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Lead Machine Learning Engineer (Manager IC) As a Capital One Machine Learning Engineer (MLE), you'll join an Agile team building and productionizing foundation models at scale. Our work centers on self-supervised learning for transformer architectures - pretraining on Capital One's rich, large-scale behavioral data to learn representations that power applications across use cases such as fraud, marketing, and servicing . You'll participate in the detailed technical design, development, and implementation of these systems, spanning model architecture, large-scale training and representation learning, and the engineering required to serve models reliably in production. You'll develop and review model and application code, drive machine learning architectural decisions, and ensure the high availability and performance of our applications. And you'll have the opportunity to continuously learn and apply the latest innovations in self-supervised learning, transformer modeling, and ML engineering best practices. 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 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 At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience building production-ready data pipelines that feed ML models 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 2+ years of experience developing performant, resilient, and maintainable code 2+ years of experience with data gathering and preparation for ML models 2+ years of people leader experience 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for Lead Machine Learning Engineer McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer San Jose, CA: $215,200 - $245,600 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Distinguished AI Engineer - Agentic AI Platform (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. Why this Role Matters: We are building an enterprise Generative AI Platform that lets dozens of product teams compose powerful, safe and explainable AI capabilities - without wrestling with model minutiae or infra plumbing. You will design the agentic workflow framework, shared services such as memory, guardrails, vector search, SDKs and blueprints that translate foundation model power into production grade applications used by millions of users across multiple lines of businesses. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 8 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 6 years of experience developing AI and ML algorithms or technologies At least 8 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 8+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns Experience as a Staff-plus or Distinguished IC engineer influencing 50+ engineers and C-suite stakeholders K8s mastery (multi-region clusters, sericie mesh) Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $269,100 - $307,200 for Distinguished AI Engineer McLean, VA: $269,100 - $307,200 for Distinguished AI Engineer New York, NY: $293,600 - $335,100 for Distinguished AI Engineer San Francisco, CA: $293,600 - $335,100 for Distinguished AI Engineer San Jose, CA: $293,600 - $335,100 for Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. . click apply for full job details

Senior Lead AI Engineer (MLXT) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. As a Senior Lead AI Engineer, you will drive critical technical initiatives that shape the future of enterprise AIML infrastructure targeted to transform the business analysis experience in a highly regulated environment. You will play a pivotal role in modernizing our core Analyst & AIML workflow orchestration layer and user interface, integrating frontier generative AI capabilities and self-serve tooling to enable no-code/low-code, well-governed model development for business domain experts. In this role, you will: Modernize Workflows: Advance the orchestration layer and UI with generative AI capabilities and self-serve tooling to democratize AI development through governed, low-code/no-code tools for business domain experts. Build Agentic-Driven Infrastructure: Modernize our platform services with agentic infrastructure that is reliable, scalable, secure, and seamlessly adheres to enterprise guardrails. Drive AutoML Innovation: Scale enterprise-grade managed AutoML offerings for tabular and time-series data to radically reduce solution time-to-market from weeks to days. Engineer AI-Driven Controls: Evolve the core component marketplace by engineering cutting-edge, automated governance frameworks The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior. Distinguished AI Engineer - Agentic AI Platform (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 10 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns K8s mastery (multi-region clusters, service mesh) Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation . click apply for full job details

Senior. Distinguished AI Engineer - Agentic AI Platform (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 10 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns K8s mastery (multi-region clusters, service mesh) Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation . click apply for full job details

Lead Machine Learning Engineer (Manager IC) As a Capital One Machine Learning Engineer (MLE), you'll join an Agile team building and productionizing foundation models at scale. Our work centers on self-supervised learning for transformer architectures - pretraining on Capital One's rich, large-scale behavioral data to learn representations that power applications across use cases such as fraud, marketing, and servicing . You'll participate in the detailed technical design, development, and implementation of these systems, spanning model architecture, large-scale training and representation learning, and the engineering required to serve models reliably in production. You'll develop and review model and application code, drive machine learning architectural decisions, and ensure the high availability and performance of our applications. And you'll have the opportunity to continuously learn and apply the latest innovations in self-supervised learning, transformer modeling, and ML engineering best practices. 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 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 At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience building production-ready data pipelines that feed ML models 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 2+ years of experience developing performant, resilient, and maintainable code 2+ years of experience with data gathering and preparation for ML models 2+ years of people leader experience 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for Lead Machine Learning Engineer McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer San Jose, CA: $215,200 - $245,600 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Ready to take on meaningful challenges and shape the next generation of mobility? Joining OPmobility means stepping into a global group with a purpose to keep people and goods moving safely, smarter, and sustainably everywhere. Contract Details : Job Title : IT Operation Engineer Type of contract : Long-term Expected Hiring Date : June 2026 Scope : Adrian site Responsibilities : Provide 1st level technical support and expertise to ensure the smooth operation of IT systems. Install, configure, maintain, improve and troubleshoot IT infrastructure systems, including servers, networks, backup, cabling, etc. Participate in the rollout and then provide support to maintain, troubleshoot, improve various IS applications including: O365, ERP, PLM, R&D, etc. Identify potential risks, develop mitigation plans, and promptly resolve any issues that arise during daily operation to minimize disruption of operation. Follow group IT standards and implement best practices for IT security and compliance. Act as liaison for IT system rollouts, maintaining seamless communication and collaboration with regional and Group-level stakeholders. Provide regular updates to the country/cluster IT manager and other relevant stakeholders. Develop, update and maintain proper operation documentation including contingency plans for local application systems and keep it up to date. Monitor and troubleshoot as first level for WAN infrastructure, open local ISP ticket and follow up for resolution, escalate to global operation team for issues beyond local capability, maintain an organized and clean cabling in server room and all IDFs. Manage data backups and recovery procedures for office and R&D data, including confidential financial, HR data, design and engineering data, etc. Participate and be the main point of contact in the Internal and External Audits (IATF, TISAX, CQA) for D&IS topics. Ideal Candidate Profile : Customer focus, delivery and result orientation. Consistency and reliability. Ability to plan and organize activities efficiently. Ability to identify and arrange priorities and deal with urgent situations. Teamwork, flexibility, and collaboration. Ability to work with multicultural teams. Excellent problem-solving abilities. Ability to work independently and as part of a team. Effective communication and interpersonal skills. Proficiency in IT operations, IT infrastructure administration, configuration, monitoring, and troubleshooting. Proficiency of common IT systems and applications used in office and R&D environment, like O365, Auto CAD, CATIA. etc. Proficiency in office network, datacenter climate control, cabling, WIFI, VLAN and IP management, etc. Proficiency in the local language(s) of the assigned country or cluster, and could be a plus if he speaks Spanish University degree or Engineering School with IT specialization or equivalent by experience. Windows Server 2019 and higher, Linux optional, Windows 11, VEEAM (Backups), VMware (Virtualization), CISCO Management and Administration, Industrial Printers, Industrial Scanners, Manufacturing systems Benefits : Access to different training portals used in OPmobility. Learn new applications for manufacturing systems (MES). Intercultural team. Interaction with different Business Groups, sites and countries Why choose this position? Several careers' opportunities in different positions per country and business group. At OPmobility, people truly matter. We are committed to building inclusive teams, promoting diversity and equality, and ensuring that every application is considered fairly - because the future of mobility is built by diverse perspectives, bold ideas, and people who dare to move forward. Innovation is therefore not a buzzword, but a natural part of everyday work. You'll grow in an international environment where cutting-edge technologies, industrial excellence, and real-world impact come together to tackle the challenges of tomorrow's automotive industry. Founded in 1946 by Pierre Burelle, OPmobility, known until 2024 as Plastic Omnium, has transformed itself into a player in sustainable and connected mobility. Today, OPmobility develops technological solutions across four areas of expertise: exterior and lighting systems, the integration of complex modules, technologies related to energy storage, hydrogen and electrification, and a division dedicated to the development of embedded software and digital solutions. With €11.5 billion in revenue in 2025, 152 factories, 40 R&D centers, and nearly 38,100 employees across 28 countries, OPmobility combines global scale with local impact. All driven by a shared ambition to accelerate the automotive energy transition.

This opportunity is for U.S. citizens who have served in the U.S. Armed Forces including Reserves, National Guard, and service member spouses. How would you like to be a part of Earth's most customer-centric company? You would work with teams of front-line responders who support the operations of some of the world's most powerful data centers. Our Data Center Engineering Operations team maintain and operate our critical infrastructure systems so that they are prepared to stand up against any situation. AWS has the world's largest cloud computing portfolio. As an Amazonian you will work in some of the most sophisticated, safe, and secure data centers in the world. Our Chief Engineers (CE) help keep them that way by working with the brightest minds from around the globe to help test and implement the newest technology and work practices to meet the demands of a changing market. We have a passion for learning and evolving, it's how we have helped define ourselves as leaders in the industry. Let's work hard, have fun, and make history! Key job responsibilities - Act as the primary escalation point for all facilities-related issues. Oversee operation and management of routine and emergency services on a variety of critical systems such as: switchgear, generators, UPS systems, power distribution equipment, chillers, cooling towers, computer room air handlers, building monitoring systems, etc. - Perform root cause analysis of equipment failures, and troubleshooting of facility within internal Service Level Agreements (SLA). - Provide training and guidance to Engineering Operations Technicians and responsible for working with Facility Manager (FM) to set team culture. - Create and deploy new standard practices for Engineering Operations Technicians, Chief Engineers, and vendor support teams - May assist in the build out of new facilities and assist in projects to increase current facility efficiency - Working outside of normal business hours for routine maintenance as required, including responding to out-of-hours emergency calls. - Communicate complex technical information to a non-technical audience. - Work with IT managers and other business leaders to coordinate projects, manage capacity, and optimize plant safety, performance, reliability and efficiency - Ensure all safety procedures are adhered to by vendor and Amazon staff - Establish building performance benchmarks, conduct analyses, and prepare reports on all aspects of the critical facility operations and maintenance. - Utilize Microsoft Excel, Word, Outlook and other basic administrative tools to perform day to day tasks Physical Requirements: Willingness and demonstrated ability to work in the following physical conditions with reasonable accommodations: - Regularly lift and/or move up to 39 pounds independently - Participate in group lifts for 40+ pounds - Maintain balance and perform construction tasks while on a ladder - Regularly walk, use hands and fingers, handle or feel, reach with hands and arms, stoop, kneel, crouch or crawl, climb stairs, twist, bend, work above shoulders, grasp, carry, push and pull objects into position - Work in an environment requiring provided ear protection A day in the life This role acts as Amazon's front line when it comes to hands-on electrical and mechanical equipment troubleshooting. They maintain, operate, and troubleshoot mission-critical data center facility equipment including electrical support equipment that supports servers that must maintain better than 99.999% uptime. Equipment will include but is not limited to stand-by diesel generators and related fuel systems, 3 phase electrical systems such as switchgear, UPS units, PDUs, and wet cell batteries and associated systems. Mechanical equipment includes CRAHU units, centrifugal chillers, cooling towers, water systems, air handlers and associated systems, pumps, and motors. Additional support equipment is included in the scope of the role which includes fire/life safety equipment, building automation systems, and general facilities equipment. The CE directs, trains and supports technicians in their role of providing hands-on electrical and mechanical equipment troubleshooting and operations. Implementation and execution of site/equipment-specific training exercises is also expected. They manage projects from conception to completion. These projects involve independent work as well as collaboration with external support groups including engineering, automation, processing, and finance in both local and global settings. The CE will be tasked with creating and delivering on key milestones, obtaining and tracking quotes for all necessary costs, and documenting project results for future implementation at other facilities. About the team AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. BASIC QUALIFICATIONS - 3+ years of Microsoft Office products and applications experience - 3+ years of mission critical facilities (example: hospital, military facility, public safety facility, etc.) experience including industrial electrical and mechanical systems - Experience with reading and writing procedures, technical documents, and engineering drawings PREFERRED QUALIFICATIONS - Experience in data center engineering or operations - Experience in construction or project management - Experience leading technical teams through daily operations and maintenance evolutions - Must be able to work in an environment that involves walking, stooping, bending, and climbing to access equipment. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, NV, Sparks - 96 300.00 USD annually

JLL empowers you to shape a brighter way. Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you've got deep experience in commercial real estate, skilled trades or technology, or you're looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. Swing Shift What this job involves: As a Critical Environments Operating Engineer at JLL, you'll be at the forefront of maintaining mission-critical data center infrastructure that powers the digital world. This role is essential to ensuring 100% uptime for our clients' most vital operations. You'll be responsible for the operation, monitoring, and maintenance of sophisticated electrical and mechanical systems including UPS, generators, cooling systems, and medium-voltage electrical infrastructure. Working in a fast-paced, high-stakes environment, you'll apply best practice systems and problem-solving skills to keep critical facilities running seamlessly 24/7. This position offers exceptional opportunities to work with cutting-edge technology while building a rewarding career in one of the industry's most dynamic and growing sectors. Why You'll Love This Role: Work with cutting-edge technology in a fast-growing industry Clear career advancement opportunities in critical infrastructure Be part of a team that literally keeps the digital world running What your day-to-day will look like: Operate and maintain all critical building systems to ensure 100% uptime, including fire/life safety, HVAC, chillers, CRAC/CRAH units, plumbing, controls, UPS systems, generators, switchgear, power distribution, and transformers Monitor, adjust, and maintain refrigeration, chilled water, air conditioning equipment, boilers, pumps, valves, piping, and electrical systems to ensure optimal performance Record equipment readings, analyze system operations, identify problems or malfunctions, and take immediate corrective action as required Manage work orders through CMMS, coordinate with vendors, and respond to customer-facing tickets in a timely and professional manner Learn and understand the data center infrastructure thoroughly to effectively manage incidents and events that could impact critical systems Comply with emergency escalation procedures and respond to site emergencies to protect critical operations Maintain safe storage, usage, and disposal of hazardous materials while keeping the workplace clean, organized, and compliant with all safety standards Required Qualifications 2+ years of hands-on experience working in a data center or critical facility environment Demonstrated experience with mission-critical building systems including UPS systems, emergency generators, switchgear, and power distribution equipment Strong verbal and written communication skills with the ability to document activities and communicate technical information clearly Working knowledge of computer applications including MS Office (Word, Excel, Outlook), Google Suite, and computerized maintenance management systems (CMMS) Physical ability to lift a minimum of 50 lbs, climb ladders up to 30 feet (300-lb weight limit), work at heights, and navigate rooftops Flexibility to work different schedules, including holidays, and respond to site emergencies as needed Ability to frequently walk, climb, bend, kneel, stoop, and work overhead in large campus-like settings Preferred Experience using Corrigo work order management system Universal EPA 608 certification for refrigerant handling NFPA 70E training for electrical safety in the workplace Experience with critical infrastructure in mission-critical or 24/7 operational environments Background in industrial controls, building automation systems (BAS), or energy management systems Previous experience in vendor management and contractor coordination Relevant trade certifications or technical training in electrical, mechanical, or HVAC systems This position does not provide visa sponsorship. Candidates must be authorized to work in the United States without sponsorship. Estimated compensation for this position: 70,464.00 - 88,080.00 USD per year This range is an estimate and actual compensation may differ. Final compensation packages are determined by various considerations including but not limited to candidate qualifications, location, market conditions, and internal considerations. Location: On-site -Eagan, MN If this job description resonates with you, we encourage you to apply, even if you don't meet all the requirements. We're interested in getting to know you and what you bring to the table! Personalized benefits that support personal well-being and growth: JLL recognizes the impact that the workplace can have on your wellness, so we offer a supportive culture and comprehensive benefits package that prioritizes mental, physical and emotional health. Some of these benefits may include: 401(k) plan with matching company contributions Comprehensive Medical, Dental & Vision Care Paid parental leave at 100% of salary Paid Time Off and Company Holidays Early access to earned wages through Daily Pay At JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you're pursuing. JLL Privacy Notice Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL's recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely. For more information about how JLL processes your personal data, please view our Candidate Privacy Statement . For additional details please see our career site pages for each country. For candidates in the United States, please see a full copy of our Equal Employment Opportunity policy here . Jones Lang LaSalle ("JLL") is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process - including the online application and/or overall selection process - you may email us at . This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL. Pursuant to the Arizona Civil Rights Act, criminal convictions are not an absolute bar to employment. Pursuant to Illinois Law, applicants are not obligated to disclose sealed or expunged records of conviction or arrest. Pursuant to Columbia, SC ordinance, this position is subject to a background check for any convictions directly related to its duties and responsibilities. Only job-related convictions will be considered and will not automatically disqualify the candidate. California Residents only If you are a California resident as defined in the California Consumer Privacy Act (CCPA) please view our Supplemental Privacy Statement which describes your rights and disclosures about your personal information. If you are viewing this on a mobile device you may want to view the CCPA version on a larger device. Pursuant to the Los Angeles Fair Chance Initiative for Hiring Ordinance, JLL will consider for employment all qualified Applicants, including those with Criminal Histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Accepting applications on an ongoing basis until candidate identified.

JLL empowers you to shape a brighter way. Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you've got deep experience in commercial real estate, skilled trades or technology, or you're looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. Critical Environments Operating Engineer What this job involves: As a Critical Environments Operating Engineer at JLL, you'll be at the forefront of maintaining mission-critical data center infrastructure that powers the digital world. This role is essential to ensuring 100% uptime for our clients' most vital operations. You'll be responsible for the operation, monitoring, and maintenance of sophisticated electrical and mechanical systems including UPS, generators, cooling systems, and medium-voltage electrical infrastructure. Working in a fast-paced, high-stakes environment, you'll apply best practice systems and problem-solving skills to keep critical facilities running seamlessly 24/7. This position offers exceptional opportunities to work with cutting-edge technology while building a rewarding career in one of the industry's most dynamic and growing sectors. Why You'll Love This Role: Work with cutting-edge technology in a fast-growing industry Clear career advancement opportunities in critical infrastructure Be part of a team that literally keeps the digital world running What your day-to-day will look like: Operate and maintain all critical building systems to ensure 100% uptime, including fire/life safety, HVAC, chillers, CRAC/CRAH units, plumbing, controls, UPS systems, generators, switchgear, power distribution, and transformers Monitor, adjust, and maintain refrigeration, chilled water, air conditioning equipment, boilers, pumps, valves, piping, and electrical systems to ensure optimal performance Record equipment readings, analyze system operations, identify problems or malfunctions, and take immediate corrective action as required Manage work orders through CMMS, coordinate with vendors, and respond to customer-facing tickets in a timely and professional manner Learn and understand the data center infrastructure thoroughly to effectively manage incidents and events that could impact critical systems Comply with emergency escalation procedures and respond to site emergencies to protect critical operations Maintain safe storage, usage, and disposal of hazardous materials while keeping the workplace clean, organized, and compliant with all safety standards Required Qualifications 2+ years of hands-on experience working in a data center or critical facility environment Demonstrated experience with mission-critical building systems including UPS systems, emergency generators, switchgear, and power distribution equipment Strong verbal and written communication skills with the ability to document activities and communicate technical information clearly Working knowledge of computer applications including MS Office (Word, Excel, Outlook), Google Suite, and computerized maintenance management systems (CMMS) Physical ability to lift a minimum of 50 lbs, climb ladders up to 30 feet (300-lb weight limit), work at heights, and navigate rooftops Flexibility to work different schedules, including holidays, and respond to site emergencies as needed Ability to frequently walk, climb, bend, kneel, stoop, and work overhead in large campus-like settings Preferred Experience using Corrigo work order management system Universal EPA 608 certification for refrigerant handling NFPA 70E training for electrical safety in the workplace Experience with critical infrastructure in mission-critical or 24/7 operational environments Background in industrial controls, building automation systems (BAS), or energy management systems Previous experience in vendor management and contractor coordination Relevant trade certifications or technical training in electrical, mechanical, or HVAC systems This position does not provide visa sponsorship. Candidates must be authorized to work in the United States without sponsorship. Location: On-site -Durham, NC, Raleigh, NC If this job description resonates with you, we encourage you to apply, even if you don't meet all the requirements. We're interested in getting to know you and what you bring to the table! Personalized benefits that support personal well-being and growth: JLL recognizes the impact that the workplace can have on your wellness, so we offer a supportive culture and comprehensive benefits package that prioritizes mental, physical and emotional health. Some of these benefits may include: 401(k) plan with matching company contributions Comprehensive Medical, Dental & Vision Care Paid parental leave at 100% of salary Paid Time Off and Company Holidays Early access to earned wages through Daily Pay At JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you're pursuing. JLL Privacy Notice Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL's recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely. For more information about how JLL processes your personal data, please view our Candidate Privacy Statement . For additional details please see our career site pages for each country. For candidates in the United States, please see a full copy of our Equal Employment Opportunity policy here . Jones Lang LaSalle ("JLL") is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process - including the online application and/or overall selection process - you may email us at . This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL. Accepting applications on an ongoing basis until candidate identified.

JLL empowers you to shape a brighter way. Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you've got deep experience in commercial real estate, skilled trades or technology, or you're looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. Critical Environments Operating Engineer - JLL What this job involves: As a Critical Environments Operating Engineer at JLL, you'll be at the forefront of maintaining mission-critical data center infrastructure that powers the digital world. This role is essential to ensuring 100% uptime for our clients' most vital operations. You'll be responsible for the operation, monitoring, and maintenance of sophisticated electrical and mechanical systems including UPS, generators, cooling systems, and medium-voltage electrical infrastructure. Working in a fast-paced, high-stakes environment, you'll apply best practice systems and problem-solving skills to keep critical facilities running seamlessly 24/7. This position offers exceptional opportunities to work with cutting-edge technology while building a rewarding career in one of the industry's most dynamic and growing sectors. What your day-to-day will look like: Operate and maintain all critical building systems to ensure 100% uptime, including fire/life safety, HVAC, chillers, CRAC/CRAH units, plumbing, controls, UPS systems, generators, switchgear, power distribution, and transformers Monitor, adjust, and maintain refrigeration, chilled water, air conditioning equipment, boilers, pumps, valves, piping, and electrical systems to ensure optimal performance Record equipment readings, analyze system operations, identify problems or malfunctions, and take immediate corrective action as required Manage work orders through CMMS, coordinate with vendors, and respond to customer-facing tickets in a timely and professional manner Learn and understand the data center infrastructure thoroughly to effectively manage incidents and events that could impact critical systems Comply with emergency escalation procedures and respond to site emergencies to protect critical operations Maintain safe storage, usage, and disposal of hazardous materials while keeping the workplace clean, organized, and compliant with all safety standards Required Qualifications: 2+ years of hands-on experience working in a data center or critical facility environment Demonstrated experience with mission-critical building systems including UPS systems, emergency generators, switchgear, and power distribution equipment Strong verbal and written communication skills with the ability to document activities and communicate technical information clearly Working knowledge of computer applications including MS Office (Word, Excel, Outlook), Google Suite, and computerized maintenance management systems (CMMS) Physical ability to lift a minimum of 50 lbs, climb ladders up to 30 feet (300-lb weight limit), work at heights, and navigate rooftops Flexibility to work different schedules, including holidays, and respond to site emergencies as needed Ability to frequently walk, climb, bend, kneel, stoop, and work overhead in large campus-like settings Preferred Qualifications: Experience using Corrigo work order management system Universal EPA 608 certification for refrigerant handling NFPA 70E training for electrical safety in the workplace Experience with critical infrastructure in mission-critical or 24/7 operational environments Background in industrial controls, building automation systems (BAS), or energy management systems Previous experience in vendor management and contractor coordination Relevant trade certifications or technical training in electrical, mechanical, or HVAC systems Why You'll Love This Role: Work with cutting-edge technology in a fast-growing industry Clear career advancement opportunities in critical infrastructure Be part of a team that literally keeps the digital world running Location: Onsite This position does not provide visa sponsorship. Candidates must be authorized to work in the United States without sponsorship. Location: On-site -Tempe, AZ If this job description resonates with you, we encourage you to apply, even if you don't meet all the requirements. We're interested in getting to know you and what you bring to the table! Personalized benefits that support personal well-being and growth: JLL recognizes the impact that the workplace can have on your wellness, so we offer a supportive culture and comprehensive benefits package that prioritizes mental, physical and emotional health. Some of these benefits may include: 401(k) plan with matching company contributions Comprehensive Medical, Dental & Vision Care Paid parental leave at 100% of salary Paid Time Off and Company Holidays Early access to earned wages through Daily Pay At JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you're pursuing. JLL Privacy Notice Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL's recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely. For more information about how JLL processes your personal data, please view our Candidate Privacy Statement . For additional details please see our career site pages for each country. For candidates in the United States, please see a fully copy of our Equal Employment Opportunity policy here . Jones Lang LaSalle ("JLL") is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process - including the online application and/or overall selection process - you may email us at . This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL. Pursuant to the Arizona Civil Rights Act, criminal convictions are not an absolute bar to employment. Pursuant to Illinois Law, applicants are not obligated to disclose sealed or expunged records of conviction or arrest. Pursuant to Columbia, SC ordinance, this position is subject to a background check for any convictions directly related to its duties and responsibilities. Only job-related convictions will be considered and will not automatically disqualify the candidate. Accepting applications on an ongoing basis until candidate identified.

This position supports hybrid work schedule depending on organization needs. Jabil is a leading product solutions provider offering end-to-end design, manufacturing, supply chain, and product management services. With operations in over 100 facilities across 30 countries, Jabil delivers innovative, integrated, and customized solutions to clients across diverse industries-including automotive, consumer lifestyle and wearables, defense and aerospace, smart home and building, industrial and energy, enterprise and infrastructure, healthcare, mobility, packaging, and printing. JOB SUMMARY Jabil is seeking a Manufacturing Test Development Manager to lead the development and deployment of large-scale production software systems supporting our Intelligent Infrastructure division. You will be applying unique and innovative approaches to solving problems within a large-scale manufacturing production environment. You and your team will be responsible for contributing to the end-to-end architecture, definition, development and production deployment of production software applications and infrastructure spanning multiple customers and manufacturing regions. You will also be responsible for interfacing with internal engineering, manufacturing and quality teams and our end customers to ensure your software deliverables meet the rigorous standards of Jabil's world-class manufacturing environments. This is not a traditional QA manager nor manual test role. This position is focused on leading teams that design, build, and deploy production-grade software platforms, automation systems, and test infrastructure across global manufacturing environments, with a strong emphasis on scalable software development and system architecture. You will lead a team of software engineers and play a key role in technical decision-making, architecture strategy, and cross-functional leadership, partnering with engineering, manufacturing, quality, and customers to deliver scalable, high-impact solutions. ESSENTIAL DUTIES AND RESPONSIBILITIES: LEADERSHIP AND MANAGEMENT RESPONSIBILITIES People manager for a team of software developers and product engineers in support of global cloud operations. Attract, hire, onboard, lead, coach, mentor and inspire your team to deliver the best in class for our customers and employees Establish clear measurable goals and objectives by which to determine individual and team results (i.e. operational metrics, results against project timelines). Solicit ongoing self and team feedback from the business unit (BU), customer and team members. Perform team member evaluations professionally and on time. Drive individuals and the team to continuously improve in key operational metrics and the achievement of the organizational goals. Coordinate activities of team and keep them focused in times of crises. Ensure recognition and rewards are managed fairly and consistently in area of responsibility. FUNCTIONAL MANAGEMENT RESPONSIBILITIES Plan and formulate aspects of Customer BU projects such as objective or purpose of project, applications derived from findings, cost, and required technical resources. Provide direction on software design, development, and automation strategies to improve, modify, or create new systems and processes. Oversee key projects, processes and performance reports, data, and analysis. Develop, determine, and implement policies, procedures and programs. Analyze technology trends, software tooling, and resource needs to effectively plan projects. Oversee definition and collaboration on overall test infrastructure and application architectures with a strong emphasis on scalable software systems. Lead creation of high-level software design specifications and system architecture decisions. Drive development of production infrastructure and related application code and automation frameworks. Lead and participate in peer/code reviews to ensure software quality and maintainability. Contribute to and improve software build methodology, CI/CD pipelines, procedures, and engineering environments. Provide operational and development support for software platforms and test infrastructure deployed at production facilities. JOB QUALIFICATIONS and KNOWLEDGE REQUIREMENTS: Knowledge of professional software engineering practices across the complete SDLC, including coding standards, code reviews, source control management, build processes, testing, and operations. Agile, CI/CD, and SDLC process implementation and application experience. Strong expertise in programming/scripting languages: Python (primary), BASH; Java experience a plus. Linux development experience with a solid understanding of system fundamentals and internals (Ubuntu, CentOS). Experience with containerization and virtualization environments (VMware, Docker). Solid understanding of large-scale distributed systems, including multi-tier architectures, application security, monitoring, and storage systems. Experience with front-end and back-end Web UI development. Experience with common web APIs (REST, XML-RPC). Experience with code versioning tools (Git preferred). Experience with hardware and API solutions for controlling, managing and stressing L10 devices (servers, network and storage SSDs, NVMe) such as IPMI, Redfish, FIO, Linpack, memtester. Experience with virtual machine configuration (DHCP, PXE boot, nginx), VMware preferred. Familiarity with enterprise data center networking (L1-L3 concepts such as BGP, DHCP Relay, ECMP); Arista CloudVision is a plus. EDUCATION & EXPERIENCE REQUIREMENTS BS degree in Electrical/Computer Engineering, Computer Science, or related field. MS preferred. 10+ years' experience in a software development/test capacity with enterprise server, storage, or networking products. 3+ years people management experience. Excellent verbal and written communication skills. Prior experience directly managing software development teams Experience managing remote, multi-national and geographically dispersed development teams. Domestic and/or International travel, up to 25%, may be required.

This position supports hybrid work schedule depending on organization needs. Jabil is a leading product solutions provider offering end-to-end design, manufacturing, supply chain, and product management services. With operations in over 100 facilities across 30 countries, Jabil delivers innovative, integrated, and customized solutions to clients across diverse industries-including automotive, consumer lifestyle and wearables, defense and aerospace, smart home and building, industrial and energy, enterprise and infrastructure, healthcare, mobility, packaging, and printing. JOB SUMMARY Jabil is seeking a Manufacturing Test Development Manager to lead the development and deployment of large-scale production software systems supporting our Intelligent Infrastructure division. You will be applying unique and innovative approaches to solving problems within a large-scale manufacturing production environment. You and your team will be responsible for contributing to the end-to-end architecture, definition, development and production deployment of production software applications and infrastructure spanning multiple customers and manufacturing regions. You will also be responsible for interfacing with internal engineering, manufacturing and quality teams and our end customers to ensure your software deliverables meet the rigorous standards of Jabil's world-class manufacturing environments. This is not a traditional QA manager nor manual test role. This position is focused on leading teams that design, build, and deploy production-grade software platforms, automation systems, and test infrastructure across global manufacturing environments, with a strong emphasis on scalable software development and system architecture. You will lead a team of software engineers and play a key role in technical decision-making, architecture strategy, and cross-functional leadership, partnering with engineering, manufacturing, quality, and customers to deliver scalable, high-impact solutions. ESSENTIAL DUTIES AND RESPONSIBILITIES: LEADERSHIP AND MANAGEMENT RESPONSIBILITIES People manager for a team of software developers and product engineers in support of global cloud operations. Attract, hire, onboard, lead, coach, mentor and inspire your team to deliver the best in class for our customers and employees Establish clear measurable goals and objectives by which to determine individual and team results (i.e. operational metrics, results against project timelines). Solicit ongoing self and team feedback from the business unit (BU), customer and team members. Perform team member evaluations professionally and on time. Drive individuals and the team to continuously improve in key operational metrics and the achievement of the organizational goals. Coordinate activities of team and keep them focused in times of crises. Ensure recognition and rewards are managed fairly and consistently in area of responsibility. FUNCTIONAL MANAGEMENT RESPONSIBILITIES Plan and formulate aspects of Customer BU projects such as objective or purpose of project, applications derived from findings, cost, and required technical resources. Provide direction on software design, development, and automation strategies to improve, modify, or create new systems and processes. Oversee key projects, processes and performance reports, data, and analysis. Develop, determine, and implement policies, procedures and programs. Analyze technology trends, software tooling, and resource needs to effectively plan projects. Oversee definition and collaboration on overall test infrastructure and application architectures with a strong emphasis on scalable software systems. Lead creation of high-level software design specifications and system architecture decisions. Drive development of production infrastructure and related application code and automation frameworks. Lead and participate in peer/code reviews to ensure software quality and maintainability. Contribute to and improve software build methodology, CI/CD pipelines, procedures, and engineering environments. Provide operational and development support for software platforms and test infrastructure deployed at production facilities. JOB QUALIFICATIONS and KNOWLEDGE REQUIREMENTS: Knowledge of professional software engineering practices across the complete SDLC, including coding standards, code reviews, source control management, build processes, testing, and operations. Agile, CI/CD, and SDLC process implementation and application experience. Strong expertise in programming/scripting languages: Python (primary), BASH; Java experience a plus. Linux development experience with a solid understanding of system fundamentals and internals (Ubuntu, CentOS). Experience with containerization and virtualization environments (VMware, Docker). Solid understanding of large-scale distributed systems, including multi-tier architectures, application security, monitoring, and storage systems. Experience with front-end and back-end Web UI development. Experience with common web APIs (REST, XML-RPC). Experience with code versioning tools (Git preferred). Experience with hardware and API solutions for controlling, managing and stressing L10 devices (servers, network and storage SSDs, NVMe) such as IPMI, Redfish, FIO, Linpack, memtester. Experience with virtual machine configuration (DHCP, PXE boot, nginx), VMware preferred. Familiarity with enterprise data center networking (L1-L3 concepts such as BGP, DHCP Relay, ECMP); Arista CloudVision is a plus. EDUCATION & EXPERIENCE REQUIREMENTS BS degree in Electrical/Computer Engineering, Computer Science, or related field. MS preferred. 10+ years' experience in a software development/test capacity with enterprise server, storage, or networking products. 3+ years people management experience. Excellent verbal and written communication skills. Prior experience directly managing software development teams Experience managing remote, multi-national and geographically dispersed development teams. Domestic and/or International travel, up to 25%, may be required.

This position supports hybrid work schedule depending on organization needs. Jabil is a leading product solutions provider offering end-to-end design, manufacturing, supply chain, and product management services. With operations in over 100 facilities across 30 countries, Jabil delivers innovative, integrated, and customized solutions to clients across diverse industries-including automotive, consumer lifestyle and wearables, defense and aerospace, smart home and building, industrial and energy, enterprise and infrastructure, healthcare, mobility, packaging, and printing. JOB SUMMARY Jabil is seeking a Manufacturing Test Development Manager to lead the development and deployment of large-scale production software systems supporting our Intelligent Infrastructure division. You will be applying unique and innovative approaches to solving problems within a large-scale manufacturing production environment. You and your team will be responsible for contributing to the end-to-end architecture, definition, development and production deployment of production software applications and infrastructure spanning multiple customers and manufacturing regions. You will also be responsible for interfacing with internal engineering, manufacturing and quality teams and our end customers to ensure your software deliverables meet the rigorous standards of Jabil's world-class manufacturing environments. This is not a traditional QA manager nor manual test role. This position is focused on leading teams that design, build, and deploy production-grade software platforms, automation systems, and test infrastructure across global manufacturing environments, with a strong emphasis on scalable software development and system architecture. You will lead a team of software engineers and play a key role in technical decision-making, architecture strategy, and cross-functional leadership, partnering with engineering, manufacturing, quality, and customers to deliver scalable, high-impact solutions. ESSENTIAL DUTIES AND RESPONSIBILITIES: LEADERSHIP AND MANAGEMENT RESPONSIBILITIES People manager for a team of software developers and product engineers in support of global cloud operations. Attract, hire, onboard, lead, coach, mentor and inspire your team to deliver the best in class for our customers and employees Establish clear measurable goals and objectives by which to determine individual and team results (i.e. operational metrics, results against project timelines). Solicit ongoing self and team feedback from the business unit (BU), customer and team members. Perform team member evaluations professionally and on time. Drive individuals and the team to continuously improve in key operational metrics and the achievement of the organizational goals. Coordinate activities of team and keep them focused in times of crises. Ensure recognition and rewards are managed fairly and consistently in area of responsibility. FUNCTIONAL MANAGEMENT RESPONSIBILITIES Plan and formulate aspects of Customer BU projects such as objective or purpose of project, applications derived from findings, cost, and required technical resources. Provide direction on software design, development, and automation strategies to improve, modify, or create new systems and processes. Oversee key projects, processes and performance reports, data, and analysis. Develop, determine, and implement policies, procedures and programs. Analyze technology trends, software tooling, and resource needs to effectively plan projects. Oversee definition and collaboration on overall test infrastructure and application architectures with a strong emphasis on scalable software systems. Lead creation of high-level software design specifications and system architecture decisions. Drive development of production infrastructure and related application code and automation frameworks. Lead and participate in peer/code reviews to ensure software quality and maintainability. Contribute to and improve software build methodology, CI/CD pipelines, procedures, and engineering environments. Provide operational and development support for software platforms and test infrastructure deployed at production facilities. JOB QUALIFICATIONS and KNOWLEDGE REQUIREMENTS: Knowledge of professional software engineering practices across the complete SDLC, including coding standards, code reviews, source control management, build processes, testing, and operations. Agile, CI/CD, and SDLC process implementation and application experience. Strong expertise in programming/scripting languages: Python (primary), BASH; Java experience a plus. Linux development experience with a solid understanding of system fundamentals and internals (Ubuntu, CentOS). Experience with containerization and virtualization environments (VMware, Docker). Solid understanding of large-scale distributed systems, including multi-tier architectures, application security, monitoring, and storage systems. Experience with front-end and back-end Web UI development. Experience with common web APIs (REST, XML-RPC). Experience with code versioning tools (Git preferred). Experience with hardware and API solutions for controlling, managing and stressing L10 devices (servers, network and storage SSDs, NVMe) such as IPMI, Redfish, FIO, Linpack, memtester. Experience with virtual machine configuration (DHCP, PXE boot, nginx), VMware preferred. Familiarity with enterprise data center networking (L1-L3 concepts such as BGP, DHCP Relay, ECMP); Arista CloudVision is a plus. EDUCATION & EXPERIENCE REQUIREMENTS BS degree in Electrical/Computer Engineering, Computer Science, or related field. MS preferred. 10+ years' experience in a software development/test capacity with enterprise server, storage, or networking products. 3+ years people management experience. Excellent verbal and written communication skills. Prior experience directly managing software development teams Experience managing remote, multi-national and geographically dispersed development teams. Domestic and/or International travel, up to 25%, may be required.

This position supports hybrid work schedule depending on organization needs. Jabil is a leading product solutions provider offering end-to-end design, manufacturing, supply chain, and product management services. With operations in over 100 facilities across 30 countries, Jabil delivers innovative, integrated, and customized solutions to clients across diverse industries-including automotive, consumer lifestyle and wearables, defense and aerospace, smart home and building, industrial and energy, enterprise and infrastructure, healthcare, mobility, packaging, and printing. JOB SUMMARY Jabil is seeking a Manufacturing Test Development Manager to lead the development and deployment of large-scale production software systems supporting our Intelligent Infrastructure division. You will be applying unique and innovative approaches to solving problems within a large-scale manufacturing production environment. You and your team will be responsible for contributing to the end-to-end architecture, definition, development and production deployment of production software applications and infrastructure spanning multiple customers and manufacturing regions. You will also be responsible for interfacing with internal engineering, manufacturing and quality teams and our end customers to ensure your software deliverables meet the rigorous standards of Jabil's world-class manufacturing environments. This is not a traditional QA manager nor manual test role. This position is focused on leading teams that design, build, and deploy production-grade software platforms, automation systems, and test infrastructure across global manufacturing environments, with a strong emphasis on scalable software development and system architecture. You will lead a team of software engineers and play a key role in technical decision-making, architecture strategy, and cross-functional leadership, partnering with engineering, manufacturing, quality, and customers to deliver scalable, high-impact solutions. ESSENTIAL DUTIES AND RESPONSIBILITIES: LEADERSHIP AND MANAGEMENT RESPONSIBILITIES People manager for a team of software developers and product engineers in support of global cloud operations. Attract, hire, onboard, lead, coach, mentor and inspire your team to deliver the best in class for our customers and employees Establish clear measurable goals and objectives by which to determine individual and team results (i.e. operational metrics, results against project timelines). Solicit ongoing self and team feedback from the business unit (BU), customer and team members. Perform team member evaluations professionally and on time. Drive individuals and the team to continuously improve in key operational metrics and the achievement of the organizational goals. Coordinate activities of team and keep them focused in times of crises. Ensure recognition and rewards are managed fairly and consistently in area of responsibility. FUNCTIONAL MANAGEMENT RESPONSIBILITIES Plan and formulate aspects of Customer BU projects such as objective or purpose of project, applications derived from findings, cost, and required technical resources. Provide direction on software design, development, and automation strategies to improve, modify, or create new systems and processes. Oversee key projects, processes and performance reports, data, and analysis. Develop, determine, and implement policies, procedures and programs. Analyze technology trends, software tooling, and resource needs to effectively plan projects. Oversee definition and collaboration on overall test infrastructure and application architectures with a strong emphasis on scalable software systems. Lead creation of high-level software design specifications and system architecture decisions. Drive development of production infrastructure and related application code and automation frameworks. Lead and participate in peer/code reviews to ensure software quality and maintainability. Contribute to and improve software build methodology, CI/CD pipelines, procedures, and engineering environments. Provide operational and development support for software platforms and test infrastructure deployed at production facilities. JOB QUALIFICATIONS and KNOWLEDGE REQUIREMENTS: Knowledge of professional software engineering practices across the complete SDLC, including coding standards, code reviews, source control management, build processes, testing, and operations. Agile, CI/CD, and SDLC process implementation and application experience. Strong expertise in programming/scripting languages: Python (primary), BASH; Java experience a plus. Linux development experience with a solid understanding of system fundamentals and internals (Ubuntu, CentOS). Experience with containerization and virtualization environments (VMware, Docker). Solid understanding of large-scale distributed systems, including multi-tier architectures, application security, monitoring, and storage systems. Experience with front-end and back-end Web UI development. Experience with common web APIs (REST, XML-RPC). Experience with code versioning tools (Git preferred). Experience with hardware and API solutions for controlling, managing and stressing L10 devices (servers, network and storage SSDs, NVMe) such as IPMI, Redfish, FIO, Linpack, memtester. Experience with virtual machine configuration (DHCP, PXE boot, nginx), VMware preferred. Familiarity with enterprise data center networking (L1-L3 concepts such as BGP, DHCP Relay, ECMP); Arista CloudVision is a plus. EDUCATION & EXPERIENCE REQUIREMENTS BS degree in Electrical/Computer Engineering, Computer Science, or related field. MS preferred. 10+ years' experience in a software development/test capacity with enterprise server, storage, or networking products. 3+ years people management experience. Excellent verbal and written communication skills. Prior experience directly managing software development teams Experience managing remote, multi-national and geographically dispersed development teams. Domestic and/or International travel, up to 25%, may be required.

Job Posting Title: Lead Photonics System Engineer Jabil is seeking a Lead Photonics System Engineer focused on enabling design and manufacturing services for cutting edge Co-Packaged-Optics (CPO) systems, which present new challenges with the integration density of photonic elements at the box and rack level at the EMS environment. This position engages with leading edge technology companies. You will help transform photonics as an industry, while contributing to the rapid transformative growth within the Intelligent Infrastructure business unit. Lead photonics systems engineers in this team have responsibility for a diverse array of functions, all rooted on their deep technical understanding of photonic communication links, components, and wireline systems. The job scope includes establishing product engineering expertise for photonic systems both in the central engineering organization as well as the manufacturing sites, early client engagement to understand the requirements and potential manufacturing yield risks, designing test and debug strategy, and providing optical system design services as part of Jabil's design services capabilities. Note: This is NOT a lab position. This is NOT research & development. This is production scale photonics manufacturing in a hyperscale environment. You are a leader within a global manufacturing team applying photonics technology to the manufacturing of server and racks for datacenters. Please note that this position requires more than 50% travel. You can be located anywhere in the USA for this position as a result. What will you do? - Provide product subject matter expertise to support manufacturing line bringup and NPI activities for CPO systems in Jabil's factories, in particular focusing on process design, yield analysis, and root-causing of failure modes to drive yield improvement. Develop test strategy, quality control gates, and rework flows with the test engineering and industrial engineering teams to establish process control, early fault detection, and effective rework flows. Define yield, throughput, and parametric-data dashboards (as well as automated data analysis) for implementation with the work cell and data engineering teams to allow SPC implementation and drive systematic yield improvement processes. Participate in client interactions to funnel in specs, requirements required for system CPO system design. Support product design phase with DFM and FMEA guidance. Train and provide technical guidance to factory product engineers through manufacturing NPI and volume ramp phases. Maintain an ongoing engagement with the factory operations and engineering teams to continuously drive process and yield improvements, provide engineering support as required for tackling manufacturing issues. Keep abreast of new technologies pertaining to the co-packaged-optics systems with a focus on photonics packaging, fiber-optic connectivity, test and metrology methods and equipment. Evaluate and qualify new offerings in area of fiber-optic connectivity (such as blind-mate connectors, shuffle cables, various supporting tooling) to support design activities as well as tool adoption on factory floor. Keep abreast of new technologies pertaining to the co-packaged-optics systems with a focus on photonics packaging, fiber-optic connectivity, test and metrology methods and equipment. Perform other duties and responsibilities as required. How will you get here? - Education: Relevant 4-year Bachelor's Degree in Electrical Engineering, Physics or a similar field is required Experience: 6+ years of photonics communication system (optical engine / transceiver / switch box / networking rack) development or product engineering in the datacom / telecom industry is required Knowledge, Skills, Abilities: Possesses deep expertise in photonics and optical communication links, associated component / module specs and test methods in R&D and manufacturing for defect detection. Manufacturing experience. This is NOT a lab position. This is NOT research & development. This is production scale photonics manufacturing in a hyperscale environment. 6+ years of photonics communication system (optical engine / transceiver / switch box / networking rack) development or product engineering in the datacom / telecom industry is required Capable of hands-on setting up of DC/RF electro-optical testbenches, including basic test automation coding in Python or similar. Highly detail oriented, highly organized & methodical thinker. Able to tackle engineering challenges and devise structured R&D programs for process development. Independent, action-oriented, entrepreneurial, and with high sense of product ownership. Able to travel up to 70% both domestically and internationally Advantage to experience working with manufacturing partners / in-house manufacturing of optical communication systems Advantage to product-engineering experience in NPI and volume manufacturing ramp phases of optical communication components / modules / systems. Strong preference to advanced degrees in electrical engineering or applied physics