies to integrate best practices into the QA process. Reporting and Documentation: • Create detailed and concise test reports, including test results, defects, and overall quality metrics., • Maintain comprehensive documentation of testing processes, procedures, and outcomes., • Provide feedback and recommendations for product improvements based on testing findings. Collaboration and Communication: • Work closely with developers, product managers, and other stakeholders to ensure alignment on quality objectives., • Participate in design and code reviews to provide a QA perspective., • Communicate effectively with team members and stakeholders to report on project status, risks, and issues. Qualifications: • Bachelor’s degree in Computer Science, Engineering, or a related field., • 5+ years proven experience as a QA Engineer or similar role in software development and quality assurance., • Experience with automated testing tools and frameworks., • Familiarity with bug tracking and test management tools. Skills: • Strong understanding of software development lifecycle (SDLC) and QA methodologies., • Proficiency in programming languages such as C#, Java, Python, or similar., • Excellent analytical and problem-solving skills., • Attention to detail and a commitment to delivering high-quality work., • Strong communication and teamwork skills., • Ukrainian/Russian speaker - a plus. Career Path: • Opportunities for advancement to Senior QA Engineer, QA Lead, QA Manager, or other technical and leadership roles within the organization.

Electrical Design Engineer We are seeking a skilled and detail-oriented Data Center Electrical Engineer to design, maintain, and optimize the electrical systems that power our mission-critical data center operations. This role ensures high availability, reliability, scalability, and compliance of all electrical infrastructure, from utility feeds and switchgear to UPS systems and power distribution units (PDUs). The ideal candidate will combine strong technical knowledge with a proactive approach to problem-solving in fast-paced, high-demand environments. Requirements: Work Authorization: US Citizen or Green Card Holder ONLY Salary Range: $100K to $150 (It could be higher or lower depending on experience) Work Location: Mid-town New York, NY Work Type: Onsite (Sorry no remote) Key Responsibilities Design & Engineering • Design and review electrical infrastructure for new and existing data centers, including power distribution, grounding, lighting, and monitoring systems., • Develop single-line diagrams, load calculations, and equipment specifications., • Evaluate new technologies to improve energy efficiency and resiliency., • Collaborate with architects, mechanical engineers, and vendors to ensure integrated solutions. Operations & Maintenance • Oversee the operation and maintenance of electrical systems such as switchgear, generators, UPS, PDUs, and backup power systems., • Implement preventative and corrective maintenance programs to minimize downtime., • Monitor and analyze system performance using Building Management Systems (BMS) and Data Center Infrastructure Management (DCIM) tools., • Ensure rapid troubleshooting and resolution of electrical faults or outages. Compliance & Safety • Ensure all electrical systems comply with NEC, NFPA, IEEE, OSHA, and other applicable codes and standards., • Maintain up-to-date knowledge of industry regulations and certifications (e.g., Tier levels, Uptime Institute, LEED)., • Develop and enforce safety protocols, lockout/tagout procedures, and emergency response plans. Project Management • Lead electrical infrastructure projects including retrofits, upgrades, and capacity expansions., • Manage vendors, contractors, and consultants to ensure projects are delivered on time, within scope, and on budget., • Prepare documentation including test reports, commissioning reports, and as-built drawings., • Support capital planning and budget management for electrical systems. Qualifications Education & Certifications • Bachelor’s degree in Electrical Engineering or related field (Master’s preferred)., • Professional Engineer (PE) license is a plus., • Certifications such as LEED, PMP, or Uptime Accredited Tier Designer are advantageous., • Experience, • 5+ years of experience in electrical engineering, with at least 3 years in mission-critical facilities or data center environments., • Proven expertise with medium and low voltage distribution systems, UPS systems, diesel generators, and power monitoring systems., • Experience designing and supporting Tier III/Tier IV data centers strongly preferred., • Familiarity with load management, redundancy planning, and fault tolerance design. Technical Skills • Strong knowledge of NEC, NFPA 70E, and IEEE standards., • Proficiency in AutoCAD, Revit, or other design tools., • Experience with electrical modeling software (ETAP, SKM, or similar)., • Familiarity with SCADA, BMS, and DCIM platforms., • Strong analytical, troubleshooting, and problem-solving skills. Call: 516-263-655 Email: joe.costello@castleinteract.com

Mechanical Engineer Brooklyn, NY About the Company Aerflo is redefining hydration on the go with the world's first portable soda maker that turns still water into sparkling water anytime, anywhere. Rooted in innovation, good design, and sustainability, we're building a future where sparkling water is more accessible, less wasteful, and infinitely more enjoyable. OVERVIEW We are seeking an enthusiastic and creative Principal Mechanical Engineer to help drive our engineering and product roadmap to and through commercial launch. Qualifications • 4+ years mechanical design or equivalent experience, • B.S. in Mechanical Engineering experience, • Experience developing product from concept through to launch, • Experience doing development and production planning work with contract manufacturers, • Proficient in Onshape or similar CAD package (Solidworks, NX or similar), • Experience in quality management and quality systems (e.g. Six Sigma, FAI, CPK etc.), • Demonstrated ability to work proactively to identify issues and propose solutions., • Experience in Design for Manufacturability (DFM), and Design for Assembly (DFA), statistical tolerance analysis techniques, functional dimensioning, and geometric tolerancing, with focus on high volume manufacturing, • Experience with core manufacturing methods including sheet metal, injection molding, machining and casting, • Willingness to be hands-on with prototyping and testing, • Able to work in a fast-paced, ever changing environment to deliver optimal solutions at prescribed time frame, • Happy and able to travel internationally (~5%), • Self-motivated, hands on and good team player alongside strong leadership skills, • Proficient in failure analysis as to identify sources of variation contributing to failure mode Ideal if • Experience designing systems, O-rings, and seals for high pressure gas, • Ideally have experience of working in a regulated industry, • Direct experience with startups/growth-stage companies Responsibilities • Play an active part to provide leadership within the ME department, • You will play a key role in ensuring mechanical design robustness, manufacturability, time to market, and cost goals are all met, • Problem solving and root cause analysis of product failures, • Write and implement test plans at the design and production phases, • Design CAD drawings, mechanical renderings, and other relevant mechanical design content, • Create 2D drawings for design and ensure appropriate product definitions and design controls, • Troubleshoot and solve performance problems during development and in production, • Clearly document and communicate your work to engineering and product teams, • Create and lead engineering changes for updates and improvements to existing products, • Collaborate with a global network of suppliers throughout development phases to ensure quality and performance, • To create and maintain a culture of high standards to meet the vision and mission of the ME department, • Safeguarding product quality – responsible to drive DPPM at customer to minimum by analyzing failure and implementing corrective actions (Internal/External). Who you will work with • You will report directly to the Co-President, • You will work multi-functional with many teams including Program Management, Product Management, Operations, Quality, Supply Chain Compensation Compensation will be determined by experience and demonstrated impact. In addition to base salary, this role is eligible for an annual performance bonus and participation in the company's long-term incentive plan. Benefits include 401(k), full health coverage, and paid time off. Final compensation will depend on a variety of factors determining the base pay at offer, including but not limited to: skills, qualifications, and experience. Candidates must be authorized to work in the United States on a full-time basis without the need for current or future employer-sponsored work authorization. Equal Opportunity Statement Aerflo is an equal opportunity employer and celebrates diversity. We are committed to creating a workplace founded on mutual respect, equal opportunity, and freedom from discrimination or harassment. We make employment decisions based on business needs, job requirements, and individual qualifications. If you require accommodations during the recruitment process, please let us know.

Job Description Optical Network Engineer – Corporate Communications Transmission Network (CCTN) Who We Are We provide safe and reliable energy to our customers while protecting the environment and fostering a diverse and inclusive workforce. Whether during heat waves, severe storms, or cold snaps, we are committed to delivering the reliable service our customers depend on every day. Join us and help build the energy infrastructure of the future. About The Team – Corporate Communications Transmission Network (CCTN) The Corporate Communications Transmission Network (CCTN) is the clients mission-critical telecommunications organization responsible for planning, engineering, deploying, operating, and maintaining the communications infrastructure that supports electric, gas, steam, and corporate operations throughout service territories. CCTN delivers highly reliable and resilient telecommunications services connecting Energy Control Centers, substations, generating stations, data centers, field facilities, and corporate locations. These networks support critical operational technologies and business systems, including: • Supervisory Control and Data Acquisition (SCADA), • Energy Management Systems (EMS), • Feeder relay protection systems, • Remote Terminal Units (RTUs), • Operational Technology (OT) networks, • Corporate data communications, • Voice communications, • Cybersecurity infrastructure, • Data center connectivity and disaster recovery services CCTN manages and maintains a diverse telecommunications portfolio that includes fiber-optic transport systems, Dense Wavelength Division Multiplexing (DWDM) networks, MPLS and IP communications networks, microwave radio systems, carrier services, and supporting DC power infrastructure. The organization plays a vital role in ensuring the reliability, resiliency, security, and modernization of the communications systems that enable safely operate its electric, gas, and steam delivery systems. What's In It For You Join our team as an Optical Network Engineer and work alongside telecommunications and network engineering professionals responsible for designing, implementing, operating, and maintaining mission-critical optical communications networks that support Client and Orange & Rockland utility operations. This position plays a key role in ensuring the reliability, resiliency, capacity, and modernization of the company's telecommunications infrastructure that supports critical utility services throughout New York City, Westchester County, the Hudson Valley, northern New Jersey, and Orange & Rockland territories. Core Responsibilities • Develop design architectures for the Corporate Communications Transmission Network (CCTN), including Dense Wavelength Division Multiplexing (DWDM), Outside Plant Fiber Cable, microwave transport systems, and DC power infrastructure supporting optical transport equipment., • Develop engineering plans, scopes of work, bills of materials, technical specifications, and project schedules for the installation of DWDM systems, Outside Plant Fiber Cable, microwave systems, DC power systems, and related telecommunications infrastructure., • Develop engineering plans, scopes of work, bills of materials, and project schedules for the construction and installation of communications huts, equipment rooms, relay racks, cabinets, grounding systems, and supporting telecommunications infrastructure., • Develop Methods of Procedure (MOPs) for network implementation, service migrations, maintenance activities, change management, testing, troubleshooting, and emergency restoration efforts., • Design optical transport networks supporting SCADA, feeder relay protection, Operational Technology (OT) systems, Remote Terminal Units (RTUs), voice services, cybersecurity applications, Energy Management Systems (EMS), and corporate network connectivity., • Perform network engineering activities supporting telecommunications services between Energy Control Centers, substations, generating stations, data centers, microwave sites, and corporate facilities., • Perform equipment commissioning, network turn-up, acceptance testing, troubleshooting, service restoration, and lifecycle upgrades using optical and telecommunications test equipment., • Perform Bit Error Rate Testing (BERT) and physical- and transport-layer validation, including end-to-end commissioning, circuit turn-up, troubleshooting, and performance verification across legacy TDM, MPLS, DWDM, microwave, Ethernet, and Fibre Channel transport systems., • Utilize optical test equipment including Optical Time-Domain Reflectometers (OTDRs), optical power meters, light sources, optical spectrum analyzers, fiber-inspection equipment, and related telecommunications testing tools., • Install, route, label, inspect, clean, test, and document fiber-optic cabling and jumper connections, verifying fiber assignments, port assignments, wavelengths, optical power levels, and end-to-end circuit connectivity., • Develop and maintain DWDM network designs, including wavelength plans, optical power and loss budgets, resiliency improvements, equipment configurations, capacity expansions, and lifecycle modernization initiatives., • Operate, maintain, monitor, and troubleshoot DWDM network elements and supporting systems, including transponders, muxponders, amplifiers, ROADMs, multiplexers, demultiplexers, and network management platforms., • Support microwave radio network engineering activities, including path analysis, equipment deployment, performance verification, service integration, troubleshooting, and maintenance coordination., • Supervise and coordinate telecommunications installation vendors and contractors, review installation quality, and verify completeness and accuracy of as-built documentation., • Develop and maintain engineering standards, design templates, configuration standards, and network documentation., • Participate in emergency restoration efforts associated with telecommunications and utility infrastructure., • Travel throughout service territories to support engineering, implementation, testing, maintenance, troubleshooting, and emergency-response activities., • Transport, stage, load, unload, and move telecommunications equipment, materials, tools, test equipment, and spare inventory between storage facilities and project implementation sites., • Work outside normal business hours, as required, to support network implementations, maintenance activities, service migrations, emergency restoration efforts, and critical production issues., • Perform other related assignments and responsibilities as required. Required Knowledge And Experience • Strong knowledge of DWDM network design, deployment, operation, maintenance, monitoring, troubleshooting, and lifecycle management., • Strong understanding of optical transmission theory, fiber-optic communications, optical power and loss budgets, and transport networking technologies., • Strong knowledge of SONET, TDM, Ethernet, MPLS, DWDM, and related transport technologies., • Experience with optical equipment commissioning, acceptance testing, troubleshooting, and network performance validation., • Experience evaluating emerging telecommunications technologies and developing engineering standards and best practices., • Understanding of cybersecurity principles and their application to telecommunications and critical infrastructure networks., • Demonstrated experience using optical testing equipment and interpreting results associated with fiber characterization, optical performance verification, equipment commissioning, network acceptance, fault isolation, and troubleshooting., • Experience developing technical documentation, including engineering drawings, procedures, scopes of work, bills of materials, test plans, and as-built records., • Familiarity with Cisco Company 2006, Cisco ONS 15454 MSTP/MSPP platforms, Cisco Transport Planner (CTP), and Cisco Evolved Programmable Network Manager (EPNM) is preferred., • Familiarity with microwave radio systems, RF communications, MPLS networking, and applicable FCC requirements is preferred., • Experience supporting critical infrastructure, utility telecommunications, Operational Technology (OT), industrial control systems, or energy-sector communications networks is preferred. Required Education And Experience Bachelor's Degree Bachelor's degree in Information Technology, Computer Science, Engineering, Telecommunications, or a related discipline and a minimum of three (3) years of IT or telecommunications experience. Associate Degree Associate degree in Information Technology, Computer Science, Engineering, Telecommunications, or a related discipline and a minimum of five (5) years of IT or telecommunications experience. High School Diploma or GED High school diploma or GED and a minimum of seven (7) years of IT or telecommunications experience. Skills And Abilities • Strong analytical, organizational, troubleshooting, and problem-solving skills., • Ability to manage multiple assignments and priorities in a fast-paced environment., • Strong verbal and written communication skills., • Strong collaboration and team-building skills., • Ability to work effectively with engineers, operations personnel, project managers, vendors, contractors, and business stakeholders., • Ability to prepare clear and concise technical, engineering, and operational documentation., • Ability to work independently while contributing effectively within a team environment. Licenses and Certifications • Valid driver's license required., • Personal vehicle required to support travel between company facilities, storage locations, project sites, and emergency-response locations., • Mileage and tolls incurred while conducting authorized company business will be reimbursed in accordance with company policies. Physical Demands • Must be able to push, pull, and lift up to 40 pounds., • Must be able to transport, load, unload, and move telecommunications equipment, tools, materials, and test equipment., • Must be able to sit or stand for extended periods while using computers and engineering tools., • Must possess the manual dexterity necessary to use hand tools, telecommunications test equipment, and computer hardware., • Must be able to stoop, bend, reach, kneel, climb ladders, and work within telecommunications equipment spaces., • Must be able to read equipment labels, technical documents, wiring diagrams, engineering drawings, and network schematics. Additional Requirements • Must be available to participate in off-hours work, system cutovers, maintenance windows, and emergency restoration activities., • Must be able to respond to company emergencies and perform a System Emergency Assignment (SEA) in support of restoring service to customers., • Must wear required Personal Protective Equipment (PPE), including hard hats, safety glasses, gloves, and safety footwear, when required. Why Join CCTN? This position offers a unique opportunity to engineer and support the telecommunications infrastructure that enables the safe and reliable operation of one of the nation's largest energy delivery systems. As an Optical Network Engineer, you will play a direct role in the modernization, resiliency, cybersecurity, and operational reliability of the mission-critical communications networks that support operations.

Position: Architect - Data Governance Engineer Location: New York, NY, 10112 Duration: 7 Months Job Type: Contract Work Type: Remote Pay Rate: $62.12-100.95/Hr Overview: TekWissen Group is a workforce management provider throughout the USA and many other countries in the world Job Description: Qualifications: • A Bachelor's Degree or Higher in Information Systems Juggling multiple tasks as needed, • Works well in a team Environment, • 7-10+ Years' Experience Specifications: • Listed below are the detailed functional and technical specifications and standards for all Services and Deliverables, including test plans, test scripts and quality standards., • Product Management for ETL/Data Quality/Data Governance must follow the standard client PMO documents, • KT/Handoff must follow the standard client Handoff documents, • Validation of Data Marketplace/ETL must use the standard client Quality Check scripts, • Gathering of requirements must use the standard client Data requirement questionnaires, • Documentation: Listed below are the documentation standards the Provider will follow with respect to the Services and the Deliverables under this SOW., • ETL/Analytics/Data Governance and KT/Handoff Process documents Responsibilities: • Developing enterprise application components using latest tools and technologies., • Design, code and debug process that confirms to business requirements, data loading components for data from different databases, flat files and other source systems., • Develop applications with focus on using development in Extract, Transform and Load (ETL), Java, Python, PL/SQL, CKAN, JSON, XML,Informatica, AWS,Hadoop,Talend Business Intelligence (BI), Postgres and several other Open Source tools., • Re-engineer some of the application components to increase performance, ease maintenance and incorporate industry enterprise best practices., • Develop techniques/processes to tune performance, usability, automation of daily data loads., • Integrating software packages, programs and reusable objects residing on multiple platforms., • Design process for application testing and quality assurance., • Developing applications comprised of distributed data processing in enterprise tools & components that run on multiple platforms, • Handle code migrations across different environments., • Participate in code walkthroughs and mentoring the team members to optimize code., • Investigate and test various platform dependencies to proactively develop solutions., • Review and approve appropriate written materials and documentation. Produce Technical documentation and other written materials, as well as maintain the documentation library., • Communicate with technical staff in the I.S. Department to resolve bugs and other malfunctions in computer software and processes., • Handle end-to-end requirements gathering sessions/design/hands-on development for all the layers starting from staging data from source systems, enhancing data quality and publishing data for integration with different consumers. TekWissen® Group is an equal opportunity employer supporting workforce diversity.

Robotics Company is hiring an Electrical Engineer in NYC Our client is building humanoid robots and learning systems for the physical world. Their focus is simple: make light work. They’re looking for an Electrical Engineer who can design and validate the electronics that power reliable, high-performance robotic hardware — from power and sensing to control and interconnects. What you’ll do • Design power, control, sensing, and interconnect electronics, • Develop mixed-signal and high-current PCBs from schematic through bring-up, • Integrate electronics with actuators, sensors, and mechanical assemblies, • Test hardware, investigate failures, and prepare designs for manufacture What they’re looking for • 5+ years developing electronics for robotics or comparable electromechanical systems, • Strong schematic and PCB layout experience, • Working knowledge of power integrity, signal integrity, and embedded communications, • Proven track record taking hardware from design through validation Bonus points for experience with power electronics and battery systems, embedded firmware, or EMI/EMC and functional safety. This is an early-stage team in New York building the next generation of humanoid capability for the Healthcare and Hospitality industries. If you want to design electronics that move from the bench into real robotic systems, reach out. #hiring #robotics #electricalengineering #hardware #PCB #NYC #humanoids

JOB SUMMARY Mid-Level Mechanical Engineer to drive design, design verification, manufacturing scale-up, automation, continuous improvement, and sustaining engineering initiatives. Operating within an ISO 9001 quality management system for diagnostics and medical devices, this role bridges the gap between R&D and production. The Sr. Engineer will own design transfers, optimize manufacturing performance, solve complex technical problems independently, and contribute directly to new product development. Working in a fast-paced CDMO environment, they will collaborate cross-functionally to improve product quality, reduce costs, and support strategic client initiatives from concept to commercialization. ESSENTIAL DUTIES AND RESPONSIBILITIES • Leads design and development of moderately to highly complex diagnostic sub-assemblies and modules (e.g., fluidic cartridges, optical interfaces, electromechanical systems), owning execution from concept through verification and design transfer with minimal supervision., • Design diagnostic sub-assemblies and modules like fluidic cartridges, optical interfaces, and electromechanical systems from concept through design transfer using SolidWorks., • Apply advanced GD&T and perform tolerance stack-up analyses to ensure high-yield manufacturing and proper component fit., • Perform engineering analyses including structural, thermal, fluidic, and FEA, validating results through hands-on prototyping., • Own technical decisions within assigned scopes, balancing trade-offs between performance, cost, manufacturability, and quality standards., • Implement manufacturing automation and continuous improvement initiatives to increase throughput, optimize processes, and reduce production costs., • Support production lines by troubleshooting daily technical issues to improve line efficiency and on-time delivery., • Lead root cause analysis (RCA) for component or process failures and implement robust corrective/preventive actions., • Manage engineering changes seamlessly from initial identification through final production release., • Develop and execute verification and validation (V&V) plans, including hands-on testing of fluidic and electromechanical systems., • Maintain documentation and Design History Files (DHF) in strict compliance with ISO 9001 and client quality standards., • Interface with customers directly through regular technical meetings, milestones, and design reviews., • Collaborate with suppliers to resolve technical fabrication issues, source components, and ensure part quality., • Work as directed by manager. Health & Safety: • Report and take required action regarding injuries, incidents, medical, and accidents required by policy., • Make the health, safety, protection of rights, and the development of all employees your primary responsibilities., • Effectively manage medical and first aid emergencies., • Follow all agency safety/medical related policies and procedures., • Follow fire evacuation and disaster procedures correctly and in a timely manner., • Report unsafe situations immediately; ensuring safety is imperative., • Ensure pertinent emergency telephone numbers are readily available., • Report symptoms and signs of communicable diseases immediately., • Consistently use universal precautions., • Report any incident that could potentially result in negative reactions from the community, law enforcement officers, and other agencies to the supervisor immediately. EDUCATIONAL REQUIREMENTS, QUALIFICIATIONS, and TRAININGS • Bachelor’s degree in mechanical engineering or a related technical discipline., • Experience: 5–8 years of progressive engineering experience, ideally within a regulated product environment., • CAD Expertise: Proficiency in SolidWorks for component and assembly design., • GD&T & Tolerance Analysis: Strong expertise in geometric dimensioning and tolerancing, including complex tolerance stack-up analysis., • Quality Systems: Solid understanding of ISO 9001 requirements, design controls, and maintaining Design History Files (DHF)., • Engineering Operations: Practical experience managing engineering changes via ECO/ECN workflows., • Problem Solving: Demonstrated experience leading root cause analysis (RCA) and implementing corrective actions (CAPA)., • Testing & Validation: Hands-on experience developing and executing engineering verification and validation (V&V) plans., • Process Optimization: Ability to independently develop, improve, and standardize engineering and manufacturing processes., • Communication: Strong communication skills with a proven ability to present technical data clearly to managers and clients. Preferred Qualifications • Advanced Degree: Master’s degree in mechanical engineering or a related technical discipline., • Automation Elements: Hands-on experience working with stepper motors and PLC systems., • Industry Experience: Prior experience in contract manufacturing (CDMO) or ISO 9001 medical/diagnostic device environment., • Specialized Systems: Practical experience with fluidics, microfluidics, or precision piston pump technologies., • Prototyping & Fabrication: Hands-on experience working in a machine shop environment., • Testing & Tools: Experience in test method development and using Python coding for engineering data analysis., • Professional Certifications: Lean Six Sigma Green Belt, PMP, or equivalent continuous improvement certifications. COMPUTER AND SOFTWARE REQUIREMENTS • Microsoft: Office 365; SharePoint; Teams; Visio; and OneNote preferred., • Epicor experience preferred., • Ability to operate media equipment such as tablets, smartphones, and other electronic equipment., • Ability to work with general office equipment., • Ability to work with and understand databases a must and the ability to learn technical skills. PHYSICAL REQUIREMENTS & WORK ENVIRONMENT • Shall have essential physical skills; be able to run, squat, stoop/bend, kneel, climb stairs, be able to lift at least 50 pounds (or ¼ own body weight)., • Shall have adequate vision, reading, writing, and documentation skills, and hearing to perform the essential functions of the job., • Must have enough endurance to perform tasks over long periods of time., • Will be engaged in speaking, sitting, walking, driving, listening, and in communicating both orally and in writing while performing his or her duties., • Must be able to listen and respond to questions and instructions. The qualifications, physical demands, and work environment described herein are representative of those an employee will encounter and must meet to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The requirements listed in this document are the minimum levels of knowledge, skills, or abilities. This document does not create an employment contract, implied or otherwise, other than an "at will" relationship. Arcmed is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. The above noted job description is not intended to describe, in detail, the variety of tasks that may be assigned but rather to give the incumbent a general sense of the responsibilities and expectations of his/her position. As the nature of business demands change, so, too, may the essential functions of this position.

The FPGA Engineer works as a member of an engineering team to design, implement, and verify complex FPGA solutions with a focus on video and signal processing applications. This role requires expertise in both FPGA development and digital signal processing techniques. The engineer will be responsible for the full development cycle of FPGA designs from requirements through unit verification and documentation. The engineer will participate in the integration of their FPGA designs with both hardware and software teams. Responsibilities: • Design and implement digital signal processing solutions including FIR/IIR filters and other DSP algorithms., • Evaluate, integrate, and verify third-party IP cores into system designs., • Develop custom digital logic to interface between various IP cores and system components., • Create and maintain efficient FPGA architectures that meet performance, power, and resource utilization requirements., • Implement video (ISP) and signal processing pipelines including filters, data conversion, and buffering., • Write and maintain automation scripts for FPGA build, simulation, and verification processes., • Perform timing closure on complex FPGA designs., • Manage integration between logic and processing systems in FPGA SoC devices., • Create and execute comprehensive verification plans for both custom logic and IP integrations., • Optimize FPGA designs for resource utilization and performance., • Debug hardware issues using logic analyzers, oscilloscopes, and other test equipment., • Create technical documentation including architecture specifications and design documents., • Collaborate with hardware and software teams to ensure proper system integration., • Support system-level integration and testing activities. Qualifications and Experience: • Bachelor’s Degree in Computer Engineering, Electrical Engineering, or other related field from an accredited school., • Minimum 5 years of FPGA development experience., • Strong proficiency in VHDL and Verilog., • Demonstrated expertise in digital signal processing implementation on FPGAs.

Project Description: DXC Luxoft has one of the world's leading Murex practices. We are a top-tier Murex Alliance Partner and a market leader in implementation, integration, upgrade, and migration. We provide end-to-end project services and have delivered over 200 successful Murex projects across all major asset classes and sectors including investment banking, asset management, corporate treasury, and insurance. This is a contractor position. Whether you possess a background in finance, technology, or Mathematics, your experience in the capital markets industry would be of high interest to us. Responsibilities: • As a DevOps Engineer, you will be responsible for designing, building, and operating automated platforms that enable reliable, secure, and scalable delivery of the MX platform across SaaS, cloud, and on-premise environments., • You will play a key role in CI/CD implementation, infrastructure automation, environment management, and production reliability, working closely with development, QA, and client-facing teams. Key Responsibilities: 1. CI/CD & Release Engineering • Design, implement, and maintain CI/CD pipelines to support continuous integration, testing, and deployment across multiple environments, • Ensure pipeline stability, performance, and reliability, minimizing build failures and delays, • Implement automated build, packaging, and deployment processes, • Enforce version control best practices (branching strategies, tagging, artifact management), • Support release cycles, including validation, smoke testing, and rollback strategies 1. Automation • Plan & Code Templates stored in Git repositories alongside application code, allowing template updates to be version-controlled, code-reviewed, and tracked, • Automate environment provisioning, configuration, and upgrades, • Build reusable automation components to improve scalability and consistency, • Reduce manual operations through process automation and scripting 1. Environment & Platform Management • Deploy and manage MX environments across development, testing, and production stages, • Handle environment lifecycle:, • o Provisioning, • o Configuration, • o Upgrades & patching, • o Decommissioning, • Ensure environments are standardized, reproducible, and compliant, • Support multi-client and multi-environment setups in SaaS or hybrid models 1. Monitoring, Observability & Reliability (SRE mindset) • Implement and maintain:, • o Monitoring, • o Logging, • o Alerting, • Ensure end-to-end observability of platforms and pipelines, • Perform root cause analysis (RCA) on incidents, • Contribute to improving system reliability, SLAs, and operational KPIs 1. Data & Environment Operations • Manage environment data lifecycle:, • o Data provisioning, • o Data masking for non-prod environments, • o Data sampling and reduction, • Support database operations:, • o Migration, • o Sanitization, • o Reconciliation, • Ensure compliance with security and data governance requirements 1. Incident & Support Management • Act as a technical escalation point for environment and platform incidents, • Troubleshoot complex issues across infrastructure, pipelines, and environments, • Coordinate with support and product teams for resolution, • Ensure proper documentation and knowledge sharing 1. Collaboration & Delivery Enablement • Collaborate with:, • o Development teams (integration into CI/CD pipelines), • o QA teams (test automation and environment consistency), • o Product teams (release readiness and constraints), • o Client teams (technical coordination and delivery), • Contribute to smooth delivery across project lifecycle 1. Continuous Improvement & Best Practices • Promote DevOps principles:, • o Automation-first, • o Continuous integration & delivery, • o Shift-left testing, • •Identify inefficiencies and propose improvements, • • Contribute to:, • o Internal tooling, • o Documentation, • o Standardization efforts, • Share knowledge and support onboarding of new team members Required Skills & Experience : Technical Skills • CI/CD tools: Jenkins, GitLab CI, Azure DevOps, • Version control systems: Git (advanced usage), • Proficiency in template engines, specifically FreeMarker (FTL), • Scripting: Shell, Python, Groovy, • Operating systems: Linux/Unix, • Cloud platforms: AWS (preferred), Azure/GCP is a plus, • Databases: RDBMS (Oracle, PostgreSQL, or similar) DevOps & Platform Expertise • Experience building and operating CI/CD pipelines in complex environments, • Knowledge of monitoring and observability tools, • Exposure to SaaS / distributed architectures Soft Skills • Strong analytical and troubleshooting skills, • Ability to work under pressure in production environments, • Clear communication with both technical and non-technical stakeholders, • Team-oriented with strong collaboration mindset, • Proactive and continuous improvement mindset Mandatory Skills Description: • 1-2 years of experience in DevOps, CI/CD, • Hands-on experience in production or client-facing environments preferred Nice-to-Have Skills Description: • Murex MLC - Credit Risk Collateral.

Company: SimplifyVMS Location: Jersey City, New Jersey. Role type: Full-time, hands-on individual contributor About the role SimplifyVMS is building an AI-first platform for managing the contingent workforce. We are looking for an exceptional and passionate engineer to own the design and delivery of our next-generation reporting and analytics product that will replace our current reporting/analytics platform. We are working in a hyper speed mode and looking for someone who can fit this culture. Time is of essence in the world of AI. This is a builder role, and you will leverage tools like cursor and Claude to automate the entire software development. You will turn complex VMS data into trusted, fast, intuitive analytics for customers. The initial goal is to deliver a production-ready reporting foundation, a flexible self-service report builder, and approximately 60–70 standard reports. We want to make substantial progress within the first 60 days by using AI development tools effectively, reusing sound reporting patterns, and making focused product decisions. You will work directly with product and business stakeholders, take ownership of technical decisions, and write production code yourself. You should be comfortable moving quickly without compromising data accuracy, tenant security, or maintainability. What you will own • Design the reporting architecture, including data ingestion, transformation, analytical data models, metrics, APIs, and the user-facing reporting experience., • Build a self-service report builder that lets authorized users select fields and metrics, apply filters, group and sort results, create visualizations, and export reports., • Deliver a catalog of approximately 60–70 standard reports by defining reusable datasets, metrics, templates, and report configurations., • Translate VMS concepts—including requisitions, submissions, placements, assignments, timesheets, spend, suppliers, rates, and program performance—into consistent, documented reporting definitions., • Establish strong tenant isolation and role-based access so customers see only the data they are entitled to access., • Optimize report performance and data freshness for large customer datasets., • Build automated tests and reconciliation checks that compare report results with source transactions and existing reports., • Evaluate where existing analytics components can accelerate delivery and where a native SimplifyVMS experience is needed., • Use Cursor and other AI coding tools to accelerate development while personally reviewing architecture, generated code, tests, security, and results., • Demonstrate working software frequently, incorporate customer and stakeholder feedback, and own the platform through launch. First 60 days Weeks 1–2: Understand the SimplifyVMS data model and existing reports; agree on definitions for critical metrics; deliver an end-to-end report using real data with correct tenant permissions. Weeks 3–4: Establish the reporting data model and reusable metrics; deliver the first set of priority reports and a working version of the report builder. Weeks 5–8: Expand the standard report catalog, improve builder capabilities, validate results with business owners, test performance and access controls, and release an initial production version. Success will be measured by accurate, usable reports and a durable foundation for future analytics—not by generating 70 report screens that cannot be trusted. What we are looking for • Significant experience building production data, analytics, or reporting products, ideally in a multi-tenant B2B SaaS environment. Number of years of experience does not matter. What matters is your ability to deliver an exceptional reporting/analytics platform that will define the future of the industry., • Strong hands-on software engineering ability across backend services, SQL, data modeling, APIs, and modern web applications., • Experience building configurable reporting, embedded analytics, business intelligence, or customer-facing dashboards., • The ability to design reliable ingestion and transformation pipelines and make practical decisions about data freshness, scale, and cost., • Deep understanding of permissions, tenant isolation, sensitive data handling, and secure query design., • Experience using AI coding tools to deliver substantially faster while maintaining engineering discipline., • Strong product judgment: you can turn ambiguous requests into reusable capabilities instead of one-off reports., • A track record of independently taking a complex product from architecture to production., • Clear communication, urgency, ownership, and comfort working directly with business stakeholders. Particularly valuable experience • Contingent workforce, VMS, staffing, MSP, procurement, or HR technology data., • ClickHouse, Superset, Kafka, Debezium, or comparable analytics and data pipeline technologies., • Designing semantic layers, metrics catalogs, report templates, and natural-language analytics., • Building analytics products on AWS and integrating them into an existing SaaS application. Why this role matters Reporting is a core product capability for SimplifyVMS. The right person will do more than produce dashboards: you will create the data and analytics foundation that helps customers understand their workforce, make better decisions, and eventually interact with their data through AI. This is an opportunity for a highly capable engineer to own a meaningful product from the start.

Position Description: Systems Engineer The IT Systems Engineer will be responsible for maintaining, securing, and improving Insite's internal technology ecosystem. This role serves as the primary technical point of contact for our IT vendors and platform providers, and will play a hands-on role in engineering new solutions as the company's needs evolve. This is an individual contributor role reporting directly to the Director of Security Technology, ideal for someone who enjoys owning a diverse stack end-to-end and working independently in a hybrid office environment. Insite's Security Technology team currently supports internal IT as a secondary function alongside their primary client-facing work. This role, IT systems engineering is the primary function, with the opportunity to support client-facing physical security technology projects as a secondary function when bandwidth allows. Candidates who bring both skill sets are especially valuable, but not a requirement for this position. Key Responsibilities: • Administer and maintain the health, security, and performance of Insite's core technology ecosystem, including Microsoft 365 (SharePoint, Exchange Online, Intune), Jamf MDM, Meraki networking, Slack, Zoom/Zoom Phone, Smartsheet, and Druva inSync backup., • Serve as the primary technical liaison to IT vendors and platform providers, managing support tickets, escalations, license renewals, and roadmap conversations., • Design, test, and implement new tools, integrations, and automations that improve efficiency and security across the environment., • Manage identity and access administration in Microsoft Entra ID, including conditional access policies, SSO/SCIM configuration, and lifecycle management (onboarding/offboarding)., • Own corporate and BYOD endpoint management and compliance across Windows, macOS, Android, and IOS fleets via Intune and Jamf, including patching, configuration profiles, and security baselines., • Maintain network infrastructure managed through Meraki (switches, wireless, security appliances) across office and remote sites., • Ensure data protection and business continuity through Druva inSync backup administration, monitoring, and recovery testing., • Administer collaboration and communication platforms (Slack, Zoom, Zoom Phone, Smartsheet), including provisioning, permissions, and workflow configuration., • Document systems, configurations, and standard operating procedures to support consistency and knowledge continuity., • Monitor for security vulnerabilities and compliance gaps across the environment and recommend remediation., • Provide tier 2/3 technical support and act as an escalation point for internal IT issues., • Assist the Director in handling ad-hoc technology requests and projects as required Required Experience and Skills: • 3-6 years of experience in a systems engineer, systems administrator, or IT infrastructure role., • Hands-on administration experience with Microsoft 365, including SharePoint Online, Exchange Online, and Intune., • Experience with Microsoft Entra ID (Azure AD), including conditional access, SSO, and identity lifecycle management., • Experience administering Jamf (or comparable Apple MDM) and Meraki (or comparable cloud-managed networking)., • Familiarity with SaaS collaboration platforms (Slack, Zoom, Smartsheet) at an administrative level., • Strong troubleshooting skills across identity, endpoint, network, and cloud application layers., • Ability to work independently in a fully remote environment and communicate clearly with a distributed team., • Preferred Experience and Skills:, • Experience with Druva inSync or another enterprise SaaS/endpoint backup platform., • Relevant certifications such as Microsoft 365 Certified: Endpoint Administrator, Modern Desktop Administrator, or Security Administrator Associate; Jamf Certified Associate; or Cisco Meraki certifications., • Experience supporting a professional services or consulting firm environment in a remote role., • Scripting/automation experience (PowerShell, Graph API, or similar) to streamline recurring administrative tasks., • Strong documentation habits and a proactive approach to identifying and closing gaps., • Exposure to security frameworks or compliance requirements relevant to professional services firms., • Understanding of physical security physical access control systems and video management systems

Who Is InRhythm? InRhythm is a leading modern product consultancy and digital innovation firm with a mission to make a dent in the digital economy. Founded in 2002, InRhythm is currently engaged by Fortune 50 enterprises to bring their next generation of digital products and platforms to market. InRhythm has helped hundreds of teams launch mission-critical products that have created a positive impact worth billions of dollars. InRhythm's unique capabilities in Product Innovation and Platform Modernization are among the most sought-after. The InRhythm team of A+ thought leaders don't just "get an assignment"; they join the company to do what they love. That passion has helped us grow rapidly and consistently deliver on our commitment to helping clients develop better, faster, and in rhythm. What We Do At InRhythm We bring enterprises' most urgent, important products to market with high velocity, high quality, and 10x impact. We enable innovative cultures by coaching teams with the right mix and maturity of modern tools, methods, and thought leadership. This is a unique opportunity to get in on the ground floor of an evolving, AI-native team. InRhythm clients include a broad range of highly visible and recognizable customers, including, but not limited to: • Goldman Sachs, • Fidelity, • Morgan Stanley, • Mastercard From greenfield to tier-one builds, our clients look to us to deliver mission-critical projects in product strategy, design, cloud-native applications, and mobile and web development. Increasingly, we deliver them through AI-native engineering, where agents, reusable skills, and GenAI tooling are part of how software gets built, not an add-on. We Are Looking For a Senior Java AI-Enabled Engineer As a Senior Java AI-Enabled Engineer, you will join a fully AI-native pod to design and build high-performance Java services for large enterprise clients, while pioneering AI-assisted engineering workflows. You won't just use AI tools. You will build reusable skills, orchestrate agents to handle boilerplate, and show the team and our clients what AI-accelerated delivery looks like in practice. This is an opportunity to review an already-built library of 500+ reusable AI skills, where you will both draw on it and add to it. At InRhythm, you will: • Work on a high-velocity, AI-native scrum team, • Develop and own features end to end in Java and Spring Boot, from design through production, • Architect and implement scalable, high-throughput Java applications and integration middleware, • Create, refine, and share AI skills that capture team best practices, and use existing skills to accelerate delivery, • Use AI agents to handle boilerplate and repetitive engineering work, freeing the team for higher-value design and problem solving, • Demonstrate AI value to teammates and clients through live demos, measurable cycle-time gains, and clear before/after comparisons, • Maintain 90% unit and integration test coverage using AI-generated testing frameworks, • Optimize code review latency with AI-generated summaries and risk flags, • Work with clients to turn real-world problems into solutions, acting as a trusted advisor rather than just an implementer, • Provide estimates and milestones for features and stories, • Help the team lead facilitate development processes, • Work with your mentor to learn and grow, and mentor less experienced engineers, • Contribute to the growth of InRhythm through interviewing and architecting What You Bring to the Table (Core Requirements) • 5–8 years of Java development building and shipping production-grade applications within an enterprise-level domain, • Strong Java skills: Java 8 (11+ preferred), including lambda expressions, Stream API, CompletableFuture, asynchronous programming, and multithreading, • Deep experience with Spring and Spring Boot, including implementing APIs and microservices, • Direct experience using GenAI tooling (e.g., Claude Code, GitHub Copilot, Amazon Q) in a professional engineering environment, • Hands-on experience creating and using AI skills (reusable, packaged instructions and workflows) and directing AI agents to generate boilerplate and automate routine engineering tasks, • Proven ability to drive high test coverage and automated quality, with a track record of zero critical defects and clean code reviews, • Solid understanding of relational databases and SQL, • Experience with systems design, CI/CD pipelines, and production operations at the service level, • Cloud computing experience, preferably AWS, • Solid verbal and written communication and consultant/client-facing skills are a must. As a true consultant, you are a self-starter who takes initiative. What Makes You Stand Out From the Pack • You can demo AI value live: a working example of how skills and agents cut cycle time on real engineering work, • A history of building and sharing reusable skills, prompts, or agent workflows that other engineers adopted, • Node.js or JavaScript experience alongside Java, • Familiarity with distributed systems and high-throughput integration patterns, • Experience with Elasticsearch, including indexing, search, and query performance optimization, • Credit card, financial services, or retail transaction-processing experience, • Mature server development experience and deep knowledge of frameworks, preferably Spring, • Enterprise experience building enterprise products, experience working with a remote team, and being an avid practitioner of your craft, • You have pushed code into production and deployed multiple products to market, but miss the visibility of a small team within a large enterprise technology environment, • You enjoy coaching junior engineers but want to remain hands-on with code, • Open to working all 5 days per week from the office The InRhythm Consultant • Strategic thinking: Sees beyond the immediate technical requirement to business impact, • Client partnership: Builds trust and acts as a trusted advisor, • Adaptability: Thrives in ambiguous environments and diverse client cultures, • Communication excellence: Translates technical concepts for various stakeholder levels, • Ownership mindset: Takes responsibility for outcomes, not just deliverables, • Continuous learning: Stays current with technology trends, especially in AI, and industry best practices Why Be an InRhythmer? People at InRhythm are entrepreneurs and innovators at heart, and problem solvers who find new ways to overcome challenges. InRhythm continues to evolve and grow, and is now prepared to accelerate "scale" with the addition of this role to our community. We've been named an Inc. 5000 Hall of Fame Fastest Growing Company for 9 years, a Deloitte Fast 500 company for 5 years, and a Consulting Magazine Fastest Growing Company winner several years in a row. If you're looking forward to working with awesome colleagues in a high-growth environment and tight-knit community, we're looking forward to hearing from you. At InRhythm we believe in building a better workplace. When you join our team, you can expect: • Comprehensive and customizable Medical, Dental, and Vision Plans, • 401(k) Matching, • Paid Parental Leave, • Scalable PTO

Jersey City, NJ — Hybrid (3 Days Onsite) Contract to Hire W2 Only — No Third Parties 1 8+ Years Experience Azure Databricks, Python, PySpark, SQL This role is responsible for designing, developing, and deploying cloud data solutions as part of a broader cyber data initiative focused on building out a security and risk data platform for Information Security. The engineer will develop data feeds and contribute to the buildout of a Cybersecurity Data Lake — centralizing data and establishing effective data governance around data sources and lineage using Databricks. This individual will collaborate with developers, data owners, governance leads, and business analysts across IT and aligned application stakeholders. ? Critical Requirements • Financial services or similarly regulated environment experience strongly preferred Responsibilities • Design, develop, test, and support cloud data solutions focusing on data ingestion, data quality, tuning, and performance of upstream cybersecurity data sources using Databricks, • Provide indirect leadership and mentorship to junior team members; lead data feed development efforts and design initiatives, • Participate in development meetings to align priorities and objectives, assign tasks, and share experiences across applications under development, • Consult with technology and development teams to coordinate integration of applications within the broader software ecosystem, • Capture and document metadata for Key Data Elements (KDEs) to ensure accuracy and completeness for Data Quality (DQ) rules and daily dataset processing, • Work with the data architecture team to align KDEs to logical data models, develop physical data structures, and document physical data names, definitions, and types, • Partner with data owners and stakeholders to create technical requirements and DQ rules around data elements needed in the data warehouse, • Partner with Business Management and Data Owners to identify critical metrics and data fields required for metric dashboards, • Establish views to encapsulate data for downstream consumption and ensure alignment with DQ rules established on metadata, • Utilize IBM TWS production job scheduling and adhere to standards around daily scheduling and batch monitoring of production jobs, • Identify and resolve data quality issues including inaccuracies and incomplete information; implement improved procedures and processes Qualifications & Skills Azure & Cloud Platform Azure Databricks & Unity Catalog Azure Data Factory Azure Data Lake Storage Azure Functions Azure Event Grid Azure Log Analytics & Monitor Development & Data Engineering Python / Java SQL Server, Oracle / PL-SQL, T-SQL ETL / ELT REST API & Microservices CI/CD — Git, Jenkins, Azure DevOps Collibra DQIM/DQE, IBM Infosphere DA Security Domain & Compliance • Strong knowledge of enterprise Information Security data domains: Phishing, Identity Management, Privileged Access, Cloud Security, Incident Response, Vulnerability Management, and Threat Detection, • Data knowledge of PaaS/SaaS products including ServiceNow, CrowdStrike, MS Purview, Proofpoint, WIZ.IO, JIRA, SharePoint, and Azure Active Directory, • Understanding of information security frameworks (NIST, CIS, CRI Profile) and regulatory compliance (NYSDFS, GDPR, CCPA) ? Nice to Have • Knowledge of Microsoft Sentinel for SIEM, • Knowledge of IBM Tivoli Workload Scheduler, • Exposure to Power BI for data visualization and reporting

The Opportunity Crye is growing fast, and every product we ship starts with the right materials arriving on time. We're looking for a Purchasing Agent to own the day-to-day execution of our purchasing team: placing and tracking POs, keeping suppliers on schedule, and making sure the paperwork, freight and inventory records behind every order are complete and correct. This is a hands-on role for someone who is organized, persistent and quick; who follows up before being asked, catches the discrepancy others miss, and keeps Production informed. You'll work in NetSuite every day, put modern tools, including AI, to work, and learn the sourcing side of a fast-moving defense manufacturer. If you like closing loops, you're likely a good candidate. Job Responsibilities The Purchasing Agent is responsible for: • Placing POs for Facilities, Product Development, Engineering and other departments with correct GL coding; reordering printed goods and packaging, • Following up on open orders: confirming ship dates, maintaining the open order/ship date tracker, and updating Production on material status, • Vendor and AP administration: new vendor setup, credit applications, tax exemption certificates, 3-way matching, clearing statements and credit holds, • Securing freight quotes and pickups, tracking inbound shipments and exceptions, filing freight/damage claims, and shipping outbound samples, • Filling sewing subcontractor material requests, tracking issued material, and reconciling contractor WIP reports against open orders, • Obtaining and filing mill certifications, CoCs and lab test reports for every PO/lot, and chasing missing paperwork, • Sending standard RFQs and compiling replies; requesting swatches and sample yardage; routing label artwork proofs between designers and printers, • Routing shade bands, lab dips and first-article submissions to the Production and Quality Assurance teams, • Preparing prepayment, wire and proforma requests; checking subcontractor invoices against aging reports for manager approval, • Processing return authorizations and scrap/seconds paperwork; coordinating outside-processing jobs, • Running daily shipment, stock and subcontractor stock reports in NetSuite, and flagging discrepancies and material delays early Required Experience & Qualifications • 4+ years in purchasing, procurement, supply chain or materials coordination; manufacturing, sewn products or apparel strongly preferred, • Working knowledge of the full PO lifecycle: requisition, PO, receipt, 3-way match, and vendor/AP documentation, • Hands-on ERP experience (NetSuite preferred) and strong Excel (lookups, pivot tables); quick to learn new systems, • Highly organized and detail-oriented, with a record of accurate data entry and record-keeping across many open orders at once, • Persistent, professional follow-up with suppliers by email and phone; responsive, clear written and verbal communicator, • Familiarity with freight and logistics (parcel, LTL, international inbound) and basic textile terminology a plus, • Enthusiastic daily user of AI and automation tools, • Exposure to Berry Amendment, certificates of conformance or government contracting a plus The salary range for this position is between $70k - $80k. The Company Crye Precision has been designing and manufacturing apparel and equipment for America's fighting forces, allied militaries, and domestic and international law enforcement for over 25 years. We work hard to provide smart, high-performance, long-wearing gear for people who demand the best. We design, engineer and manufacture our products here in the USA, with a team of more than 200 at our headquarters in the historic Brooklyn Navy Yard, and are expanding our footprint to serve our allies abroad. Equal Employment Opportunity Crye Precision LLC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, gender, gender identity or expression, sexual orientation, pregnancy, childbirth, or breastfeeding, sexual and reproductive health decisions, age, national origin, ancestry, citizenship or immigration status, marital, civil union, domestic partnership, or caregiver status, familial status, height, weight, unemployment status, credit history, military or uniformed service, liability for service in the Armed Forces, protected veteran status, disability, predisposing genetic characteristics or genetic information, atypical hereditary cellular or blood trait, status as a victim of domestic violence, stalking, or sex offenses, or any other characteristic protected by applicable federal, state, or local law. All qualified applicants will receive consideration for employment without regard to their protected veteran status, and will not be discriminated against on the basis of disability.

THIRD-PARTY AGENCIES: PLEASE DO NOT CONTACT US REGARDING THIS POSITION. About The Malwin Company The Malwin Company is an aerospace and defense enterprise that brings together specialized engineering, manufacturing, and technology capabilities under one organization. Our teams design, develop, manufacture, and support highly specialized products and solutions for demanding aerospace, defense, and industrial applications. We combine deep technical expertise with shared resources, broader opportunities, and an enterprise-wide approach to growth, creating an environment where specialized teams can do their best work while contributing to a larger mission. Position Summary We are seeking a Senior Electrical Engineer to design, develop, and sustain the electrical and electronic systems within analog electromechanical avionics instruments. The role centers on analog circuit design, electromechanical interfaces, hands-on lab and production support for aerospace instrumentation, with responsibility for design documentation, qualification testing, and cross-functional problem solving. All work is performed within an AS9100D-certified quality management system. Key Responsibilities • Design, analyze, test, and troubleshoot electrical circuits for electromechanical avionics instruments., • Work on analog signal conditioning, power conversion, motor drive circuits, resolver/synchro interfaces, sensor interfaces, lighting circuits, and control electronics., • Support electrical design for instruments such as altimeters, HSIs, cockpit indicators, gauges, and related aircraft analog instruments., • Develop and maintain schematics, wiring diagrams, cable drawings, PCB documentation, BOMs, and engineering change documentation., • Perform component selection for aerospace-grade applications, including resistors, capacitors, transformers, motors, synchros, resolvers, sensors, connectors, relays, lamps/LEDs, and protection devices., • Support integration of electrical assemblies with mechanical systems such as pointer mechanisms, gear trains, motors, dials, lighting assemblies, and instrument housings., • Troubleshoot production, qualification, and field-return issues at board, wiring, component, and full-instrument levels., • Use lab equipment such as oscilloscopes, multimeters, signal generators, power supplies, LCR meters, and environmental test equipment., • Support qualification, acceptance, and reliability testing, including temperature, vibration, shock, altitude, humidity, EMI/EMC, and electrical performance testing., • Develop test procedures, calibration procedures, and engineering reports., • Work with manufacturing, quality, purchasing, and suppliers to resolve electrical and electromechanical issues., • Mentor junior engineers and technicians as needed., • Perform all design, documentation, and test activities in compliance with the company's AS9100D quality management system. Required Qualifications • Bachelor's degree in Electrical Engineering or related field (Master's/Phd a plus)., • 5–10 years of experience in analog circuit design, preferably in aerospace, defense, or precision instrumentation., • Strong analog fundamentals: op-amp circuits, feedback and stability analysis, filters, precision references, transformers, and magnetics., • Hands-on experience with synchros, resolvers, sensors, motors, and motor drive/servo circuits., • Proficiency with schematic capture and PCB documentation tools (KiCad, Altium, OrCAD, or equivalent)., • Skilled bench engineer: oscilloscopes, multimeters, signal generators, power supplies, and LCR meters., • Experience reading and working from legacy schematics, military specifications, and OEM technical documentation., • Strong documentation and communication skills, including test procedures and engineering reports., • Working knowledge of digital instruments and analog-to-digital conversion (ADCs, sampling, signal digitization, and mixed-signal interfaces)., • Eagerness and ability to learn new technologies, tools, and instrument platforms. Preferred Qualifications • Direct experience with analog flight instruments or instrument repair/overhaul environments., • Familiarity with environmental and EMI/EMC qualification testing (e.g., RTCA DO-160, MIL-STD-461) and aircraft power standards (e.g., MIL-STD-704)., • Knowledge of AS9100D quality systems, configuration management, and ESD program compliance (ANSI/ESD S20.20)., • Experience supporting defense or aerospace customers and working with government source data, CAGE codes, and NSN sourcing.

Please share your resume to suman.dabbeta@yoh.com Suman Dabbeta | Sr. Recruiter | Yoh https://www.linkedin.com/in/sumandabbeta/ local to NJ/NJ/CT only Looking for SME for this role Open for 3rd party resumes - C2C *In-Person interview* Hybird role* Top 5 must haves: Senior Level • Python, • Airflow/DBT, • Communication, both written & Verbal Kubernetes the role requires hands-on experience with DBT and Apache Airflow deployed on Kubernetes, specifically within an on-prem OpenShift environment. Given these requirements, we are looking for someone with deeper, practical experience in DBT and Airflow within Kubernetes-based, on-prem environments. • If background is predominantly on GCP, and while this is valuable, we are currently more conservative with cloud-native platforms. This position involves closer interaction with infrastructure, including Kubernetes operations, Airflow design and implementation, and hands-on dbt model development in an on-prem setup. Contract Senior Data Engineer – Airflow, DBT Core, Kubernetes/OpenShift - Hybrid Onsite in Jersey City, NJ Location: Jersey City, NJ // Hybrid: 3 days a week • MUST HAVE HANDS ON Apache Airflow DAG development, dbt Core, Kubernetes, on-prem OpenShift experience MUST HAVE SKILLS • 10+ years of professional experience in data engineering, designing and supporting enterprise-scale data platforms in production environments, • The role requires hands-on experience with DBT and Apache Airflow deployed on Kubernetes, specifically within an on-prem OpenShift environment., • This position involves closer interaction with infrastructure, including Kubernetes operations, Airflow design and implementation, and hands-on dbt model development in an on-prem setup., • Given these requirements, we are looking for someone with deeper, practical experience in dbt and Airflow within Kubernetes-based, on-prem environments. Job Summary: We are seeking a highly skilled Senior Data Engineer with 8-10+ years of hands-on experience in enterprise data engineering, including deep expertise in Apache Airflow DAG development, dbt Core modeling and implementation, and cloud-native container platforms (Kubernetes / OpenShift). This role is critical to building, operating, and optimizing scalable data pipelines that support financial and accounting platforms, including enterprise system migrations and high-volume data processing workloads. The ideal candidate will have extensive hands-on experience in workflow orchestration, data modeling, performance tuning, and distributed workload management in containerized environments. Estimated Min Rate: $56.00 Estimated Max Rate: $80.00 What’s In It for You? We welcome you to be a part of the largest and legendary global staffing companies to meet your career aspirations. Yoh’s network of client companies has been employing professionals like you for over 65 years in the U.S., UK and Canada. Join Yoh’s extensive talent community that will provide you with access to Yoh’s vast network of opportunities and gain access to this exclusive opportunity available to you. Benefit eligibility is in accordance with applicable laws and client requirements. Benefits include: • Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week), • Health Savings Account (HSA) (for employees working 20+ hours per week), • Life & Disability Insurance (for employees working 20+ hours per week), • MetLife Voluntary Benefits, • Employee Assistance Program (EAP), • 401K Retirement Savings Plan, • Direct Deposit & weekly epayroll, • Referral Bonus Programs, • Certification and training opportunities Note: Any pay ranges displayed are estimations. 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About the Company Our client, an industry leading manufacturer of precision metal and steel components, has an immediate need for an experienced Senior Project Engineer – Nuclear, to join their winning team in Springfield. About the Role Our candidate of choice will be accountable to plan, direct, manage and coordinate all engineering functions related to design, and development of fluid flow components specifically exposure to valve design in nuclear industry and modifications of existing product line for manufacturing and customer requirements. You will support design, production, planning, quality, delivery schedule and other company functions to enable successful production. Responsibilities • Review customer technical specification, Valve data sheet and select the valve model from existing valve data bank or design new valve. Is primary individual responsible for technical performance of product., • Review and comment on customer requested design changes if they have any., • Assist and advise the Chief Engineer regarding technical information pertaining to customer specifications on new orders., • Prepare detail component drawings, bill of material, test procedure, test report, OMM and perform other support functions in order to meet deadlines, commitments and manufacturing. Whenever possible, modify existing parts to speed process., • Prepare and release all the drawings and other documents required prior to formal release to production., • Produce operability calculations to ensure compliance with customer specifications/requests. This is accomplished by static analysis of the valve, keeping in mind force balance, considering pressure forces, spring forces, coil forces, and seismic forces., • Must have excellent analytical skills and be able prepare ASME code Design Report using Mathcad software., • Prepare and release commercial grade dedication (CGD) documents defining critical characteristics of valve components., • During the production stage, as required, provide support in such areas as MRR’s (material rejection report), repairs, assembly, and testing operations., • Perform liaison having to do with providing technical information to purchasing, production, and any other support departments on matters dealing with procurement of special material, specifications, available sources, subcontracting, and troubleshooting., • Support other engineers in groups, quality engineers, test engineers and production lab personnel on valve design so that they can become familiar with the design expectations and documentation of the unit., • Work within the team to ensure accurate and timely response to customer requirements., • Performs additional duties as needed., • Keep well informed on new developments in the engineering field through contact with educational institutions, professional societies, manufacturers and trade shows, perusal of texts, technical papers, journals, and periodicals. Qualifications • BSME with PE License., • Additional schooling – master’s degree in mechanical engineering is preferred. Required Skills • Valve design and electrical component training is a definite plus., • Five years’ design experience of fluid flow components including minimum three years of valve design in nuclear industry, with a demonstrated ability to design develop and prove new concepts and modification of existing products., • General knowledge of ASME Section III Codes, ASME/ASTM material for valves in Nuclear Industry and awareness with some military standards., • Familiar with ANSI B16.34, B31-1, and B31.3 valve design standards., • Strong understanding of geometric tolerance techniques based on ANSI Y14.5M., • Knowledge of CSA N285.0 Canadian standards., • Experience with commercial grade dedication (CGD), appendix-B, and part 21 for Nuclear Industry is required., • Basic knowledge of stress analysis and ASME code formula to prepare valve design reports., • Strong analytical skills and attention to detail are must., • Mathcad software would be a benefit., • Acquainted with EPICOR system., • Working knowledge of PC based CAD system (by choice – SOLIDWORKS). Preferred Skills • Valve design and electrical component training is a definite plus., • Mathcad software would be a benefit., • Acquainted with EPICOR system., • Working knowledge of PC based CAD system (by choice – SOLIDWORKS). Pay range and compensation package • Compensation: 120000.-150000. / Annually, • Benefit Offered: YES Equal Opportunity Statement Our client is committed to providing equal employment opportunities to all employees and applicants for employment and to creating an inclusive work environment that values diversity. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

We are hiring an AWS Cloud Migration Engineer to move our on-premises VMware estate to native Amazon EC2, using AWS Application Migration Service (MGN). You will join a small core migration team for a 20-week program covering about 100 Windows and Linux VMs. You will run the hands-on work: replication, test launches, cutovers and post-migration tuning. You will work closely with the cloud architect, network and security engineers, and application owners. Reports to: Migration Project Manager (day to day) and Cloud Architect (technical direction). Team: Cloud architect, 2 migration engineers, network engineer, security engineer, DBA, and application owners per wave. Key responsibilities You will own the technical execution of each migration wave, from discovery data through to a stable workload on EC2. Discovery and assessment • Run AWS Application Discovery Service collectors or Export for vCenter to gather inventory and utilization data, • Help map server and application dependencies and group VMs into move groups, • Check guest OS compatibility with MGN and flag unsupported systems, • Right-size VMs to EC2 instance types and EBS volume types using real utilization data Landing zone and setup • Work with the architect to build VPCs, subnets and security groups, including the MGN staging subnet, • Initialize MGN and configure replication settings and launch templates, • Validate network paths from source VMs to AWS (TCP 443 and 1500) Migration execution • Install and manage MGN replication agents on Windows and Linux VMs, • Monitor replication health, lag and bandwidth; fix stalled or failing replication, • Launch test instances and support application owners through UAT, • Run cutovers to a timed runbook, including DNS and load balancer changes with the network team, • Build post-launch actions: remove VMware Tools, install SSM and CloudWatch agents, apply configuration, • Execute rollbacks when a go/no-go decision requires it Post-migration • Support hypercare: troubleshoot performance, connectivity and application issues on EC2, • Set up backups (AWS Backup), monitoring and alerts (CloudWatch), and patching (Systems Manager), • Tune instance sizes and storage to cut cost without hurting performance, • Clean up staging resources, snapshots and decommissioned source VMs Documentation and handover • Write and keep runbooks, wave records and as-built documentation current, • Automate repeatable steps with scripts or infrastructure as code, • Hand over migrated workloads to the operations team with clear support notes Required qualifications We need someone who has already moved production workloads from VMware to AWS and knows both sides well. • 4+ years in infrastructure or systems engineering, with 2+ years hands-on with AWS, • Completed at least one VMware-to-AWS migration of 20+ VMs, using AWS MGN or CloudEndure Migration, • Strong VMware vSphere and vCenter knowledge: VM configuration, storage, networking and VMware Tools, • Solid Amazon EC2, EBS, VPC, IAM and security group skills, • Administration of both Windows Server and Linux (RHEL, Ubuntu or similar), • Networking fundamentals: TCP/IP, subnets, routing, DNS, firewalls, VPN or Direct Connect, • Scripting in PowerShell, Bash or Python to automate repeatable tasks, • Experience troubleshooting boot, driver and network issues on migrated servers, • Comfortable working in change windows, including planned weekend cutovers, • Clear written documentation and calm communication with application owners during incidents Preferred qualifications These skills are a strong plus but not required. • AWS Certified Solutions Architect – Associate or Professional, or AWS Certified SysOps Administrator, • VMware Certified Professional (VCP-DCV), • Experience with AWS Transform for VMware, AWS Migration Hub or Application Discovery Service, • Infrastructure as code with Terraform, AWS CloudFormation or AWS CDK, • AWS Control Tower, Organizations and multi-account landing zones, • AWS Systems Manager, AWS Backup and Amazon CloudWatch in production, • Active Directory in AWS (AWS Managed Microsoft AD or self-managed), • Database migration with AWS DMS, or SQL Server and Oracle on EC2, • Microsoft licensing on AWS (license-included vs BYOL), • Work on AWS Migration Acceleration Program (MAP) projects or at an AWS partner Pay range and compensation package • Compensation will be offered in line with current market standards and will be commensurate with the candidate's qualifications, skills, and relevant experience. Equal Opportunity Statement Aptimized is an Equal Opportunity Employer committed to fostering a diverse, equitable, and inclusive workplace. We make all employment decisions based on merit, qualifications, skills, experience, and business needs, without discrimination based on race, religion, gender, age, disability, sexual orientation, or any other characteristic protected by applicable law.