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AI Engineer 5 (MLXT) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 7+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting complex AI systems Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for AI Engineer 5 McLean, VA: $229,900 - $262,400 for AI Engineer 5 New York, NY: $250,800 - $286,200 for AI Engineer 5 San Francisco, CA: $250,800 - $286,200 for AI Engineer 5 San Jose, CA: $250,800 - $286,200 for AI Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada . click apply for full job details

AI Engineer 4 (MLX) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Francisco, CA: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 5 (MLXT) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 7+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting complex AI systems Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for AI Engineer 5 McLean, VA: $229,900 - $262,400 for AI Engineer 5 New York, NY: $250,800 - $286,200 for AI Engineer 5 San Francisco, CA: $250,800 - $286,200 for AI Engineer 5 San Jose, CA: $250,800 - $286,200 for AI Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada . click apply for full job details

Senior Manager, Machine Learning Engineer Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Machine Learning Engineer 5 McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5 San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5 San Jose, CA: $250,800 - $286,200 for Machine Learning Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Manager, Machine Learning Engineer Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Machine Learning Engineer 5 McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5 San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5 San Jose, CA: $250,800 - $286,200 for Machine Learning Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, 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) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Francisco, CA: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

COME JOIN MID-CONTINENT! "Where your work is valued-above-market pay, real work-life balance, and a team that feels like home." THE POSITION As a Software Certification Engineer , you will provide engineering and technical support in the evaluation and testing of existing and emerging technologies, systems, and capabilities. You will plan and implement the RTCA DO-178C and DO-254 lifecycle processes for avionics, power electronics, and battery systems. You'll verify complex microcontroller and FPGA designs to achieve coverage of functional and structural aspects. Product areas include cockpit displays and instruments, local and remote sensing, data conversion and storage, lithium battery management, AC/DC and DC/DC power conversion up to 8000W, in-seat power solutions, and various other components needed in aircraft systems. To be successful in this role, you'll need to provide expert analysis to meet the highest level of safety and reliability, implementing safety-critical software design processes. THIS POSITION MAY BE FOR YOU IF You have a bachelor's degree in computer engineering or related field You have a minimum of one year of experience with RTCA DO-178C or similar safety-critical software design process. You are proficient in C programming. You have the ability to work directly with target hardware, including lab bench equipment and other tools for debugging and analysis. You are proficient with Microsoft Office. You have strong attention to detail. You are organized, focused and results oriented. You are a problem-solver with critical thinking and prioritizing skills. You have excellent verbal, written and interpersonal communication skills. WE WOULD REALLY LIKE IT IF (but it's not a deal breaker) You have experience with C#, or Python languages for a PC application software. You have familiarity with VHDL and RTCA DO-254. You have familiarity with formal coding standards and safety-critical design considerations. WHAT YOU CAN EXPECT FROM ONE DAY TO THE NEXT Create and review design data within the software qualification lifecycle process. Practice safety-critical methods, create plans, requirements, design standards, coding standards, change tracking and verification, formal and functional verification Test and troubleshoot prototype and certified code on target hardware. Includes working in a lab bench environment with the necessary test equipment Design embedded software for microcontroller-based systems, as well as PC-based applications for verification and manufacturing Support software design using current tools, design environments and documentation methods Prototype and execute test programs to verify compliance with applicable performance, regulatory, and quality requirements WE ARE ONE OF THE BEST PLACES TO WORK We provide competitive pay and a comprehensive benefits package. We promote an environment where you can excel in your career while maintaining a healthy work-life balance. Our facility is climate controlled, clean, organized, and safe. We operate in a professional, light manufacturing environment. We believe anything worth doing is worth doing right - every time. We have frequent events to keep work interesting. Our food drive is super impressive, we enjoy an annual food truck fest appreciation day, monthly fruit/donut day, employee luncheons throughout the year, wellness challenges with incentives, and frequent ticket raffles for local sporting and cultural events. We have a small company feel - even though we're doing big things! WHO WE ARE Founded in 1964, Mid-Continent Instruments and Avionics provides superior instruments, avionics and power solutions to the global aerospace community. We operate one of the largest maintenance, overhaul and exchange programs in the world, and deliver safe and certified products, using innovative technologies and sophisticated clean sheet designs. At Mid-Continent Instruments and Avionics, we are committed to quality, service, integrity, and professionalism. Our employees serve the best customers from all over the world in general, business and commercial, advanced air mobility, defense and special missions markets. In this role, you'll be an important part of the reason our customers consider us a premier instrument, avionics, and aircraft power solutions provider. This job description is intended to describe the general nature and level of work performed and is not intended to be an exhaustive list of all responsibilities, duties and skills required. Actual compensation offered within the targeted salary range will be determined by factors such as job-related knowledge, skills, and experience. Compensation details: 00 Yearly Salary PIeb7f0cb72cc0-2601

Job description: We are seeking a Software Engineering Manager to lead a highly technical software organization developing complex, mission-critical systems. This role combines technical leadership, people management, and engineering strategy, with a strong emphasis on building high-performing teams and delivering reliable software. The ideal candidate is an experienced software engineer who has transitioned into leadership but remains technically engaged. Youll work closely with software leads and engineers to understand architectures, identify technical risks, challenge assumptions, and help teams make sound engineering decisionswithout taking ownership away from the experts closest to the work. This is an opportunity to shape people, technology, and engineering culture while working across a multidisciplinary organization. What Youll Do Lead & Develop Teams Lead, mentor, and develop software engineers and technical leads. Drive hiring, career development, performance management, and team growth. Build a culture of technical excellence, accountability, collaboration, and continuous improvement. Allocate engineering resources and develop staffing and capacity plans. Remove obstacles and give teams the resources and autonomy needed to succeed. Provide Technical Leadership Develop a strong understanding of the organizations software architecture, systems, and technical challenges. Engage directly in architecture and design discussions and constructively challenge technical decisions. Identify technical debt, architectural weaknesses, and risks affecting reliability, performance, and maintainability. Promote modern engineering practices, automation, testing, CI/CD, tooling, and software reuse. Help teams make effective tradeoffs between schedule, cost, performance, risk, and long-term maintainability. Lead a software engineering community of practice to share knowledge and establish consistent engineering standards. Drive Execution Ensure teams have clear plans, realistic estimates, appropriate resources, and measurable objectives. Maintain visibility into technical health, development progress, risks, and dependencies. Support project planning, resource management, proposals, estimates, and corrective actions. Collaborate Across Engineering Partner with Chief Engineers, Product Management, Product Assurance, and other engineering leaders. Coordinate software development with systems, electrical, mechanical, aerospace, test, manufacturing, and operations teams. Represent software engineering in organizational planning and technical leadership activities. What Were Looking For Bachelors degree in Computer Science, Software Engineering, Computer Engineering, Electrical Engineering, or a related technical field. 8+ years of professional software engineering experience developing complex systems. 2+ years leading software engineers or technical teams. Strong foundation in software architecture, system design, development, integration, debugging, and testing. Ability to understand complex systems at both the architectural and implementation levels. Experience with modern development practices, configuration management, automated testing, CI/CD, and software lifecycle management. Strong planning, estimation, resource management, prioritization, and communication skills. A leadership style built on technical credibility, curiosity, humility, and accountability. Ability to challenge ideas constructively, listen to opposing viewpoints, and change direction when the facts warrant it. Preferred Experience Software engineering management experience. Embedded, distributed, networked, or mission-critical software. Linux, C/C++, Python, web applications, containers, or related technologies. Multidisciplinary products involving software, electronics, communications, sensors, or physical systems. Why This Role This is a chance to have a meaningful impact at both the technical and organizational leveldeveloping exceptional engineers, influencing software architecture and engineering practices, and helping teams solve challenging problems without unnecessary bureaucracy. Were looking for a leader who is technical enough to earn the teams respect, humble enough to listen, and decisive enough to move the organization forward. Qualifications: What Were Looking For Bachelors degree in Computer Science, Software Engineering, Computer Engineering, Electrical Engineering, or a related technical field. 8+ years of professional software engineering experience developing complex systems. 2+ years leading software engineers or technical teams. Strong foundation in software architecture, system design, development, integration, debugging, and testing. Ability to understand complex systems at both the architectural and implementation levels. Experience with modern development practices, configuration management, automated testing, CI/CD, and software lifecycle management. Strong planning, estimation, resource management, prioritization, and communication skills. A leadership style built on technical credibility, curiosity, humility, and accountability. Ability to challenge ideas constructively, listen to opposing viewpoints, and change direction when the facts warrant it. Preferred Experience Software engineering management experience. Embedded, distributed, networked, or mission-critical software. Linux, C/C++, Python, web applications, containers, or related technologies. Multidisciplinary products involving software, electronics, communications, sensors, or physical systems. Why This Role This is a chance to have a meaningful impact at both the technical and organizational leveldeveloping exceptional engineers, influencing software architecture and engineering practices, and helping teams solve challenging problems without unnecessary bureaucracy. Were looking for a leader who is technical enough to earn the teams respect, humble enough to listen, and decisive enough to move the organization forward. Why is This a Great Opportunity: We are seeking a Software Engineering Manager to lead a highly technical software organization developing complex, mission-critical systems. This role combines technical leadership, people management, and engineering strategy, with a strong emphasis on building high-performing teams and delivering reliable software. Salary Type : Annual Salary Salary Min : $ 160000 Salary Max : $ 190000 Currency Type : USD

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

Job description: We are seeking a talented, tenacious, results driven individual to work in a multi-disciplinary R&D environment with likeminded motivated electrical engineers, mathematicians, and computer scientists who are collectively responsible for creating custom geolocation and digital communications systems in support of national security defense. Core responsibilities include creative problem solving, researching or inventing advanced geolocation algorithms, implementing them in efficient software, testing with real-world data, and deploying to front-line customer facilities. Our dynamic environment and diverse projects demand flexibility to learn new technologies quickly. Our personnel can expect to work across all functional areas: systems engineering, development, integration and test, deployment and O&M. Core responsibilities include: Design/architect, develop, test, deploy, and operate fully integrated software Design, build, and maintain infrastructure for modern integration between our applications and third-party services Collaborate extremely effectively with product managers, designers, other engineers, stakeholders, and vendors on projects within the team. Communicate technical ideas and work closely with other senior members of the team. You will also provide technical leadership and guidance to junior team members and mentor others to grow in their technical abilities. A key responsibility is staying up-to-date with the latest technologies, tools, and methodologies and experimenting with new technologies to incorporate innovative solutions into our projects. Our personnel can expect to work across all functional areas: systems engineering, development, integration and test, deployment and O&M, and experience the direct mission feedback from the customer and seeing your project provide real-world contributions that make a significant difference. Youre encouraged and expected to propose things that you believe will improve the applications and frameworks youre working in. The ability to work unsupervised with minimal direction and the ability to self-start is a must. What required background will make you successful? Expert knowledge of data structures, algorithms, and modern design patterns and data layers Expert knowledge of Golang Passion to build internal solutions and own development of enterprise-wide applications Extensive knowledge of building quality APIs for internal and external products Extensive experience integrating internal and third-party services into your solution Highly proficient in modern software engineering practices for testability and readability Demonstrated ability to design the architecture of software systems to ensure they achieve functionality, performance, scalability, and maintainability requirements Degree (Bachelor's, Master's, or PhD) in Computer Engineering or Computer Science Minimum 15 years' experience in software engineering-related discipline Active TS/SCI security clearance US CITIZENSHIP REQUIRED Preferred skills: Experience providing technical leadership and guidance to junior team member and mentoring other engineers to grow in their technical abilities Highly proficient in C++ and Python for engineering and scientific applications in LINUX environments Knowledge of cloud computing platforms like Amazon Web Services (AWS) Knowledge of Javascript and web technologies such as VueJS or React Experience automating workflows across the enterprise DevOps and Cloud computing Experience (Gitlab, CI/CD, CVE mitigations, Docker, Kubernetes, PIP) Agile development processes and leadership Full relocation provided Remote work/telework is not available for this position. Qualifications: What required background will make you successful? Expert knowledge of data structures, algorithms, and modern design patterns and data layers Expert knowledge of Golang Passion to build internal solutions and own development of enterprise-wide applications Extensive knowledge of building quality APIs for internal and external products Extensive experience integrating internal and third-party services into your solution Highly proficient in modern software engineering practices for testability and readability Demonstrated ability to design the architecture of software systems to ensure they achieve functionality, performance, scalability, and maintainability requirements Degree (Bachelor's, Master's, or PhD) in Computer Engineering or Computer Science Minimum 15 years' experience in software engineering-related discipline Active TS/SCI security clearance US CITIZENSHIP REQUIRED Preferred skills: Experience providing technical leadership and guidance to junior team member and mentoring other engineers to grow in their technical abilities Highly proficient in C++ and Python for engineering and scientific applications in LINUX environments Knowledge of cloud computing platforms like Amazon Web Services (AWS) Knowledge of Javascript and web technologies such as VueJS or React Experience automating workflows across the enterprise DevOps and Cloud computing Experience (Gitlab, CI/CD, CVE mitigations, Docker, Kubernetes, PIP) Agile development processes and leadership Full relocation provided Remote work/telework is not available for this position. Why is This a Great Opportunity: We are seeking a talented, tenacious, results driven individual to work in a multi-disciplinary R&D environment with likeminded motivated electrical engineers, mathematicians, and computer scientists who are collectively responsible for creating custom geolocation and digital communications systems in support of national security defense. Salary Type : Annual Salary Salary Min : $ 160000 Salary Max : $ 260000 Currency Type : USD

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

Your Mission HOERBIGER Safety Solutions, IEP Technologies (IEP) is seeking an Application Engineer to join our team in Marlborough, MA. This position drives the development and application of advanced explosion protection solutions for industrial manufacturing environments. This role combines engineering excellence, research, and industry engagement to advance the company's technical capabilities while supporting customers with innovative and scientifically validated safety solutions. The engineer will lead the development of explosion protection methodologies, perform advanced engineering analyses, contribute to industry standards, and represent the organization as a recognized technical expert. How you will make a difference Lead the development and validation of advanced explosion protection methodologies for combustible dust, gas, and hybrid mixture hazards. Perform Computational Fluid Dynamics (CFD) analysis and other engineering simulations to evaluate explosion behavior, venting effectiveness, suppression performance, and process safety risks. Serve as a technical subject matter expert supporting customer applications, product development, and complex hazard assessments. Participate in and contribute to industry governing bodies, technical committees, and standards organizations to help shape future explosion protection and process safety practices. Develop technical white papers, journal articles, application notes, and web content that strengthen the company's thought leadership and market presence. Represent the organization as a technical speaker at industry conferences, seminars, webinars, and customer training events worldwide. What you should be good at Technical Leadership Lead engineering studies related to explosion venting, suppression, isolation, containment, and combustible dust hazard mitigation. Develop analytical models and engineering methodologies to support product development and system performance validation. Conduct CFD simulations and interpret results to optimize safety system designs and support customer-specific applications. Provide technical guidance to engineering, sales, operations, and project management teams on complex applications. Research & Innovation Identify emerging technologies, regulatory trends, and industry best practices related to explosion protection and process safety. Lead or support internal research initiatives focused on improving safety technologies and engineering methods. Evaluate opportunities for intellectual property development, technical publications, and innovation projects. Industry Engagement & Thought Leadership Maintain active participation in relevant professional organizations and standards committees such as NFPA, ISO, ASTM, IEC, or similar industry bodies. Publish technical papers and application-focused content to educate customers and industry stakeholders. Present technical findings and company innovations at conferences, symposiums, customer workshops, and webinars Customer & Project Support Support complex customer projects through hazard analysis, system design review, and technical consultation. Collaborate with cross-functional teams to ensure solutions meet performance, regulatory, and safety requirements. Participate in customer visits, risk assessments, factory acceptance tests, and field evaluations as required. Qualifications Bachelor's degree in Mechanical Engineering, Chemical Engineering, Aerospace Engineering, Process Safety Engineering, or a related engineering discipline. Master of Science (M.Sc.) degree in an engineering discipline, or actively pursuing an M.Sc., strongly preferred. 5+ years of engineering experience in explosion protection, process safety, fluid dynamics, industrial safety systems, or a related technical field. Experience with CFD software and simulation-based engineering analysis. Strong technical writing skills with demonstrated ability to develop white papers, technical publications, and engineering reports. Excellent presentation and communication skills with the ability to effectively engage customers, industry groups, and technical audiences. Experience with combustible dust hazards, explosion venting, suppression, isolation, or fire and explosion risk assessment. Participation in professional societies or standards development organizations. Published technical papers, articles, or conference presentations. Knowledge of NFPA, ATEX, IECEx, OSHA, and related safety standards. Professional Engineer (PE) license or progress toward licensure is a plus. What you can look forward to Supportive Environment: A stable, team-based culture that values collaboration and innovation. Inclusive Workplace: Join a company committed to equity, diversity, and inclusion, fostering a culture of belonging. Professional Development: Educational assistance programs and opportunities for career growth. Comprehensive Benefits: Enjoy a robust benefits package, including medical/dental/vision insurance, short- and long-term disability and Life insurance and retirement plans with company matching. Competitive Pay: This is an exempt position with a starting pay range from $100,000 to $140,000 per year. Compensation will be based upon qualifications and experience. Work Location: This role is based at the IEP Technologies facility in Marlborough, MA. The role will work onsite five days per week, with the opportunity to transition to Hybrid (3 days onsite / 2 days remote) based on performance after six months. Local candidates are encouraged to apply; relocation benefits are not offered for this role. Who we are HOERBIGER Safety Solutions, IEP Technologies (IEP), based in Marlborough MA, designs explosion protection solutions, manufactures explosion prevention components, and supports customers with responsive service to prevent and/suppress industrial explosions. Join our global HOERBIGER team of over 6,000 colleagues and make a difference every day. Contribute to innovative solutions that save lives, reduce emissions, and drive progress in key industries like energy, automotive, and safety technology. Guided by our core values - Pioneering Spirit, Courage, Fairness, and Closeness - we are ENABLING CHANGE. FOR A BETTER TOMORROW. With opportunities to grow, learn, and collaborate across 43 countries and more than 133 locations, you'll be part of a culture that values your ideas and your impact. Ready to make a difference? Apply today and become part of our journey. HOERBIGER is an Equal Opportunity Employer • Drug Free Workplace • E-verify

Description: We are a family-oriented Midwest based company in Wisconsin, Minnesota, and Michigan. As a result of our growth, we have a need for an Application Engineer to utilize sales and technical capabilities to grow Crane business within an assigned market. Our mission is to help customers succeed. To achieve our mission, we've instilled a culture and environment that encourages new ideas, promotes experimentation, and inspires innovation. Crane Engineering team members impact the organization's success and are recognized for creating "WOW!" customer experiences. What You Get To Do Develops and maintains the product and application knowledge necessary to service internal and external customers within the assigned market. Supports and keeps sales and management staff informed of major projects; assists office and warehouse staff with application and product information. Provides customer and employee product training and sales call technical support. Provides technical sales and marketing support to Crane customers and staff. Provides the highest quality quotations possible for the specific application as outlined by the customer or Account Manager. Accurately prices, verifies contractual obligations, internal costs, agency sales and stock/drop-shipments. Develops the product and application knowledge necessary to service the needs of our customers and sales staff May perform other duties as assigned. Requirements: What We Need From You Bachelor's degree in a related engineering field preferred. Minimum of one-year related experience and/or training; or equivalent combination of education and experience. An engineering professional with appropriate industry/educational experience. A customer-service focused individual that successfully responds to technical and non-technical customer and employee inquiries. An ability to handle a varied and fast-paced workload to meet customer requirements for projects. A well-organized and self-directed team player. Ability to work with various computer programs including vendor-based software. We Are Winning When Our expectations are that team members demonstrate our Core Values. Integrity & Respect - Work with the highest ethical standards, interact openly and directly, honor our commitments and value diversity of styles, roles, and perspectives. Teamwork - Actively collaborate with others to solve problems and create opportunities. Devote ourselves to the team's and others' success. Customer Focus - Make customers the starting point for everything we do. Understanding what they want and expect from us will enable us to earn their loyalty. Excellence & Innovation - Continuously elevate our expertise and knowledge to strengthen our competitive advantage; and always look for ways to apply breakthrough ideas. Passion & Energy - Bring passion and energy to our work so that we are "energy givers", enabling us to own and pursue objectives in spite of obstacles and adversity. Fun! - Enjoy what we do and have fun with each other - celebrate a job well done "25% more fun". Benefits and Team Member Perks Positivity, cohesiveness and celebrating a job well done! Competitive compensation and benefits structure within a values-driven culture Work-life balance; generous paid time off program and ability to participate in Flexible Workplace arrangement Comprehensive health insurance coverage 401k with generous company match Intuitive health and wellness program that rewards participation Community involvement and volunteering opportunities Continuous learning through our talent learning management system - Crane University Apply today and join the team at: Crane Engineering is an equal opportunity and affirmative action employer. Qualified applicants will receive consideration for employment without regard to their race, color, religion, national origin, sex, protected veteran status, disability, or any other characteristic protected by law. Crane Engineering also participates in E-Verify to verify identity and employment eligibility. PI1453b26c64e1-3444

Job description: We are seeking an experienced and detail-oriented IT Manager - End User Enablement / Solutions Specialist - to oversee and optimize our organization's end user capabilities for the Hudson Tunnel Project (HTP). This is a once in a lifetime opportunity to contribute to this landmark project that is poised to deliver transformative impacts across economic, transportation, and environmental sustainability. This role is ideal for a seasoned IT professional with a strong background in user adoption, training and IT solutions, who is eager to lead, innovate, and ensure the reliability, security, and scalability of our systems. As an IT Manager - End User Enablement / Solutions Specialist, you will be focused on improving end-user productivity and adoption beyond break/fix support. Designs and implements solutions such as templates, automations, and collaboration patterns in Microsoft 365, SharePoint, PMIS, and related platforms. Runs enablement sessions, office hours, and targeted training for high-impact groups including project controls, field engineers, and CEC staff. What You'll Do: Drive enduser enablement programs, including training, onboarding sessions, and targeted adoption initiatives for key user groups. Design and implement productivity solutions such as templates, automations, workflows, and collaboration patterns across Microsoft 365, SharePoint, PMIS, and related platforms. Develop and maintain userfocused documentation, guides, knowledge articles, and bestpractice playbooks to support scalable adoption. Partner with crossfunctional teams to understand business needs and translate them into intuitive, usercentered technology solutions. Monitor system usage, adoption trends, and user feedback, identifying opportunities to improve usability, efficiency, and digital literacy. Ensure reliability, security, and compliance of enduser solutions while supporting continuous improvement across the IT environment. Qualifications: What You Bring Bachelor's degree in Information Technology, Information Systems, Computer Science, Business Technology, or a related field. 510+ years of experience in IT user enablement, digital adoption, or advanced IT solutions delivery. Hands-on experience with Microsoft 365, SharePoint, collaboration tools, workflow automation, and enterprise productivity platforms. Proven ability to design and deliver training, enablement programs, and user-centered technology solutions. Strong communication and facilitation skills, with the ability to engage technical and non-technical audiences. Experience working in complex, cross-functional environments, ideally within infrastructure, engineering, construction, or other large project settings. Attributes We Value Initiative: You take ownership and proactively drive progress. Growth Mindset: You embrace learning and continuous improvement. Ownership: You deliver high-quality outcomes from start to finish. Collaboration: You work effectively across teams and influence without direct authority. Why is This a Great Opportunity: You'll be joining a mission-driven organization at a pivotal moment. This role offers the chance to shape how thousands of users engage with modern technology while contributing to one of the most significant infrastructure projects in the region. You'll work with cutting-edge cloud platforms, collaborate with talented professionals, and help build an environment where people feel confident, capable, and empowered by the tools they use every day. If you're passionate about elevating user experience and driving meaningful impact, we'd be excited to welcome you to the team. Salary Type : Annual Salary Salary Min : $ 120000 Salary Max : $ 160000 Currency Type : USD

About Company: Hi This is About Company updated hello, this is company information About the Role: As a Java Developer, you will play a critical role in designing, developing, and maintaining high-quality Java applications that meet the evolving needs of our business and clients. You will collaborate closely with cross-functional teams including product managers, designers, and other developers to deliver scalable and efficient software solutions. Your expertise will contribute to the full software development lifecycle, from concept and design to testing and deployment. You will be responsible for writing clean, maintainable code and ensuring the performance, quality, and responsiveness of applications. Ultimately, your work will help drive innovation and improve user experience across our technology platforms. Minimum Qualifications: Bachelor's degree in Computer Science, Software Engineering, or a related field. Proven experience as a Java Developer or similar role with a strong portfolio of completed projects. Solid understanding of object-oriented programming and design patterns. Proficiency in core Java technologies including Java SE and Java EE. Experience with relational databases and SQL. Familiarity with version control systems such as Git. Strong problem-solving skills and attention to detail. Preferred Qualifications: Experience with modern Java frameworks such as Spring and Hibernate. Knowledge of RESTful API design and development. Familiarity with front-end technologies like JavaScript, HTML, and CSS. Experience with cloud platforms such as AWS, Azure, or Google Cloud. Understanding of containerization and orchestration tools like Docker and Kubernetes. Exposure to Agile development methodologies and continuous integration/continuous deployment (CI/CD) pipelines. Responsibilities: Develop, test, and deploy robust Java applications and services according to project requirements. Collaborate with team members to analyze user needs and software requirements to determine feasibility of design within time and cost constraints. Write well-designed, efficient, and reusable code following best practices and coding standards. Participate in code reviews, debugging, and troubleshooting to optimize application performance and resolve issues. Maintain and update existing applications to improve functionality and adapt to new technologies or business needs. Work closely with QA teams to ensure comprehensive test coverage and high-quality deliverables. Document development phases and monitor systems to ensure reliability and security. Skills: The required skills enable the developer to write efficient, maintainable, and scalable Java code that forms the backbone of our applications. Proficiency in Java and object-oriented principles ensures the developer can build robust software components and integrate them seamlessly. Knowledge of databases and SQL is essential for managing data persistence and retrieval effectively. Version control skills facilitate collaboration and code management within the development team. Preferred skills such as experience with frameworks, cloud services, and containerization enhance the developer's ability to build modern, flexible applications that can be deployed and scaled efficiently, while familiarity with Agile and CI/CD practices supports rapid and reliable software delivery.