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Working at the Naval Nuclear Laboratory we foster pride in belonging to an organization whose culture is made up of these core values: Trust, Empowerment, and Collaboration. Our company promotes a positive culture while ensuring the safety and reliability of our nation's naval nuclear reactors, and training the Sailors who operate those reactors in the U.S. Navy's submarines and aircraft carrier Fleets. Looking for a lifetime career? Apply today! The Naval Nuclear Laboratory Welding/Cutting & New Construction team of Reactor Servicing Systems has an opening for an experienced mechanical engineer. New Construction Operations personnel are cognizant of the processes, procedures, and technical engineering support necessary to assemble and install the power units into ships. Responsibilities include: • Maintain Reactor Servicing Procedures., • Provide engineering support to resolve problems., • Provide effective communications during interfaces with the shipyard, Bechtel Plant Machinery Inc., and Naval Reactors., • Possible opportunity for equipment design and qualification as a Shipyard Liaison Engineer. There will be travel opportunities to participate in on-site meetings at the shipyard. • Bachelors degree from an accredited college or university in a related technical, engineering or science field and a minimum of 6 years of relevant experience; or, • Masters degree from an accredited college or university in a related technical, engineering or science field and a minimum of 4 years of relevant experience; or, • Doctorate degree from an accredited college or university in a related technical, engineering or science field and a minimum of 1 year of relevant experience; or, • Currently a Senior Reactor Training Engineer, Refueling Engineer, or Field (RPCO) Engineer at the Company., • Degrees in Mechanical Engineering are preferred, but not required., • Mechanical engineering experience., • Experience with 3D modeling., • Experience with geometric dimensioning and tolerancing., • Health, Dental, Vision & Voluntary Benefits, • Disability, Life & Accident Insurance, • 401(k) Savings program & Capital Accumulation Plan, • Personal & Medical Time Off, • Paid Parental Leave, • Flexible Work Schedules, • Tuition Assistance for Eligible Employees, • Student Debt Benefit Personal Time Off Sell Program, • Employee Assistance Program (EAP), • Wellness Program All candidates must be U.S. citizens. Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified matter. FMP is a government contractor and maintains a drug free workplace and workforce. All candidates must be able to pass a drug test in compliance with FMP company policy and 10 CFR 707. Marijuana is a Federal Schedule I controlled substance and illegal under Federal Law. Therefore, FMP is required to test for marijuana. Fluor Marine Propulsion, LLC is an Equal Opportunity Employer, including disability/vets. All qualified applicants will receive consideration for employment without regard to race, color, age, sex, religion, national origin, disability, veteran status, genetic information, or any other criteria protected by federal, state, or local law. ___ Back to results

Working at the Naval Nuclear Laboratory we foster pride in belonging to an organization whose culture is made up of these core values: Trust, Empowerment, and Collaboration. Our company promotes a positive culture while ensuring the safety and reliability of our nation's naval nuclear reactors, and training the Sailors who operate those reactors in the U.S. Navy's submarines and aircraft carrier Fleets. Looking for a lifetime career? Apply today! Ready to influence the future of naval nuclear propulsion? Join a team where your ideas and engineering skills will shape first-of-a-kind reactor servicing systems that keep the U.S. Navy mission-ready. If you're looking for challenging projects, cutting-edge technology, and work that truly matters, this is the role for you. The Spent Fuel Systems department in the Reactor Servicing organization plays a critical role in supporting the Naval Nuclear Propulsion Program by delivering innovative solutions for reactor servicing operations at the Naval Reactors Facility in Idaho. The successful candidate will join a Pittsburgh, PA or Niskayuna, NY based team responsible for the design, analysis, safety, and integration of specialized servicing equipment and associated software systems. This includes developing first-of-a-kind engineering solutions to enable safe and efficient reactor servicing activities across multiple facilities. Key responsibilities may include, but are not limited to: • Designing and analyzing reactor servicing equipment to meet stringent technical and operational requirements., • Developing and validating software tools that support equipment operation and servicing procedures., • Performing safety analyses to ensure compliance with nuclear safety standards during servicing operations., • Collaborating with multidisciplinary teams to ensure seamless integration of hardware and software systems., • Supporting the development of reactor servicing procedures and providing technical consultation during implementation., • Applying engineering principles to solve complex problems in an innovative way while in a highly regulated environment., • The position offers the opportunity to work on unique, mission-critical projects that directly impact the safety and reliability of naval nuclear propulsion systems. Technical mentors, advisors, and lead engineers are assigned to support new engineers through on-the-job training. • Bachelors degree from an accredited college or university in a related technical, engineering or science field and a minimum of 4 years of relevant experience; or, • Masters degree from an accredited college or university in a related technical, engineering or science field and a minimum of 2 years of relevant experience; or, • Doctorate degree from an accredited college or university in a related technical, engineering, science field; or, • Currently an Advanced Reactor Training Engineer, Refueling Engineer, or Field (RPCO) Engineer at the Company., • Degrees in Mechanical, Nuclear, Chemical, Aerospace, Industrial, or Environmental Engineering are preferred, but not required., • Solid foundation in engineering design and analysis., • Strong problem-solving skills., • Detail-oriented., • Quick learner with continuous improvement mindset., • Interest in nuclear systems and service operations., • Skilled technical writer., • Experienced in engineering documentation and configuration management., • Collaborative team player in cross-functional environments., • Clear and effective communicator of technical concepts., • Proven leadership and project management abilities., • Strong time management and task prioritization skills., • Experience with engineering safety or industrial engineering., • Ability to collaborate virtually across sites and time zones., • Experience with software development and modeling tools (e.g., MATLAB, Python, CAD), • Health, Dental, Vision & Voluntary Benefits, • Disability, Life & Accident Insurance, • 401(k) Savings program & Capital Accumulation Plan, • Personal & Medical Time Off, • Paid Parental Leave, • Flexible Work Schedules, • Tuition Assistance for Eligible Employees, • Student Debt Benefit Personal Time Off Sell Program, • Employee Assistance Program (EAP), • Wellness Program All candidates must be U.S. citizens. Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified matter. FMP is a government contractor and maintains a drug free workplace and workforce. All candidates must be able to pass a drug test in compliance with FMP company policy and 10 CFR 707. Marijuana is a Federal Schedule I controlled substance and illegal under Federal Law. Therefore, FMP is required to test for marijuana. Fluor Marine Propulsion, LLC is an Equal Opportunity Employer, including disability/vets. All qualified applicants will receive consideration for employment without regard to race, color, age, sex, religion, national origin, disability, veteran status, genetic information, or any other criteria protected by federal, state, or local law. ___ Back to results

Distinguished AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 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 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) 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 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. McLean, VA: $269,100 - $307,200 for Distinguished AI Engineer New York, NY: $293,600 - $335,100 for Distinguished AI Engineer Richmond, VA: $244,700 - $279,200 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 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead Project Engineer Schenectady, NY or Greenville, SC 12 Months Working Hours: 8am - 5pm, Monday - Friday PAY: 67.42/HR, W 2 2-3 days in office per week 4 positions in Greenville, SC: 3 positions in Schenectady, NY Lead Project Engineer Americas Looking to make a global impact and solve problems? Through relentless innovation and continuous collaboration with our customers, Client Gas Power, part of ***, is providing more advanced, cleaner, and efficient power that people depend on today and building the energy technologies of the future. What impact you’ll make As a member of the Project Engineering team, you will provide input and make decisions that influence major technical and financial outcomes for client and/or the customer and customer representatives. What you’ll do The Lead Project Engineer provides technical project management, technical direction, and drives coordination of engineering activities and critical issue resolution for OTR-related issues for all assigned projects. The Lead Project Engineer functions as the technical liaison for the Customer and Engineering, Procurement, and Construction (EPC) representatives to ensure that the supplied design documentation and equipment fully complies with the contract requirements and drives continuous improvement in project execution. This position reports to the Project Engineering Leader of the Americas. This position will require coordination with customers, Engineering, Procurement, and Construction firms (EPCs), Project Management, multiple engineering organizations, Centers of Excellence (COEs), Commercial Operations, Business Associates (Client), Global Supply Chain (GSC), and installation/field personnel by: • Providing continuous improvement and operational leadership as single point contact for all customer technical inquiries, change requests, and communications for all topics related to the technology and its auxiliaries (Project Engineer scope) • Driving lessons learned back into the design engineering organizations to avoid repeating issues • Providing technical guidance to Project Management and Applications/Regional Customer Applications Engineering • Conducting Customer Kick-Off Meetings (CKOMs) and/or Design Liaison Meetings (DLMs) with customers and/or their design representatives (EPCs) • Reviewing contract documentation and communicating project requirements to all design functions, utilizing internal documentation systems and regular communication with internal engineering organizations • Evaluating the financial/schedule impacts of customer-requested scope changes via Cost & Cycle Estimates (CCEs) and implementing changes agreed to by Change Orders via the Change Management Process • Supporting resolution of cross-functional design complexities and working to resolve technical issues • Mitigating engineering schedule issues and taking preventative action to avoid delivery delays or late customer deliverables • Managing the Engineering Budget and providing quarterly Estimate at Completions (EACs) to Finance • Providing technical support to engineering, manufacturing, sourcing, suppliers, and installation personnel to ensure equipment meets all customer requirements and business objectives • Presenting project issue resolutions periodically to upper management, highlighting risks, and creating action plans to remedy the risks What you’ll bring (Basic Qualifications) • Bachelor’s Degree in Engineering from an accredited college or university OR a high school diploma/ GED with 5 years of relevant experience • Minimum 2 years of experience in Project Engineering, Design Engineering, and/or Field Engineering Eligibility Requirement: • Ability and willingness to travel, as required ~10% - 15% • Ability and willingness to manage multiple priorities simultaneously • Leadership-quality communication skills, both verbal and written What will make you stand out • Customer-facing experience • Experience with GTCC – Product Lifecycle Management (PLM) software • Demonstrated creativity and problem-solving capability • Experience and/or knowledge of plant system design engineering, manufacturing, assembly, installation, and/or testing • Continuous process improvement mindset In office 3-5 days per week.

Lead AI Engineer Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Lead AI Engineer (Gen AI Platform Services, Agentic AI) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San 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 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Lead AI Engineer (AI Foundations, LLM Customization and Finetuning) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . 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).

Location: Schenectady, New York Job Title: Experienced Mechanical Engineer Status: Full-time Professional Annual Salary Range: $86,100 - $162,690 *Salary and grade commensurate with education and experience. Job Summary As a Mechanical Engineer at BPMI, you will be responsible for project engineering duties requiring technical cognizance of nuclear plant components and related servicing equipment as well as simulation-based Navy training equipment. Essential Duties: • Project engineering responsibilities requiring technical cognizance of nuclear plant components and related servicing equipment (e.g., pressure vessels, valves, pumps, heat exchangers, detectors, breakers, refueling equipment) as well as simulation-based Navy training equipment (propulsion plant and engine room team trainers)., • Functions encompass the following:, • Review and approve supplier and BPMI/Naval Nuclear Laboratory designs., • Prepare budgets and cost estimates for current and future work., • Develop and provide detailed technical and funding recommendations to the Navy., • Prepare technical specifications covering equipment design, manufacturing and/or testing requirements, • Conduct technical negotiations through purchase order placement., • Conduct production reviews and quality surveillance and develop and implement methods to improve supplier performance., • Evaluate fleet data and resolution of operational equipment field issues, including technical manual development with customer, supplier, and shipyard personnel., • The essential duties identified are representative but are not intended to be an exhaustive or inclusive list of all the responsibilities of the position. What You Can Expect: • A culture that values people through recognition of accomplishments, work-life balance, and a sense of community., • A diverse group of talented individuals working toward the common goal of supporting the United States Navy in their pursuit of national security., • Competitive and attractive pay and benefits with a stable organization., • Opportunities to participate in BPMI sponsored committees and clubs, each with their own mission and purpose., • Career advancement and professional development programs. Minimum Job Requirements: • Bachelor's Degree in Mechanical or Aerospace Engineering from an accredited college or university., • A minimum of four (4) years of relevant experience. An advanced degree may be considered in lieu of one year of experience., • Requires a security clearance; however, all qualified candidates will be considered regardless of their current clearance status. The ability to obtain and maintain a Department of Energy security clearance is required. Preferred Job Requirements: • Experience in project engineering or design engineering with some experience or familiarity in one or more of the following areas: manufacturing, welding, specification preparation, structural analysis, fluid flow, mechanical design, vibration analysis, or field support., • Effective technical writing and verbal communication skills., • Critical thinking skills, creative and innovative, challenges the status quo, willing to push the envelope and think outside the box., • Experience influencing internal and external stakeholders to drive execution of work on-time and on-budget. Why BPMI? Bechtel Plant Machinery, Inc. (BPMI) is a prime contractor for the Naval Nuclear Propulsion Program (NNPP). BPMI is involved in the design, purchase, quality control, and delivery of major propulsion plant components for installation in nuclear-powered aircraft carriers, submarines, and prototype plants for the U.S. Navy. Teamwork, cooperation, and the pursuit of excellence have been the driving forces behind the growth and success of BPMI. For more information, visit . BPMI is a drug-free workplace. Candidates accepting a job offer will be required to pass a pre-placement drug screening and background investigation. As an employee, you will be required to receive and maintain a security clearance from the United States Department of Energy in order to meet eligibility requirements for access to sensitive information or matter. U.S. citizenship is a requirement for security clearance applicants. All employees are subject to being randomly selected for drug testing without advance notification. Equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities.

Lead AI Engineer (FM Hosting, LLM Inference) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead AI Engineer (MLX) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description Strategic Mission Critical: At Strategic Mission Critical (SMC), we are more than just engineers; we are experts focusing solely on mission critical facilities. Our seasoned leadership team brings together decades of experience, equipping data center providers worldwide with robust, reliable solutions that keep pace with the evolving digital landscape. With a rapidly expanding market and the anticipated increase in demand driven by AI advancements, SMC is at the forefront of industry growth. We offer not just jobs, but career paths that reward innovation and expertise. If you want to work alongside highly skilled professionals with years of mission critical experience, then we want you to be part of a team, a team that works on major projects for top-tier data center providers. Your work will ensure the resilience and efficiency of data infrastructure that millions depend on. Position Opening: The Building Management System Design Engineer will be responsible for the design and technical development of Building Management Systems (BMS), Electrical Power Monitoring Systems (EPMS) and control sequences for mission critical facilities. This role focuses on developing control system strategies that ensure reliability and redundancy as required by the project while supporting seamless integration with other building systems. RESPONSIBILITIES Responsibilities include but are not limited to: • Develop detailed control system design documents, including sequences of operation, network architecture diagrams and points lists., • Create project-related BMS specifications., • Define integration strategies between BMS, PLCs, mechanical and electrical systems, and third-party monitoring platforms., • Specify control panel requirements, I/O requirements, and communication protocols for all equipment., • Collaborate with internal mechanical and electrical engineers to ensure system logic aligns with owner design requirements., • Collaborate with internal and/or external stakeholders to ensure network architecture and cabling requirements are incorporated into overall project requirements., • Develop and maintain company-wide standards for BMS design, details, and documentation templates., • Participate in design coordination meetings and technical workshops with clients, vendors, and commissioning agents., • Assist clients with evaluation and selection of control system integrators., • Conduct QA/QC reviews to validate drawings, sequences, and integration details before issuance., • Conduct site visits to gather existing system information, review construction work in progress, and confirm installed conditions are in compliance with contract document requirements. QUALIFICATIONS • 5+ years of experience in building automation or HVAC controls design, preferably within consulting or mission critical environments., • Strong understanding of HVAC system operation and control logic., • Bachelor’s degree in Mechanical, Electrical, or Controls Engineering. Candidates with significant relevant work experience may be considered in lieu of one of these degrees., • Knowledge of control communication protocols such as BACnet, Modbus, and TCP/IP., • Knowledge of PLC and DDC based BMS systems., • Experience with Division 25 and 26 specifications., • Knowledge of electrical power systems including distribution equipment, generators, UPS, and similar equipment in the context of monitoring and integration is a plus., • Excellent written and verbal communication skills, with the ability to clearly describe complex control sequences. Base Compensation: $90,000-$300,000 (Actual compensation is subject to variation due to factors such as education, experience, skills and/or location) SMC offers a competitive benefits package, with a 36-hour standard work week, hybrid working arrangement, 13 paid holidays, 100% coverage of medical, health, and dental insurance premiums for our full-time employees, and reimbursement of professional licensing costs. Spouse and family insurance premiums are subsidized by SMC. All full-time employees are additionally eligible for employer-sponsored life and long-term disability insurance as well as participation in our 401(k) plan, with annual safe harbor contribution.

Job DescriptionSalary: Jones Petrie Rafinski (JPR) is a dynamic provider of A&E services. As a multi-disciplined firm, we give our team members a wide variety of challenging projects and opportunities to collaborate with talented people across disciplines. We are seeking a Licensed Civil Engineer with 5+ years of experience in industrial and commercial site design to join our team. This role is ideal for someone who thrives on designing efficient, buildable solutions and collaborating with clients, contractors, and team members to bring projects to life. Key Responsibilities: • Lead and manage site design projects for industrial and commercial developments from concept through construction., • Develop and review site grading, utility, stormwater management, and erosion control plans., • Coordinate with clients, municipalities, and other design disciplines to ensure compliance with regulations and project objectives., • Prepare technical reports, cost estimates, and permit applications., • Mentor junior engineers and CAD technicians, providing technical guidance and quality oversight., • Support business development efforts by preparing proposals and assisting in client presentations. Qualifications: • Bachelors degree in Civil Engineering or related field., • Professional Engineer (PE) license desired., • Minimum of 5 years of experience in industrial/commercial site design., • Proficiency with civil design software (e.g., AutoCAD Civil 3D)., • Strong understanding of local, state, and federal permitting processes., • Excellent communication, problem-solving, and organizational skills., • Ability to manage multiple projects and meet deadlines in a fast-paced environment. Why Join Us: • Opportunity to work on diverse, high-impact projects that shape communities., • Collaborative, team-oriented culture that values professional growth., • Competitive compensation and comprehensive benefits package. Benefits: • 401(k), • 401(k) matching, • Medical insurance, • Dental insurance, • Vision insurance, • Flexible schedule, • Paid time off, • Life insurance, • Short-term and Long-term disability, • Professional development assistance, • Student loan stipend, • Tuition reimbursement, • Unlimited career growth potential

Job Description Security Design Engineer Engineering data centers with precision and expertise. At Strategic Mission Critical, we are more than just engineers; we are experts focusing solely on mission critical facilities. Our seasoned leadership team brings together decades of experience, equipping data center providers worldwide with robust, reliable solutions that keep pace with the evolving digital landscape. With a rapidly expanding market and the anticipated increase in demand driven by AI advancements, SMC is at the forefront of industry growth. We offer not just jobs, but career paths that reward innovation and expertise. If you want to work alongside highly skilled professionals with years of mission critical experience, then we want you to be part of our team, a team that works on major projects for top-tier data center providers. Your work will ensure the resilience and efficiency of data infrastructure that millions depend on. SMC is actively looking for a Mid-Security Engineer to execute security access control, intrusion alarm, and surveillance systems design for mission critical projects. Typical project types may include design of greenfield and brownfield data center facilities, design of fit-out packages for hyperscale and enterprise clients of colocation providers, data center campus planning, conceptual designs and feasibility studies, and other mission critical applications such as command-and-control centers. This candidate shall be capable of executing basic access control, intrusion alarm, and surveillance design projects independently, taking established design criteria through generation of design plans and specifications for permitting and construction. The candidate shall also be capable as serving as a key contributor in part of a larger security design team on large and/or complex mission critical projects under the guidance of a senior engineer. The security design scope will be a part of a broader project and therefore this candidate should be capable of interfacing with design leads within SMC (mechanical, electrical, telecommunication, A/V) as well as externally including architectural, civil, structural, etc. The ideal candidate will be comfortable mentoring recent graduates and junior designers and engineers, reviewing the work of others, and collaborating with senior engineers to implement broad project goals. RESPONSIBILITIES This candidate shall have the opportunity to execute access control, intrusion alarm, and surveillance design of various project types while working and coordinating with clients and design leads from all disciplines, as well as serve as the daily lead on smaller projects. This candidate shall have the ability to communicate effectively with co-workers and with clients while being able to meet scheduled project deadlines. Responsibilities include but are not limited to: • Design access control, intrusion alarm, and surveillance systems and infrastructure for mission critical buildings and campuses including campus Perimeter Intrusion Detection Systems (PIDS) as well as vehicle and pedestrian entrances and exits. Design infrastructure, inside plant cabling, cable tray and conduit conveyance systems, security space layouts, security network systems, that include access control and intrusion wall and rack elevations. ., • Produce complete sets of construction drawings suitable for stamping and submission utilizing Autodesk Revit., • Working knowledge of access control and intrusion alarm system software(ACS), and video management systems software (VMS) and Manufacturer’s standards, ., • Coordinate with all disciplines for required security interfaces., • Knowledge of, and understanding of Division 28 Specifications and Industry standards., • Coordinate power requirements with internal or external electrical and Telecommunication engineers., • Be capable of reviewing and understanding client standards and BOD, design criteria, applicable standards, and best practices in order to apply them to a design project., • Understand local and national construction codes and project specifications., • Have experience with the use of Microsoft tools such as Word, Power Point, Excel, and Teams., • Meet project deadlines, including working necessary hours to complete major deliverables., • Have the ability to travel when required to project sites (less than 10% travel)., • Have the ability to clearly communicate with others in both written and spoken forms., • Lead junior engineers, designers, and modelers, and coordinate the tasks of small project teams to execute delivery of specific design elements., • Mentor and train junior engineers, designers and modelers to assist in developing telecommunications design knowledge base., • Education in an engineering or construction-related field, or equivalent hands-on experience., • Minimum of 4 years of experience in telecommunications design, with a strong emphasis on Autodesk Revit for drawing development. Experience with MEP or telecommunications firms, consulting roles, or telecommunications construction will also be considered, • Minimum 2 years of experience with an MEP/technology consulting firm or specialty access control and surveillance consulting firm., • Experience in access control, intrusion alarm, and surveillance design for industrial and commercial buildings., • Experience in access control, intrusion alarm, and surveillance design for mission critical projects is a plus., • Experience working across the entire construction process, from schematic design through construction administration, including review of submittals, RFIs, and Integrator’s shop drawings, and field work such as existing condition surveys, site observations, and punch lists., • Experience using construction management tools such as Procore and Autodesk Construction Cloud., • Experience with design of telecommunications systems is not required but would be a plus., • Knowledge of controls and monitoring systems for mechanical and electrical systems is a plus. Base Compensation: $75,000-$125,000 (Actual compensation is subject to variation due to factors such as education, experience, skills and/or location) SMC offers a competitive benefits package, with a 36-hour standard work week, hybrid working arrangement, 13 paid holidays, 100% coverage of medical, health, and dental insurance premiums for our full-time employees, and reimbursement of professional licensing costs. Spouse and family insurance premiums are subsidized by SMC. All full-time employees are additionally eligible for employer-sponsored life and long-term disability insurance as well as participation in our 401(k) plan, with annual safe harbor contribution.

Job Description Strategic Mission Critical: At Strategic Mission Critical (SMC), we are more than just engineers; we are experts focusing solely on mission critical facilities. Our seasoned leadership team brings together decades of experience, equipping data center providers worldwide with robust, reliable solutions that keep pace with the evolving digital landscape. With a rapidly expanding market and the anticipated increase in demand driven by AI advancements, SMC is at the forefront of industry growth. We offer not just jobs, but career paths that reward innovation and expertise. If you want to work alongside highly skilled professionals with years of mission critical experience, then we want you to be part of a team, a team that works on major projects for top-tier data center providers. Your work will ensure the resilience and efficiency of data infrastructure that millions depend on. Position Opening: SMC is actively looking for a Mid-Level Electrical Engineer to execute electrical design for mission critical projects. Typical project types may include design of greenfield and brownfield data center facilities, design of fit-out packages for hyperscale and enterprise clients of colocation providers, data center campus planning, conceptual designs and feasibility studies, and power systems studies such as Neher-McGrath, short circuit, coordination, and arc flash. This candidate shall be capable of executing basic electrical design projects independently, taking established design criteria through generation of design plans and specifications for permitting and construction. The candidate shall also be capable as serving as a key contributor in part of a larger electrical design team on large and/or complex mission critical projects under the guidance of a senior engineer. The electrical design scope will be a part of a broader project and therefore this candidate should be capable of interfacing with design leads within SMC (mechanical, telecommunications, fire protection, plumbing) as well as externally including architectural, civil, structural, etc. The ideal candidate will be comfortable mentoring recent graduates and junior designers and engineers, reviewing the work of others, and collaborating with senior engineers to implement broad project goals. RESPONSIBILITIES: This candidate will have the opportunity to execute electrical design of various project types while working and coordinating with clients and design leads from all disciplines, as well as serve as the daily lead on smaller projects. This candidate shall have the ability to communicate effectively with co-workers and with clients while being able to meet scheduled project deadlines. Responsibilities include but are not limited to: • Design electrical infrastructure for mission critical buildings and campuses including medium voltage distribution; highly redundant power systems including various redundancy topologies such as distributed and block redundant; on-site generation and UPS backup; typical building systems such as small power, lighting, grounding, and fire alarm., • Coordinate with all internal and external disciplines for required electrical power connections., • Coordinate monitoring system interfaces for electrical equipment with controls and telecommunications engineers., • Be familiar with the basics of electrical power monitoring systems (EPMS)., • Be capable of reviewing and understanding client standards, design criteria, applicable standards, and best practices in order to apply them to a design project., • Understand local and national construction codes and project specifications., • Utilize Autodesk Revit on a daily basis to produce detailed design documents., • Have experience with the use of Microsoft tools such as Word, Power Point, Excel, and Teams., • Meet project deadlines, including working necessary hours to complete major deliverables., • Have the ability to travel when required to project sites (approximately 10-20% travel)., • Have the ability to clearly communicate with others in both written and spoken forms., • Lead junior engineers, designers, and modelers, and coordinate the tasks of small project teams to execute delivery of specific design elements., • Mentor and train junior engineers, designers and modelers to assist in developing electrical design knowledge base., • 4-year degree in electrical engineering or architectural engineering with an electrical focus preferred. 2-year degrees and EET degrees with work experience will be considered., • Minimum 4 years of experience in facility electrical design, particularly using Autodesk Revit for drawing development., • Experience in electrical design for larger industrial and commercial buildings is preferred, with experience in mission critical design a plus., • Experience performing and reviewing power studies such as Neher-McGrath, short circuit, coordination, and arc flash is a plus. Familiarity with these studies is preferred., • Experience working across the entire construction process, from schematic design through construction administration, including review of submittals and shop drawings, and field work such as existing condition surveys, site observations, and punch lists., • Experience leading small electrical design teams and having some client interface experience is preferred., • Experience using construction management tools such as Procore and Autodesk Construction Cloud., • Basic understanding of power monitoring systems for electrical systems is a plus., • Engineer-in-Training (EIT) or Professional Engineer (PE) preferred. COMPENSATION: Base Compensation: $90,000-$225,000 (Actual compensation is subject to variation due to factors such as education, experience, skills and/or location) SMC offers a competitive benefits package, with a 36-hour standard work week, hybrid working arrangement, 13 paid holidays, 100% coverage of medical, health, and dental insurance premiums for our full-time employees, and reimbursement of professional licensing costs. Spouse and family insurance premiums are subsidized by SMC. All full-time employees are additionally eligible for employer-sponsored life and long-term disability insurance as well as participation in our 401(k) plan, with annual safe harbor contribution.

Job Description Engineering data centers with precision and expertise. At Strategic Mission Critical, we are more than just engineers; we are experts focusing solely on mission critical facilities. Our seasoned leadership team brings together decades of experience, equipping data center providers worldwide with robust, reliable solutions that keep pace with the evolving digital landscape. With a rapidly expanding market and the anticipated increase in demand driven by AI advancements, SMC is at the forefront of industry growth. We offer not just jobs, but career paths that reward innovation and expertise. If you want to work alongside highly skilled professionals with years of mission critical experience, then we want you to be part of our team, a team that works on major projects for top-tier data center providers. Your work will ensure the resilience and efficiency of data infrastructure that millions depend on. SMC is actively looking for a Mid-Level Electrical Engineer to execute electrical design for mission critical projects. Typical project types may include design of greenfield and brownfield data center facilities, design of fit-out packages for hyperscale and enterprise clients of colocation providers, data center campus planning, conceptual designs and feasibility studies, and power systems studies such as Neher-McGrath, short circuit, coordination, and arc flash. This candidate shall be capable of executing basic electrical design projects independently, taking established design criteria through generation of design plans and specifications for permitting and construction. The candidate shall also be capable as serving as a key contributor in part of a larger electrical design team on large and/or complex mission critical projects under the guidance of a senior engineer. The electrical design scope will be a part of a broader project and therefore this candidate should be capable of interfacing with design leads within SMC (mechanical, telecommunications, fire protection, plumbing) as well as externally including architectural, civil, structural, etc. The ideal candidate will be comfortable mentoring recent graduates and junior designers and engineers, reviewing the work of others, and collaborating with senior engineers to implement broad project goals. RESPONSIBILITIES This candidate will have the opportunity to execute electrical design of various project types while working and coordinating with clients and design leads from all disciplines, as well as serve as the daily lead on smaller projects. This candidate shall have the ability to communicate effectively with co-workers and with clients while being able to meet scheduled project deadlines. Responsibilities include but are not limited to: • Design electrical infrastructure for mission critical buildings and campuses including medium voltage distribution; highly redundant power systems including various redundancy topologies such as distributed and block redundant; on-site generation and UPS backup; typical building systems such as small power, lighting, grounding, and fire alarm., • Coordinate with all internal and external disciplines for required electrical power connections., • Coordinate monitoring system interfaces for electrical equipment with controls and telecommunications engineers., • Be familiar with the basics of electrical power monitoring systems (EPMS)., • Be capable of reviewing and understanding client standards, design criteria, applicable standards, and best practices in order to apply them to a design project., • Understand local and national construction codes and project specifications., • Utilize Autodesk Revit on a daily basis to produce detailed design documents., • Have experience with the use of Microsoft tools such as Word, Power Point, Excel, and Teams., • Meet project deadlines, including working necessary hours to complete major deliverables., • Have the ability to travel when required to project sites (approximately 10-20% travel)., • Have the ability to clearly communicate with others in both written and spoken forms., • Lead junior engineers, designers, and modelers, and coordinate the tasks of small project teams to execute delivery of specific design elements., • Mentor and train junior engineers, designers and modelers to assist in developing electrical design knowledge base., • 4-year degree in electrical engineering or architectural engineering with an electrical focus preferred. 2-year degrees and EET degrees with work experience will be considered., • Minimum 4 years of experience in facility electrical design, particularly using Autodesk Revit for drawing development., • Experience in electrical design for larger industrial and commercial buildings is preferred, with experience in mission critical design a plus., • Experience performing and reviewing power studies such as Neher-McGrath, short circuit, coordination, and arc flash is a plus. Familiarity with these studies is preferred., • Experience working across the entire construction process, from schematic design through construction administration, including review of submittals and shop drawings, and field work such as existing condition surveys, site observations, and punch lists., • Experience leading small electrical design teams and having some client interface experience is preferred., • Experience using construction management tools such as Procore and Autodesk Construction Cloud., • Basic understanding of power monitoring systems for electrical systems is a plus. This position will begin as remote, with plans to transition to a hybrid role as we continue to grow. We anticipate establishing offices in both the Austin and Dallas–Fort Worth metro areas in the near future, at which point it will become a hybrid role. COMPENSATION Base Compensation: $90,000-$225,000 (Actual compensation is subject to variation due to factors such as education, experience, skills and/or location). SMC offers a competitive benefits package, with a 36-hour standard work week, hybrid working arrangement, 13 paid holidays, 100% coverage of medical, health, and dental insurance premiums for our full-time employees, and reimbursement of professional licensing costs. Spouse and family insurance premiums are subsidized by SMC. All full-time employees are additionally eligible for employer-sponsored life and long-term disability insurance as well as participation in our 401(k) plan, with annual safe harbor contribution.

Job Description HRP Associates, Inc. is seeking highly skilled and motivated Remedial Environmental Engineers with 10+ years of experience to join one of our offices in either Farmington, CT, Clifton Park, NY, Plymouth, MA, or Greenville, SC. Successful candidates will be responsible for designing and implementing remedial solutions for soil, groundwater, and soil vapor contamination projects. This role requires a strong technical background, excellent problem-solving skills, and the ability to work collaboratively with multidisciplinary teams. If this sounds like the career move you have been waiting to make and if you meet our qualifications, we want to talk with you! Responsibilities: • Develop and design remedial strategies for soil, groundwater, and soil vapor contamination, • Conduct site assessments, including soil and groundwater sampling and analysis, • Prepare detailed reports, including remedial design plans, cost estimates, and project schedules, • Oversee the implementation of remediation projects, ensuring compliance with environmental regulations and standards, • Collaborate with clients, regulatory agencies, and other stakeholders to ensure project success, • Monitor and evaluate the effectiveness of remediation efforts and make necessary adjustments, • Bachelor's degree in Environmental Engineering or a related field- Master's degree is a plus, • Must have a Professional Engineer (PE) license, • Minimum of 10 years of experience in environmental engineering, with a focus on remedial design for soil, groundwater, and soil vapor projects, • Familiarity with remedial technologies such as:, • In Situ Chemical Oxidation (ISCO), • Bioremediation, • Soil Vapor Extraction (SVE), • Air Sparging, • Permeable Reactive Barriers (PRBs), • Multi-Phase Extraction (MPE), • In Situ Stabilization (ISS), • Strong knowledge of environmental regulations and standards, • Proficiency in using environmental modeling and design software, • Excellent written and verbal communication skills, • Ability to work independently and as part of a team The vision of HRP Associates, Inc., is reliant on the expertise of our dedicated professionals who provide excellent consultation to our loyal clientele. We lead the industry in our commitment to employee growth and satisfaction in a positive, gratifying, and challenging workplace environment. We offer professional development opportunities, competitive salaries, and an excellent benefits package to qualified employees. We are always searching for top talent to join our growing team throughout HRP’s various locations. We constantly promote a fun and dynamic company culture, as well as a great work-life balance. Ideal candidates will enjoy working in team settings, participating in company-wide events and outings, possess a positive attitude, and can relate to our internal cultural motto of, “Work hard, play hard!” Other major benefits include: • Medical, Dental and Vision Coverage, • Life/Disability Insurance, • Company-sponsored Profit-Sharing Pension Plan, • 401(k) Retirement Plan, • Paid Holidays and Vacations Employee Resource Groups (ERGs) such as: • HRP Women - supports the professional and personal development for women employees while bringing awareness to women’s issues and fostering an inclusive environment., • 312 Committee - organizes employee events to support our culture and employee relationships, • Giving Group - coordinates events with local charities and organizations HRP Associates, Inc. is a full-service environmental engineering and hydrogeology firm headquartered in Farmington, CT, with regional offices in Derby (CT); Plymouth, Massachusetts; Saint Charles, Missouri; Clifton Park, New York; Greenville & Charleston, South Carolina; and Winston-Salem, North Carolina. We also have satellite offices in Charlotte, North Carolina; San Diego, California; and Houston, Texas. HRP's staff of professionals includes chemical, civil, geotechnical, and environmental engineers; inspectors; geologists; hydrogeologists; and industrial hygienists. For more information on job postings in all our offices and to find out more about the company, please visit our website at and our YouTube channel at . HRP is an Equal Opportunity/Affirmative Action Employer.

Job Description Senior Data Integration & ETL Engineer Location : One Day in a week on site Albany NY Duration : Long-term Contract Client : Government Agency Start Date : ASAP About the Role We are seeking a highly skilled Senior Data Integration & ETL Engineer to support a large-scale data analytics and data interchange initiative for a government client. The ideal consultant will have deep experience building and maintaining complex data pipelines, integrating diverse data sources, and supporting analytics environments. This role requires a strong foundation in ETL development, data modeling, SQL, and data interchange systems. Candidates must meet all minimum qualifications to be considered. Minimum Qualifications (Required) Candidates must meet all of the following: ✔ M1 — Education Experience developing and maintaining data interchange systems involving: • Flat files, • Direct database connections, • XML transactions Hands-on experience with ETL tools such as: • Informatica, Talend, SSIS, DataStage, Pentaho Experience designing: • Logical and physical data models, • Dimensional models (star/snowflake) Experience developing ETL pipelines specifically to support: • Data analytics, • BI environments Strong SQL experience including: • Complex joins, • Stored procedures, • Query optimization Preferred Qualifications (Nice to Have) P1 — Python scripting experience P2 — Tableau Server Administration (1+ year) P3 — Customer-facing experience in data validation, troubleshooting, or requirements gathering P4 — Statistics coursework or 1+ year using statistics professionally P5 — SQL or PL/SQL database development P6 — ETL pipelines supporting Tableau analytics P7 — ETL experience supporting a government data analytics program Key Responsibilities • Develop and maintain ETL pipelines to support analytics and reporting, • Integrate data from diverse sources including flat files, XML, and direct DB connections, • Design and optimize data models for analytics, • Collaborate with business users on data validation and requirements, • Support data quality, data governance, and troubleshooting efforts, • Work with BI teams to ensure data readiness for dashboards and reporting Required Skills • ETL development, • SQL (advanced), • Data modeling, • Data integration, • XML, flat files, relational databases, • Analytics-focused data engineering

Job Description Engineering data centers with precision and expertise. At Strategic Mission Critical, we are more than just engineers; we are experts focusing solely on mission critical facilities. Our seasoned leadership team brings together decades of experience, equipping data center providers worldwide with robust, reliable solutions that keep pace with the evolving digital landscape. With a rapidly expanding market and the anticipated increase in demand driven by AI advancements, SMC is at the forefront of industry growth. We offer not just jobs, but career paths that reward innovation and expertise. If you want to work alongside highly skilled professionals with years of mission critical experience, then we want you to be part of a team, a team that works on major projects for top-tier data center providers. Your work will ensure the resilience and efficiency of data infrastructure that millions depend on. SMC is actively looking for Entry-Level Plumbing Designer to execute plumbing design for mission critical projects. Typical project types may include design of greenfield and brownfield data center facilities, design of fit-out packages for hyperscale and enterprise clients of colocation providers, data center campus planning, conceptual designs and feasibility studies, and various system calculations. This candidate shall be capable of executing basic plumbing design projects with direction, taking established design criteria through generation of design plans and specifications for permitting and construction. The candidate shall also be capable as serving as a contributor in part of a larger plumbing design team on large and/or complex mission critical projects under the guidance of a mid-level/ senior engineer. The plumbing design scope will be a part of a broader project and therefore this candidate should be capable of interfacing with design leads within SMC (electrical, telecommunications, fire protection, mechanical) as well as externally including architectural, civil, structural, etc. RESPONSIBILITIES This candidate will have the opportunity to execute plumbing design of various project types while working and coordinating with clients and design leads from all disciplines. This candidate shall have the ability to communicate effectively with co-workers and with clients while being able to meet scheduled project deadlines. Responsibilities include but are not limited to: • Utilize Autodesk Revit to produce detailed design documents from schematic design to construction., • Implement redlines and markups into model and drawing sheets., • Meet project deadlines, including working necessary hours to complete major deliverables., • Have the ability to clearly communicate with others in both written and spoken forms., • Collaborate with departmental staff on various tasks., • Coordinate pipe routing and equipment locations with mechanical, electrical, civil, and fire engineers., • Maintain excellent organizational skills, with the ability to manage multiple tasks simultaneously., • 1-2 years of experience in Autodesk Revit for drawing development., • Experience in plumbing design for larger industrial and commercial buildings is preferred, with experience in mission critical design a plus., • Have experience with the use of Microsoft tools such as Word, PowerPoint, Excel and Teams. Base Compensation: $45,000-$100,000 (Actual compensation is subject to variation due to factors such as education, experience, skills and/or location) SMC offers a competitive benefits package, with a 36-hour standard work week, hybrid working arrangement, 13 paid holidays, 100% coverage of medical, health, and dental insurance premiums for our full-time employees, and reimbursement of professional licensing costs. Spouse and family insurance premiums are subsidized by SMC. All full-time employees are additionally eligible for employer-sponsored life and long-term disability insurance as well as participation in our 401(k) plan, with annual safe harbor contribution.

Job Description Engineering data centers with precision and expertise. At Strategic Mission Critical, we are more than just engineers; we are experts focusing solely on mission critical facilities. Our seasoned leadership team brings together decades of experience, equipping data center providers worldwide with robust, reliable solutions that keep pace with the evolving digital landscape. With a rapidly expanding market and the anticipated increase in demand driven by AI advancements, SMC is at the forefront of industry growth. We offer not just jobs, but career paths that reward innovation and expertise. If you want to work alongside highly skilled professionals with years of mission critical experience, then we want you to be part of a team, a team that works on major projects for top-tier data center providers. Your work will ensure the resilience and efficiency of data infrastructure that millions depend on. SMC is actively looking for Entry Level Mechanical Engineer/Designer to help execute mechanical design for mission critical projects. Typical project types may include design of greenfield and brownfield data center facilities, design of fit-out packages for hyperscale and enterprise clients of colocation providers, data center campus planning, conceptual designs and feasibility studies, and various system calculations. This candidate will execute specific design tasks as part of a broader mechanical team while furthering their own knowledge and developing their skills. The candidate will typically work under the guidance of senior and/or mid-level engineers. The mechanical design scope will be a part of a broader project and therefore this candidate will learn to interface with design leads within SMC (electrical, telecommunications, fire protection, plumbing) as well as externally including architectural, civil, structural, etc. The ideal candidate has a strong work ethic, is eager to learn, and wants to grow their expertise and career at as rapid a pace as suits them. This position is open to full time, part time, and internship/co-op applicants. RESPONSIBILITIES This candidate will have the opportunity to execute specific mechanical design tasks for various project types while working and coordinating with clients and design leads from all disciplines. This candidate shall have the ability to communicate effectively with co-workers and with clients while being able to meet scheduled project deadlines. They will be a self-starter not afraid to do independent research in addition to directly-assigned project work in order to further their career growth. Responsibilities include but are not limited to: • Utilize Autodesk Revit to produce detailed design documents., • Assist with performing airside and hydronic calculations for multiple mechanical systems., • Build an understanding and ability to develop hydronic & airflow flow diagrams., • Learn how to select and specify HVAC equipment, • Assist with meeting project deadlines, including working necessary hours to complete major deliverables., • Review and gain an understanding of local and national construction codes and project specifications to grow a broader understanding of the construction process., • Have experience with the use of Microsoft tools such as Word, Power Point, Excel, and Teams., • Have the ability to travel when required to project sites (less than 10% travel)., • Have the ability to clearly communicate with others in both written and spoken forms., • Be willing to take direction from senior and mid-level engineers and designers in order to execute delivery of specific design elements., • Be able to work independently while coordinating with senior personnel and other disciplines., • Be an active participant in training and mentoring opportunities in order to grow knowledge and capabilities., • Maintain excellent organizational skills, with the ability to manage multiple tasks simultaneously QUALIFICATIONS • 2 or 4-year degree in mechanical engineering or mechanical engineering technology preferred, HVAC construction experience with a drafting certification will be considered as well., • Past internship, co-op, or work experience in a consulting engineering role is a plus., • Experience working in the construction industry is a plus., • Experience using Revit in either an educational or professional context is a plus., • Engineer-in-Training (EIT) is a plus. COMPENSATION Base Compensation: $45,000-$150,000 (Actual compensation is subject to variation due to factors such as education, experience, skills and/or location) SMC offers a competitive benefits package, with a 36-hour standard work week, hybrid working arrangement, 13 paid holidays, 100% coverage of medical, health, and dental insurance premiums for our full-time employees, and reimbursement of professional licensing costs. Spouse and family insurance premiums are subsidized by SMC. All full-time employees are additionally eligible for employer-sponsored life and long-term disability insurance as well as participation in our 401(k) plan, with annual safe harbor contribution.

Job Description Job Opening: Senior Mechanical Engineering Consultant Engineering data centers with precision and expertise. At Strategic Mission Critical, we are more than just engineers; we are experts focusing solely on mission critical facilities. Our seasoned leadership team brings together decades of experience, equipping data center providers worldwide with robust, reliable solutions that keep pace with the evolving digital landscape. With a rapidly expanding market and the AI adoption driving huge growth in the data center market, SMC is at the forefront of industry growth. We offer not just jobs, but career paths that reward innovation and expertise. If you want to work alongside highly skilled professionals with years of mission critical experience, then we want you to be part of our team, a team that works on major projects for top-tier data center providers. Your work will ensure the resilience and efficiency of data infrastructure that millions depend on. SMC’s Solutions Team is actively looking for a Senior Mechanical Engineering Consultant to support live mission critical operations and manage commissioning services for mission critical projects. Typical project types may include in-depth audits of live data center facilities, root cause analysis (RCA) investigations, operations training, auditing project deliverables, oversite of project commissioning firm for ownership, and commissioning process guidance for contractors. This candidate shall be capable of analyzing mission critical system operations offering technical guidance to resolve identified deficiencies in efficiency, operation, or maintenance, evaluating and conduct training for facility operations staff, and reviewing design and construction deliverables for accuracy and quality. Additionally, this candidate shall be skilled in building commissioning management for assisting data center providers in onboarding commissioning agents, defining deliverables, schedule, and testing rigor, and guiding contractors through the commissioning process. The ideal candidate will also be involved in growing the expertise within the company, through internal training; development and implementation of design standards; oversight and execution of quality control practices. RESPONSIBILITIES This candidate will have the opportunity to engage with client’s construction and operations teams bring engineering guidance and commissioning expertise out into the field. This candidate shall have the ability to communicate effectively with co-workers and with clients while being able to meet scheduled project deadlines. Responsibilities include but are not limited to: • Audit facility mechanical equipment and systems for end-of-life replacement, sale/purchase, and maintenance efficacy., • Perform technical analysis of mechanical systems operation versus design intent and efficiency opportunities., • Conduct quality reviews of project documentation such as Testing, Adjusting, and Balancing (TAB) reports, commissioning reports, O&M procedures, etc., • Oversee commissioning agent engagement, deliverables, and execution., • Lead others through the commissioning process including documentation, scheduling, and logistics., • Meet project milestones, including working necessary hours to conduct scope., • When required, travel to project sites to conduct scope (approximately 30-50% travel)., • Clearly communicate with others in both written and spoken forms., • Lead other engineers and consultants coordinating the tasks of multiple teams to execute project delivery of several projects simultaneously., • Mentor and train other engineers and consultants to develop knowledge base., • Be able to work independently while coordinating with senior personnel and other disciplines., • Maintain a strong working knowledge of mechanical systems., • Maintain excellent organizational skills, with the ability to manage multiple tasks simultaneously. QUALIFICATIONS • Preferred four (4) year degree in mechanical engineering or architectural engineering with a mechanical focus. Two (2) year degrees and MET degrees with work experience will be considered., • Minimum ten (10) years of experience in engineering consulting or building commissioning., • Experience in larger industrial and commercial buildings is preferred, with experience in mission critical a strong emphasis., • Familiarity with chilled water, airside, plumbing, fire protection, and fuel oil systems is of high importance., • Experience working across the entire construction process, from schematic design through construction administration, including review of design drawings, specifications, and submittals, and field work such as site surveys, site observations, and punch lists., • Experience interfacing with client, contractor, and operation teams is strongly preferred., • Strong knowledge of controls and monitoring systems for mechanical systems is an emphasis., • Experience with commissioning management tools such as CxAlloy and BIM360 and construction management tools such as Procore, Autodesk Construction Cloud, and Helix., • Professional Engineer (PE) License or Engineer-In-Training (EIT) path to PE is a plus; however unlicensed candidates with appropriate on-the-job experience are welcome to apply., • Have experience with the use of Bluebeam and Microsoft tools such as Word, Power Point, Excel, and Teams. COMPENSATION Base Compensation: $150,000 - $300,000 Annually (Actual compensation is subject to variation due to factors such as education, experience, skills and/or location) SMC offers a competitive benefits package, with a 36-hour standard work week, hybrid working arrangement, 13 paid holidays, 100% coverage of medical, health, and dental insurance premiums for our full-time employees, and reimbursement of professional licensing costs. Spouse and family insurance premiums are subsidized by SMC. All full-time employees are additionally eligible for employer-sponsored life and long-term disability insurance as well as participation in our 401(k) plan, with annual safe harbor contribution.

Job DescriptionKitware is seeking an accomplished and visionary scientist or engineer to spearhead the creation of a new team dedicated to AI-driven scientific discovery. This is a rare opportunity to shape and lead a cutting-edge research group at the intersection of artificial intelligence, high-performance computing (HPC), and large-scale scientific experimentation. In this role, you will leverage Kitware’s deep expertise in computer vision, AI, HPC, medical imaging, and scientific software development to drive innovative research programs. You will be responsible for securing funding from government agencies and private sector partners to advance AI-enhanced methodologies that accelerate scientific breakthroughs.In This Position You Will: • Team Formation & Leadership: Build and lead a high-impact, interdisciplinary team of scientists and engineers focused on AI-driven scientific discovery., • Research & Development: Design and implement novel AI-based approaches to solve complex scientific challenges, with applications in materials science, energy technologies, large-scale experimental facilities, and HPC-based simulations., • Collaboration & Integration: Collaborate with Kitware’s existing experts in C++, Python, CMake, VTK, ParaView, and Trame to develop state-of-the-art computational modeling, data analysis, and visualization workflows., • Funding & Partnerships: Secure research funding through grant proposals and industry partnerships, driving the team’s growth and expanding Kitware’s impact in AI-enabled scientific discovery.Required Qualifications:, • Ph.D. in a relevant field (e.g., computer science, physics, engineering, applied mathematics) with a strong track record of AI-driven scientific research., • Proven ability to obtain research funding and manage large-scale, grant-funded projects., • Experience leading or collaborating with interdisciplinary teams., • Familiarity with HPC environments and large-scale simulations., • Excellent communication and leadership skills, with the ability to build partnerships across academia, government, and industry., • Due to contractual restrictions, only candidates who are U.S. persons (citizens, permanent residents, asylees, or refugees) will be considered for this position.Why Join Kitware:, • Innovative Environment: Work with a team of experts committed to open science and cutting-edge technological advancement., • Impactful Research: Lead projects with the potential to transform scientific discovery through AI-driven methods.

Job Description Engineering data centers with precision and expertise. At Strategic Mission Critical, we are more than just engineers; we are experts focusing solely on mission critical facilities. Our seasoned leadership team brings together decades of experience, equipping data center providers worldwide with robust, reliable solutions that keep pace with the evolving digital landscape. With a rapidly expanding market and the anticipated increase in demand driven by AI advancements, SMC is at the forefront of industry growth. We offer not just jobs, but career paths that reward innovation and expertise. If you want to work alongside highly skilled professionals with years of mission critical experience, then we want you to be part of our team, a team that works on major projects for top-tier data center providers. Your work will ensure the resilience and efficiency of data infrastructure that millions depend on. SMC is actively looking for an Entry Level Electrical Engineer / Designer to help execute electrical design for mission critical projects. Typical project types may include design of greenfield and brownfield data center facilities, design of fit-out packages for hyperscale and enterprise clients of colocation providers, data center campus planning, conceptual designs and feasibility studies, and power systems studies such as Neher-McGrath, short circuit, coordination, and arc flash. This candidate will execute specific design tasks as part of a broader electrical team while furthering their own knowledge and developing their skills. The candidate will typically work under the guidance of senior and/or mid-level engineers. The electrical design scope will be a part of a broader project and therefore this candidate will learn to interface with design leads within SMC (mechanical, telecommunications, fire protection, plumbing) as well as externally including architectural, civil, structural, etc. The ideal candidate has a strong work ethic, is eager to learn, and wants to grow their expertise and career at as rapid a pace as suits them. This position is open to full time, part time, and internship/co-op applicants. RESPONSIBILITIES This candidate will have the opportunity to execute specific electrical design tasks for various project types while working and coordinating with clients and design leads from all disciplines. This candidate shall have the ability to communicate effectively with co-workers and with clients while being able to meet scheduled project deadlines. They will be a self-starter not afraid to do independent research in addition to directly-assigned project work in order to further their career growth. Responsibilities include but are not limited to: • Assist with the design and drawing of electrical infrastructure for mission critical buildings and campuses including medium voltage distribution; highly redundant power systems including various redundancy topologies such as distributed and block redundant; on-site generation and UPS backup; typical building systems such as small power, lighting, grounding, and fire alarm., • Assist with coordination between internal and external disciplines for required electrical power connections to equipment., • Review and understand client standards, design criteria, applicable codes, and best practices and work with senior engineers to understand how they impact the design of each project., • Review and gain an understanding of local and national construction codes and project specifications to grow a broader understanding of the construction process., • Utilize Autodesk Revit on a daily basis to produce detailed design documents., • Have experience with the use of Microsoft tools such as Word, Power Point, Excel, and Teams., • Meet project deadlines, including working necessary hours to complete major deliverables., • Have the ability to travel when required to project sites and/or meetings (less than 10% travel)., • Have the ability to clearly communicate with others in both written and spoken forms., • Be willing to take direction from senior and mid-level engineers and designers in order to execute delivery of specific design elements., • Be an active participant in training and mentoring opportunities in order to grow knowledge and capabilities., • 2 or 4-year degree in electrical engineering or electrical engineering technology preferred, electrical construction experience with a drafting certification will be considered as well., • Past internship, co-op, or work experience in consulting engineering role is a plus., • Experience working in the construction industry is a plus., • Experience using Revit in either an educational or professional context is a plus. Base Compensation: $45,000-$150,000 (Actual compensation is subject to variation due to factors such as education, experience, skills, and/or location) SMC offers a competitive benefits package, with a 36-hour standard work week, hybrid working arrangement, 13 paid holidays, 100% coverage of medical, health, and dental insurance premiums for our full-time employees, and reimbursement of professional licensing costs. Spouse and family insurance premiums are subsidized by SMC. All full-time employees are additionally eligible for employer-sponsored life and long-term disability insurance as well as participation in our 401(k) plan, with annual safe harbor contribution.

Job Description Engineering data centers with precision and expertise. At Strategic Mission Critical, we are more than just engineers; we are experts focusing solely on mission critical facilities. Our seasoned leadership team brings together decades of experience, equipping data center providers worldwide with robust, reliable solutions that keep pace with the evolving digital landscape. With a rapidly expanding market and the anticipated increase in demand driven by AI advancements, SMC is at the forefront of industry growth. We offer not just jobs, but career paths that reward innovation and expertise. If you want to work alongside highly skilled professionals with years of mission critical experience, then we want you to be part of our team, a team that works on major projects for top-tier data center providers. Your work will ensure the resilience and efficiency of data infrastructure that millions depend on. SMC is actively looking for a ICT Designer to execute telecommunications design for mission critical projects. Typical project types may include design of greenfield and brownfield data center facilities, design of fit-out packages for hyperscale and enterprise clients of colocation providers, data center campus planning, conceptual designs and feasibility studies, and other mission critical applications such as command-and-control centers. This candidate shall be capable of executing basic telecommunications design projects independently, taking established design criteria through generation of design plans and specifications for permitting and construction. The candidate shall also be capable as serving as a key contributor in part of a larger telecommunications design team on large and/or complex mission critical projects under the guidance of a senior engineer. The telecommunications design scope will be a part of a broader project and therefore this candidate should be capable of interfacing with design leads within SMC (mechanical, electrical, A/V) as well as externally including architectural, civil, structural, etc. The ideal candidate will be comfortable mentoring recent graduates and junior designers and engineers, reviewing the work of others, and collaborating with senior engineers to implement broad project goals. RESPONSIBILITIES This candidate will have the opportunity to execute telecommunications design of various project types while working and coordinating with clients and design leads from all disciplines, as well as serve as the daily lead on smaller projects. This candidate shall have the ability to communicate effectively with co-workers and with clients while being able to meet scheduled project deadlines. Responsibilities include but are not limited to: • Design telecommunications infrastructure for mission critical buildings and campuses including outside plant infrastructure, inside plant cabling, cable tray and conduit conveyance systems, telecommunications space layouts, telecommunications bonding network systems, rack elevations, wireless access point layouts, and communications for MEP controls/monitoring systems., • Produce complete sets of construction drawings suitable for stamping and submission utilizing Autodesk Revit., • Working knowledge of Telecommunications standards, including but not limited to TIA, BICSI, and UL., • Coordinate with all disciplines for required telecommunication interfaces., • Editing, and understanding of Division 27 Specifications., • Coordinate power requirements with internal or external electrical engineers., • Be capable of reviewing and understanding client standards, design criteria, applicable standards, and best practices in order to apply them to a design project., • Serve as a trusted advisor and subject matter expert to clients for telecommunications design and all aspects of Division 27., • Understand local and national construction codes and project specifications., • Have experience with the use of Microsoft tools such as Word, Power Point, Excel, and Teams., • Meet project deadlines, including working necessary hours to complete major deliverables., • Have the ability to travel when required to project sites (less than 10% travel)., • Have the ability to clearly communicate with others in both written and spoken forms., • Lead junior engineers, designers, and modelers, and coordinate the tasks of small project teams to execute delivery of specific design elements., • Mentor and train junior engineers, designers and modelers to assist in developing telecommunications design knowledge base., • Education in an engineering or construction-related field, or equivalent hands-on experience., • Minimum of 4 years of experience in telecommunications design, with a strong emphasis on Autodesk Revit for drawing development. Experience with MEP or telecommunications firms, consulting roles, or telecommunications construction will also be considered, • Minimum 2 years of experience with an MEP/Telecommunications consulting firm or specialty telecommunications consulting firm., • Experience in telecommunications design for industrial and commercial buildings., • Experience in telecommunications design for mission critical projects is a plus., • Experience working across the entire construction process, from schematic design through construction administration, including review of submittals, RFIs, and shop drawings, and field work such as existing condition surveys, site observations, and punch lists., • Experience using construction management tools such as Procore and Autodesk Construction Cloud., • Experience with design of security and/or audio-visual systems is not required but would be a plus., • Knowledge of controls and monitoring systems for mechanical and electrical systems is a plus. Base Compensation: $75,000-$125,000 (Actual compensation is subject to variation due to factors such as education, experience, skills and/or location) SMC offers a competitive benefits package, with a 36-hour standard work week, hybrid working arrangement, 13 paid holidays, 100% coverage of medical, health, and dental insurance premiums for our full-time employees, and reimbursement of professional licensing costs. Spouse and family insurance premiums are subsidized by SMC. All full-time employees are additionally eligible for employer-sponsored life and long-term disability insurance as well as participation in our 401(k) plan, with annual safe harbor contribution.

Job Description Engineering data centers with precision and expertise. Strategic Mission Critical is made up of experts – engineers and industry leaders focusing solely on mission critical facilities. Our seasoned leadership team brings together decades of experience, equipping data center providers worldwide with robust, reliable solutions that keep pace with the evolving digital landscape. With a rapidly expanding market and the anticipated increase in demand driven by AI advancements, SMC is at the forefront of industry growth. We offer career paths that reward motivation, innovation, and expertise. If you want to work alongside highly skilled professionals with years of mission critical experience, then we want you to be part of our team – a team that works on major projects for top-tier data center providers. Your work will ensure the resilience and efficiency of data infrastructure that millions depend on. SMC is actively looking for Entry-Level Fire Protection Engineer to execute fire suppression and alarm designs for mission critical projects. Typical project types may include design of greenfield and brownfield data center facilities, design of fit-out packages for hyperscale and enterprise clients of colocation providers, data center campus planning, conceptual designs and feasibility studies, and various system calculations. This candidate shall be capable of executing basic fire suppression and alarm design projects with direction, taking established design criteria through generation of design plans and specifications for permitting and construction. The candidate shall also be capable as serving as a contributor in part of a larger fire protection design team on large and/or complex mission critical projects under the guidance of a senior engineer. The fire protection design scope will be a part of a broader project and therefore this candidate should be capable of interfacing with design leads within SMC (electrical, telecommunications, mechanical, plumbing) as well as externally including architectural, civil, structural, etc. RESPONSIBILITIES This candidate will have the opportunity to execute fire protection design of various project types while working and coordinating with clients and design leads from all disciplines. This candidate shall have the ability to communicate effectively with co-workers and with clients while being able to meet scheduled project deadlines. Responsibilities include but are not limited to: • Utilize Autodesk Revit to produce detailed design documents from schematic design to construction., • Implement redlines and markups into model and drawing sheets., • Meet project deadlines, including working necessary hours to complete major deliverables., • Have the ability to clearly communicate with others in both written and spoken forms., • Coordinate pipe routing and equipment placement with architects and civil/MEP engineers., • Collaborate with departmental staff on various tasks., • Maintain excellent organizational skills, with the ability to manage multiple tasks simultaneously., • 0-2 years of experience in Autodesk Revit for drawing development., • Experience in fire protection design for larger commercial buildings is preferred, with experience in mission critical design a plus., • Experience with the use of Microsoft tools such as Word, Outlook, PowerPoint, Excel and Teams. Base Compensation: $45,000-$100,000 (Actual compensation is subject to variation due to factors such as education, experience, skills and/or location) SMC offers a competitive benefits package, with a 36-hour standard work week, hybrid working arrangement, 13 paid holidays, 100% coverage of medical, health, and dental insurance premiums for our full-time employees, and reimbursement of professional licensing costs. Spouse and family insurance premiums are subsidized by SMC. All full-time employees are additionally eligible for employer-sponsored life and long-term disability insurance as well as participation in our 401(k) plan, with annual safe harbor contribution.

Job DescriptionSalary: Jones Petrie Rafinski (JPR), a dynamic provider of A&E services in South Bend, Fort Wayne, and Goshen, Indiana, is seeking a civil engineer to join our Water Resources division. As a multi-disciplined firm, we offer our professionals a broad variety of challenging assignments. The candidate will provide leadership, mentoring, and oversight to qualified team members within the Water Resources practice and associated staff from supporting departments. Project management and oversight of water, wastewater, and stormwater projects with the municipal infrastructure projects is typical. The candidate should also expect to engage in a wide variety of development projects in many settings. Local project and client assignments across Northern Indiana and Southern Michigan should be expected. Personal growth should be a priority for this candidate as JPR believes that professional staff members who are success-oriented will lead, learn, and mentor at the highest level. This position requires: Bachelors Degree in Civil Engineering is required. Professional Licensure in the state of Indiana is preferred. Professional Licensure in the state of MI or OH is highly favored. 3-5 years of experience in water/wastewater engineering preferred. Entry-level candidates will be considered. The candidate should have: • An ability to work in a fast-paced, team environment while actively promoting a collaborative and innovative culture., • Experience with managing and working on water/wastewater engineering projects., • A high level of proficiency in Autodesk Civil 3D., • Proficiency in ARC GIS, WaterCAD, and HydroCAD preferred., • Proficiency in MS Office, including Word, Excel, Teams and Outlook., • Excellent written, verbal and presentation skills., • Excellent organizational skills., • A creative approach to problem-solving., • An innovative mindset., • A desire to mentor and grow a project team. Responsibilities: • Manage client relationships., • Manage all phases of water/wastewater projects including planning, engineering, and construction., • Develop and manage projects from inception to completion., • Provide clear and concise documentation of design approach and implementation., • Perform analysis and design required for minor structures, systems, and equipment items., • Prepare sketches and diagrams for use by technicians., • Review and check detailed drawings and layouts., • Prepare reports, economic and technical feasibility studies, and studies aimed at evaluating alternative systems, equipment, materials or engineering methods., • Prepare contract / proposals specifications and construction cost estimates., • Review Contractor's shop drawing submittal., • Engage with department leads throughout the firms many practice disciplines., • Encourage team growth, cohesiveness, and innovation., • Perform other duties as assigned. Benefits: • 401(k), • 401(k) matching, • Health insurance, • Dental insurance, • Vision insurance, • Life insurance, • Short-term and Long-term disability, • Flexible schedule, • Paid time off, • Professional development assistance, • Student loan stipend, • Tuition reimbursement, • Unlimited career growth potential Firm Values: • We promote work-life balance at all levels, • Family First, Always., • Honor, Respect, and Engage with colleagues, clients, and community.

Job DescriptionDescription: Electrical Engineer at SMRT — Power Up Your Impact Are you ready to apply your electrical engineering expertise in a collaborative environment where innovation meets purpose? At SMRT, we design more than buildings—we create high-performing, sustainable environments that solve complex challenges. As our next Electrical Engineer, you’ll play a key role in shaping systems that support healthcare, science, education, justice, and workplace environments across the Northeast and beyond. You’ll contribute to projects from concept through construction, working alongside architects, mechanical, structural and civil engineers, and consultants to deliver smart, resilient solutions. What You’ll Do: You’ll lead and support electrical design efforts across a range of technically complex projects. • Design electrical systems from concept through completion, aligned with project goals and requirements, • Collaborate with architects, engineers, contractors, and consultants to coordinate design and documentation, • Participate in project planning, including scope, schedule, and design hour estimates, • Contribute to client relationships and help identify new opportunities We’re a multi-disciplinary team of architects, engineers, planners, and professionals who thrive on solving complex problems through design. Founded in 1884, SMRT blends legacy and innovation to deliver high-performance environments that shape communities and enhance lives. Here, your expertise is valued. Flexible work arrangements support your rhythm. Wellness benefits reflect our belief that health starts with our team. And professional development is part of the journey. We cultivate an inclusive and supportive workplace where people feel fulfilled, challenged, and accepted. For more information visit Benefits: • Flexible work environment, • 6 weeks of paid time off (vacation, sick, community service), • Healthcare, dental, vision, and life insurance, • 401(k) with automatic company contribution, • Ability to manage multiple projects and collaborate effectively with cross-disciplinary teams, • Strong communication skills—written, verbal, and visual, • Proficiency in Revit and AutoCAD, • Familiarity with electrical design software such as SKM, AGI32, or similar, • Bachelors of Science in Electrical Engineering or Electrical Engineering Technology

Job Description Navarro Research and Engineering is recruiting for a Mechanical Engineer in Niskayuna, NY. Candidate must have an active DOE L clearance or DOD equivalent to be considered. Navarro Research & Engineering is an award-winning federal contractor dedicated to partnering with clients to advance clean energy and deliver effective solutions for complex challenges in the nuclear and environmental fields. Joining Navarro means being a part of an exceptional team committed to quality and safety while also looking for innovative strategies to create value for the client’s success. Headquartered in Oak Ridge, Tennessee, Navarro has active programs in place across the nation for DOE/NNSA, NASA, and the Department of Defense. The Naval Nuclear Laboratory develops advanced naval nuclear propulsion technology for the safety and reliability of our Navy's submarine and aircraft fleet. Our company is looking for an experienced Mechanical Engineer to join our team as part of the Propulsion Plant Team Trainer (PPTT) project, which is a multi-site organization engaged in the design, production, testing, and delivery of advanced training simulators. The successful candidate will: - Collaborate with multidisciplinary engineers across multiple locations - Review and disposition Supplier mechanical design submittals to validate designs based on technical requirements - Interface with stakeholders to ensure project objectives are satisfied - Review static structural analyses of designs Requirements • Canidate must have an active DOE L clearance or DOD equivalent to be considered., • Bachelor of Science in Mechanical Engineering from an accredited college or university Due to the nature of the government contract requirements and/or clearances requirements, US citizenship is required. Navarro is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, age, sexual orientation, gender identity, status as a protected veteran, or status as a qualified individual with a disability. EEO Employer/Vet/Disabled Benefits • Health Care Plan (Medical, Dental & Vision), • Retirement Plan (401k, IRA), • Life Insurance (Basic, Voluntary & AD&D), • Paid Time Off (Vacation & Public Holidays), • Short Term & Long Term Disability Compensation $90,000-$180,000 annually

Job DescriptionDescription: Mayhew Technology Solutions is looking for Cleared Technology System Administrators to support a new team under our government customer in West Mifflin, PA. This individual must have an active DOE Q clearance or an active DOD Top Secret clearance at a minimum. This individual will be a full-time employee whose primary responsibility will be providing system administrative coverage for equipment and software under the guidance of the Computer Technology System Support Team (CTSS). Requirements: Hardware Maintenance: · Hardware problem diagnosis · Replacement parts and materials are provided by Technology Engineers and/or Hardware Suppliers · Replacement of hardware components under the direction of the CTSS team and the equipment's supplier (as required) Software Maintenance: · Aid engineers in software problem diagnosis. · Aid engineers in operating system problem diagnosis. · Implement solutions under the guidance of the CTSS team, engineer, and equipment supplier as required. · Provide Anti-Virus Patching Services - based on a maintenance schedule. · Provide Operating System Debug and Patching Services -with concurrence and direction from CTSS, System LOB Owner, and Equipment Supplier. Procurement, Auditing, and Documentation: · Aid engineers in purchasing new equipment using the buyer's internal required process. · Work with the CTSS team to purchase the required equipment via the buyer's internal business system or by purchasing a credit card. · Aid engineers in the completion and documentation related to the assessment process. · Aid engineers in completing any required audits for the LOB Systems. · Aid engineers in the implementation of the Continuous Monitoring (CM) process that will be implemented during the next phase of the RMF process. Miscellaneous Computer System Support · Aid engineers with general system-related issues · Aid engineers with system design questions for upgrades/ new purchases · Consult with CTSS and Engineers on new technology implementations · Other duties as assigned by the customer. Required Experience · Experience level must meet or exceed the following: Bachelor's degree in a related field from an accredited college or university and a minimum of 2 years relevant experience. · Ability to creatively solve challenging technology problems · Must be able to manage multiple tasks simultaneously, prioritize workload effectively, and thrive in a dynamic and complex environment. · Strong communicator who can work without direct supervision or detailed direction. · Active DOE Q Clearance or DOD Top Secret Clearance required. Can hold up to TS/SCI.

Job Description Engineering data centers with precision and expertise. At Strategic Mission Critical, we are more than just engineers; we are experts focusing solely on mission critical facilities. Our seasoned leadership team brings together decades of experience, equipping data center providers worldwide with robust, reliable solutions that keep pace with the evolving digital landscape. With a rapidly expanding market and the anticipated increase in demand driven by AI advancements, SMC is at the forefront of industry growth. We offer not just jobs, but career paths that reward innovation and expertise. If you want to work alongside highly skilled professionals with years of mission critical experience, then we want you to be part of a team, a team that works on major projects for top-tier data center providers. Your work will ensure the resilience and efficiency of data infrastructure that millions depend on. SMC is actively looking for Mid-Level Mechanical Engineer/Designer to execute mechanical design for mission critical projects. Typical project types may include design of greenfield and brownfield data center facilities, design of fit-out packages for hyperscale and enterprise clients of colocation providers, data center campus planning, conceptual designs and feasibility studies, and various system calculations. This candidate shall be capable of executing basic mechanical design projects independently, taking established design criteria through generation of design plans and specifications for permitting and construction. The candidate shall also be capable as serving as a key contributor in part of a larger mechanical design team on large and/or complex mission critical projects under the guidance of a senior engineer. The mechanical design scope will be a part of a broader project and therefore this candidate should be capable of interfacing with design leads within SMC (electrical, telecommunications, fire protection, plumbing) as well as externally including architectural, civil, structural, etc. The ideal candidate will be comfortable mentoring recent graduates and junior designers and engineers, reviewing the work of others, and collaborating with senior engineers to implement broad project goals. RESPONSIBILITIES This candidate will have the opportunity to execute mechanical design of various project types while working and coordinating with clients and design leads from all disciplines, as well as serve as the daily lead on smaller projects. This candidate shall have the ability to communicate effectively with co-workers and with clients while being able to meet scheduled project deadlines. Responsibilities include but are not limited to: • Utilize Autodesk Revit to produce detailed design documents., • Perform airside and hydronic calculations for multiple mechanical systems., • Understand and develop hydronic & air flow diagrams for various system types., • Select and specify HVAC equipment, • Meet project deadlines, including working necessary hours to complete major deliverables., • Understand local and national construction codes and project specifications to grow a broader understanding of the construction process., • Have experience with the use of Microsoft tools such as Word, Power Point, Excel, and Teams., • Have the ability to travel when required to project sites (approximately 10-20% travel)., • Have the ability to clearly communicate with others in both written and spoken forms., • Lead junior engineers, designers, and modelers, and coordinate the tasks of small project teams to execute delivery of specific design elements., • Mentor and train junior engineers, designers and modelers to assist in developing mechanical design knowledge base., • 4-year degree in mechanical engineering or architectural engineering with a preferred mechanical focus. 2-year degrees and MET degrees with work experience will be considered., • Minimum 4 years of experience in facility HVAC design, particularly using Autodesk Revit for drawing development., • Experience in mechanical design for larger industrial and commercial buildings is preferred, with experience in mission critical design a plus., • Experience working across the entire construction process, from schematic design through construction administration, including review of submittals and shop drawings, and field work such as existing condition surveys, site observations, and punch lists., • Experience leading small mechanical design teams and having some client interface experience is preferred., • Experience using construction management tools such as Procore and Autodesk Construction Cloud., • Basic understanding of controls for mechanical systems is a plus. Base Compensation: $90,000-$225,000 (Actual compensation is subject to variation due to factors such as education, experience, skills and/or location) SMC offers a competitive benefits package, with a 36-hour standard work week, hybrid working arrangement, 13 paid holidays, 100% coverage of medical, health, and dental insurance premiums for our full-time employees, and reimbursement of professional licensing costs. Spouse and family insurance premiums are subsidized by SMC. All full-time employees are additionally eligible for employer-sponsored life and long-term disability insurance as well as participation in our 401(k) plan, with annual safe harbor contribution.

Job Description Job Opening: Mechanical Engineering Consultant Engineering data centers with precision and expertise. At Strategic Mission Critical, we are more than just engineers; we are experts focusing solely on mission critical facilities. Our seasoned leadership team brings together decades of experience, equipping data center providers worldwide with robust, reliable solutions that keep pace with the evolving digital landscape. With a rapidly expanding market and the AI adoption driving huge growth in the data center market, SMC is at the forefront of industry growth. We offer not just jobs, but career paths that reward innovation and expertise. If you want to work alongside highly skilled professionals with years of mission critical experience, then we want you to be part of our team, a team that works on major projects for top-tier data center providers. Your work will ensure the resilience and efficiency of data infrastructure that millions depend on. SMC’s Solutions Team is actively looking for a Mid-Level Mechanical Engineering Consultant to support live mission critical operations and manage commissioning services for mission critical projects. Typical project types may include in-depth audits of live data center facilities, root cause analysis (RCA) investigations, operations training, auditing project deliverables, oversite of project commissioning firm for ownership, and commissioning process guidance for contractors. This candidate shall be capable of assisting in analyzing mission critical system operations for efficiency, operation, or maintenance, conduct training for facility operations staff, and reviewing design and construction deliverables for accuracy and quality. Additionally, this candidate shall be skilled in building commissioning management for assisting data center providers in onboarding commissioning agents, defining deliverables, schedule, and testing rigor, and guiding contractors through the commissioning process. RESPONSIBILITIES This candidate will have the opportunity to engage with client’s construction and operations teams bring engineering guidance and commissioning expertise out into the field. This candidate shall have the ability to communicate effectively with co-workers and with clients while being able to meet scheduled project deadlines. Responsibilities include but are not limited to: • Audit facility mechanical equipment and systems for end-of-life replacement, sale/purchase, and maintenance efficacy., • Analyze mechanical systems operation versus design intent and efficiency opportunities., • Review project documentation such as Testing, Adjusting, and Balancing (TAB) reports, commissioning reports, O&M procedures, etc., • Oversee commissioning agent engagement, deliverables, and execution., • Lead others through the commissioning process including documentation, scheduling, and logistics., • Meet project milestones, including working necessary hours to conduct scope., • When required, travel to project sites to conduct scope (approximately 40-60% travel)., • Clearly communicate with others in both written and spoken forms., • Be able to work independently while coordinating with senior personnel and other disciplines., • Maintain a strong working knowledge of mechanical systems., • Maintain excellent organizational skills, with the ability to manage multiple tasks simultaneously. QUALIFICATIONS • Four (4) year degree in mechanical engineering or architectural engineering with a mechanical focus is preferred although not required. Two (2) year degrees and MET degrees with work experience will be considered., • Minimum five (5) years of experience in engineering or building commissioning., • Experience in larger industrial and commercial buildings is preferred, with experience in mission critical a strong emphasis., • Familiarity with chilled water, airside, plumbing, fire protection, and fuel oil systems is important., • Experience working across the entire construction process, from schematic design through construction administration, including review of design drawings, specifications, and submittals, and field work such as site surveys, site observations, and punch lists., • Experience interfacing with client, contractor, and operation teams is strongly preferred., • Knowledge of controls and monitoring systems for mechanical systems is an emphasis., • Experience with commissioning management tools such as CxAlloy and BIM360 and construction management tools such as Procore, Autodesk Construction Cloud, and Helix., • Professional Engineer (PE) License or Engineer-In-Training (EIT) path to PE is a plus; however unlicensed candidates with appropriate on-the-job experience are welcome to apply. Base Compensation: $90,000 - $160,000 Annually (Actual compensation is subject to variation due to factors such as education, experience, skills and/or location) SMC offers a competitive benefits package, with a 36-hour standard work week, hybrid working arrangement, 13 paid holidays, 100% coverage of medical, health, and dental insurance premiums for our full-time employees, and reimbursement of professional licensing costs. Spouse and family insurance premiums are subsidized by SMC. All full-time employees are additionally eligible for employer-sponsored life and long-term disability insurance as well as participation in our 401(k) plan, with annual safe harbor contribution.

Job Description Strategic Mission Critical: At Strategic Mission Critical (SMC), we are more than just engineers; we are experts focusing solely on mission critical facilities. Our seasoned leadership team brings together decades of experience, equipping data center providers worldwide with robust, reliable solutions that keep pace with the evolving digital landscape. With a rapidly expanding market and the anticipated increase in demand driven by AI advancements, SMC is at the forefront of industry growth. We offer not just jobs, but career paths that reward innovation and expertise. If you want to work alongside highly skilled professionals with years of mission critical experience, then we want you to be part of a team, a team that works on major projects for top-tier data center providers. Your work will ensure the resilience and efficiency of data infrastructure that millions depend on. Position Opening: SMC is actively looking for a Senior Level Electrical Engineer to direct and execute electrical design for mission critical projects. Typical project types may include design of greenfield and brownfield data center facilities, design of fit-out packages for hyperscale and enterprise clients of colocation providers, data center campus planning, conceptual designs and feasibility studies, and power systems studies such as Neher-McGrath, short circuit, coordination, and arc flash. This candidate shall be capable of executing electrical design projects independently, beginning with driving concept level discussions and proceeding through generation of design plans and specifications for permitting and construction. The electrical design scope will be a part of a broader project and therefore this candidate will be highly capable of interfacing with design leads within SMC (mechanical, telecommunications, fire protection, plumbing) as well as externally including architectural, civil, structural, etc. The ideal candidate will additionally be involved in growing the electrical expertise within the company, through internal training; development and implementation of design standards; oversight and execution of quality control practices. Responsibilities: This candidate will have the opportunity to direct and execute the electrical design while working and coordinating with clients and design leads from all disciplines. This candidate shall have the ability to communicate effectively with co-workers and with clients while being able to meet scheduled project deadlines. Responsibilities include but are not limited to: • Design electrical infrastructure for mission critical buildings and campuses including campus level medium voltage distribution; highly redundant power systems including various redundancy topologies such as distributed and block redundant; on-site generation and UPS backup; typical building systems such as small power, lighting, grounding, and fire alarm., • Coordinate with all internal and external disciplines for required electrical power connections., • Coordinate monitoring system interfaces for electrical equipment with controls and telecommunications engineers., • Understand and be capable of defining key performance criteria of power monitoring systems (EPMS), including specifications, points lists, and typical network hierarchies., • Review client standards, design criteria, applicable standards, and best practices in order to understand design requirements and apply them., • Understand local and national construction codes and project specifications., • Utilize Autodesk Revit to produce detailed design documents., • Have experience with the use of Microsoft tools such as Word, Power Point, Excel, and Teams., • Meet project deadlines, including working necessary hours to complete major deliverables., • Have the ability to travel when required to project sites (approximately 10-20% travel)., • Have the ability to clearly communicate with others in both written and spoken forms., • Lead other engineers, designers, and modelers, and coordinate the tasks of multiple teams to execute project delivery of several projects simultaneously., • Mentor and train other engineers, designers and modelers to develop electrical design knowledge base., • 4-year degree in electrical engineering or architectural engineering with an electrical focus preferred. 2-year degrees and EET degrees with work experience will be considered., • Minimum 8 years of experience in facility electrical design, particularly using Autodesk Revit for drawing development., • Experience in electrical design for larger industrial and commercial buildings is preferred, with experience in mission critical design a strong plus., • Experience performing and reviewing power studies such as Neher-McGrath, short circuit, coordination, and arc flash is strongly preferred., • Experience working across the entire construction process, from schematic design through construction administration, including review of submittals and shop drawings, and field work such as existing condition surveys, site observations, and punch lists., • Experience leading electrical design teams and interfacing with clients is strongly preferred., • Experience using construction management tools such as Procore and Autodesk Construction Cloud., • Knowledge of controls and monitoring systems for mechanical and electrical systems is a plus. Base Compensation: $125,000-$350,000 (Actual compensation is subject to variation due to factors such as education, experience, skills and/or location) SMC offers a competitive benefits package, with a 36-hour standard work week, hybrid working arrangement, 13 paid holidays, 100% coverage of medical, health, and dental insurance premiums for our full-time employees, and reimbursement of professional licensing costs. Spouse and family insurance premiums are subsidized by SMC. All full-time employees are additionally eligible for employer-sponsored life and long-term disability insurance as well as participation in our 401(k) plan, with annual safe harbor contribution.

Job DescriptionEngineering data centers with precision and expertise. At Strategic Mission Critical, we are more than just engineers; we are experts focusing solely on mission critical facilities. Our seasoned leadership team brings together decades of experience, equipping data center providers worldwide with robust, reliable solutions that keep pace with the evolving digital landscape. With a rapidly expanding market and the anticipated increase in demand driven by AI advancements, SMC is at the forefront of industry growth. We offer not just jobs, but career paths that reward innovation and expertise. If you want to work alongside highly skilled professionals with years of mission critical experience, then we want you to be part of a team, a team that works on major projects for top-tier data center providers. Your work will ensure the resilience and efficiency of data infrastructure that millions depend on. SMC is actively looking for a Senior Mechanical Engineer to direct and execute mechanical design for mission critical projects. Typical project types may include design of greenfield and brownfield data center facilities, design of fit-out packages for hyperscale and enterprise clients of colocation providers, data center campus planning, conceptual designs and feasibility studies, and various system calculations. This candidate shall be capable of executing mechanical design projects independently, beginning with driving concept level discussions and proceeding through generation of design plans and specifications for permitting and construction. The mechanical design scope will be a part of a broader project and therefore this candidate will be highly capable of interfacing with design leads within SMC (electrical, telecommunications, fire protection, plumbing) as well as externally including architectural, civil, structural, etc. The ideal candidate will additionally be involved in growing the mechanical expertise within the company, through internal training; development and implementation of design standards; oversight and execution of quality control practices. RESPONSIBILITIES This candidate will have the opportunity to direct and execute the mechanical design while working and coordinating with clients and design leads from all disciplines. This candidate shall have the ability to communicate effectively with co-workers and with clients while being able to meet scheduled project deadlines. Responsibilities include but are not limited to: • Utilize Autodesk Revit to produce detailed design documents., • Perform and review airside and hydronic calculations for multiple mechanical systems., • Produce and understand hydronic & airflow flow diagrams., • Select and specify HVAC equipment., • Understand and be capable of creating detailed sequences of operations (SOO) for the mechanical systems they design., • Understand and be capable of specifying mechanical controls systems., • Meet project deadlines, including working necessary hours to complete major deliverables., • Understand local and national construction codes and project specifications, • Have experience with the use of Microsoft tools such as Word, Power Point, Excel, and Teams., • Have the ability to travel when required to project sites (approximately 10-20% travel)., • Have the ability to clearly communicate with others in both written and spoken forms., • Lead other engineers, designers, and modelers, and coordinate the tasks of multiple teams to execute project delivery of several projects simultaneously., • Mentor and train other engineers, designers and modelers to develop mechanical design knowledge base., • Be able to work independently while coordinating with senior personnel and other disciplines., • Maintain a strong working knowledge of electrical systems in the context of coordinating mechanical design requirements., • 4-year degree in mechanical engineering or architectural engineering with a mechanical focus. 2-year degrees and MET degrees with work experience will be considered., • Minimum 8 years of experience in HVAC design, particularly using Autodesk Revit., • Experience in electrical design for larger industrial and commercial buildings is preferred, with experience in mission critical design a strong plus., • Experience developing detailed mechanical calculations and use of calculation software is required., • Experience working across the entire construction process, from schematic design through construction administration, including review of submittals and shop drawings, and field work such as existing condition surveys, site observations, and punch lists, • Experience leading mechanical design teams and interfacing with clients is strongly preferred., • Strong knowledge of controls and monitoring systems for mechanical and electrical systems is a plus., • Experience using construction management tools such as Procore and Autodesk Construction Cloud. Base Compensation: $125,000-$350,000 (Actual compensation is subject to variation due to factors such as education, experience, skills and/or location) SMC offers a competitive benefits package, with a 36-hour standard work week, hybrid working arrangement, 13 paid holidays, 100% coverage of medical, health, and dental insurance premiums for our full-time employees, and reimbursement of professional licensing costs. Spouse and family insurance premiums are subsidized by SMC. All full-time employees are additionally eligible for employer-sponsored life and long-term disability insurance as well as participation in our 401(k) plan, with annual safe harbor contribution.

Job Description Job Opening: Electrical Engineering Consultant Engineering data centers with precision and expertise. At Strategic Mission Critical, we are more than just engineers; we are experts focusing solely on mission critical facilities. Our seasoned leadership team brings together decades of experience, equipping data center providers worldwide with robust, reliable solutions that keep pace with the evolving digital landscape. With a rapidly expanding market and the AI adoption driving huge growth in the data center market, SMC is at the forefront of industry growth. We offer not just jobs, but career paths that reward innovation and expertise. If you want to work alongside highly skilled professionals with years of mission critical experience, then we want you to be part of our team, a team that works on major projects for top-tier data center providers. Your work will ensure the resilience and efficiency of data infrastructure that millions depend on. SMC’s Solutions Team is actively looking for a Mid-Level Electrical Engineering Consultant to support live mission critical operations and manage commissioning services for mission critical projects. Typical project types may include in-depth audits of live data center facilities, root cause analysis (RCA) investigations, operations training, auditing project deliverables, oversite of project commissioning firm for ownership, and commissioning process guidance for contractors. This candidate shall be capable of assisting in analyzing mission critical system operations for efficiency, operation, or maintenance, conduct training for facility operations staff, and reviewing design and construction deliverables for accuracy and quality. Additionally, this candidate shall be skilled in building commissioning management for assisting data center providers in onboarding commissioning agents, defining deliverables, schedule, and testing rigor, and guiding contractors through the commissioning process. RESPONSIBILITIES This candidate will have the opportunity to engage with client’s construction and operations teams bring engineering guidance and commissioning expertise out into the field. This candidate shall have the ability to communicate effectively with co-workers and with clients while being able to meet scheduled project deadlines. Responsibilities include but are not limited to: • Audit facility electrical equipment and systems for end-of-life replacement, sale/purchase, and maintenance efficacy., • Analyze electrical systems operation versus design intent and efficiency opportunities., • Review project documentation such as NETA electrical testing reports, commissioning reports, O&M procedures, etc., • Oversee commissioning agent engagement, deliverables, and execution., • Lead others through the commissioning process including documentation, scheduling, and logistics., • Meet project milestones, including working necessary hours to conduct scope., • When required, travel to project sites to conduct scope (approximately 40-60% travel)., • Clearly communicate with others in both written and spoken forms., • Be able to work independently while coordinating with senior personnel and other disciplines., • Maintain a strong working knowledge of mechanical systems., • Maintain excellent organizational skills, with the ability to manage multiple tasks simultaneously. QUALIFICATIONS • Four (4) year degree in electrical engineering or architectural engineering with an electrical focus is preferred although not required. Two (2) year degrees and MET degrees with work experience will be considered., • Minimum five (5) years of experience in engineering or building commissioning., • Experience in larger industrial and commercial buildings is preferred, with experience in mission critical a strong emphasis., • Familiarity with power distribution systems, battery energy storage systems, relay protection, and emergency power generation is important., • Experience working across the entire construction process, from schematic design through construction administration, including review of design drawings, specifications, and submittals, and field work such as site surveys, site observations, and punch lists., • Experience interfacing with client, contractor, and operation teams is strongly preferred., • Knowledge of controls and monitoring systems for electrical systems is an emphasis., • Experience with commissioning management tools such as CxAlloy and BIM360 and construction management tools such as Procore, Autodesk Construction Cloud, and Helix., • Professional Engineer (PE) License or Engineer-In-Training (EIT) path to PE is a plus; however unlicensed candidates with appropriate on-the-job experience are welcome to apply., • Have experience with the use of Bluebeam and Microsoft tools such as Word, Power Point, Excel, and Teams. COMPENSATION Base Compensation: $90,000 - $160,000 Annually (Actual compensation is subject to variation due to factors such as education, experience, skills and/or location) SMC offers a competitive benefits package, with a 36-hour standard work week, hybrid working arrangement, 13 paid holidays, 100% coverage of medical, health, and dental insurance premiums for our full-time employees, and reimbursement of professional licensing costs. Spouse and family insurance premiums are subsidized by SMC. All full-time employees are additionally eligible for employer-sponsored life and long-term disability insurance as well as participation in our 401(k) plan, with annual safe harbor contribution.

Job Description Job Opening: Senior Electrical Engineering Consultant Engineering data centers with precision and expertise. At Strategic Mission Critical, we are more than just engineers; we are experts focusing solely on mission critical facilities. Our seasoned leadership team brings together decades of experience, equipping data center providers worldwide with robust, reliable solutions that keep pace with the evolving digital landscape. With a rapidly expanding market and the AI adoption driving huge growth in the data center market, SMC is at the forefront of industry growth. We offer not just jobs, but career paths that reward innovation and expertise. If you want to work alongside highly skilled professionals with years of mission critical experience, then we want you to be part of our team, a team that works on major projects for top-tier data center providers. Your work will ensure the resilience and efficiency of data infrastructure that millions depend on. SMC’s Solutions Team is actively looking for a Senior Electrical Engineering Consultant to support live mission critical operations and manage commissioning services for mission critical projects. Typical project types may include in-depth audits of live data center facilities, root cause analysis (RCA) investigations, operations training, auditing project deliverables, oversite of project commissioning firm for ownership, and commissioning process guidance for contractors. This candidate shall be capable of analyzing mission critical system operations offering technical guidance to resolve identified deficiencies in efficiency, operation, or maintenance, evaluating and conduct training for facility operations staff, and reviewing design and construction deliverables for accuracy and quality. Additionally, this candidate shall be skilled in building commissioning management for assisting data center providers in onboarding commissioning agents, defining deliverables, schedule, and testing rigor, and guiding contractors through the commissioning process. The ideal candidate will also be involved in growing the expertise within the company, through internal training; development and implementation of design standards; oversight and execution of quality control practices. RESPONSIBILITIES This candidate will have the opportunity to engage with client’s construction and operations teams bring engineering guidance and commissioning expertise out into the field. This candidate shall have the ability to communicate effectively with co-workers and with clients while being able to meet scheduled project deadlines. Responsibilities include but are not limited to: • Audit facility electrical equipment and systems for end-of-life replacement, sale/purchase, and maintenance efficacy., • Perform technical analysis electrical systems operation versus design intent and efficiency opportunities., • Conduct quality reviews of project documentation such as NETA electrical testing reports, commissioning reports, O&M procedures, etc., • Oversee commissioning agent engagement, deliverables, and execution., • Lead others through the commissioning process including documentation, scheduling, and logistics., • Meet project milestones, including working necessary hours to conduct scope., • When required, travel to project sites to conduct scope (approximately 30-50% travel)., • Clearly communicate with others in both written and spoken forms., • Lead other engineers and consultants coordinating the tasks of multiple teams to execute project delivery of several projects simultaneously., • Mentor and train other engineers and consultants to develop knowledge base., • Be able to work independently while coordinating with senior personnel and other disciplines., • Maintain a strong working knowledge of mechanical systems., • Preferred four (4) year degree in electrical engineering or architectural engineering with a electrical focus. Two (2) year degrees and MET degrees with work experience will be considered., • Minimum ten (10) years of experience in engineering consulting or building commissioning., • Experience in larger industrial and commercial buildings is preferred, with experience in mission critical a strong emphasis., • Familiarity with power distribution systems, battery energy storage systems, relay protection, and emergency power generation is of high importance., • Experience working across the entire construction process, from schematic design through construction administration, including review of design drawings, specifications, and submittals, and field work such as site surveys, site observations, and punch lists., • Experience interfacing with client, contractor, and operation teams is strongly preferred., • Strong knowledge of controls and monitoring systems for electrical systems is an emphasis., • Experience with commissioning management tools such as CxAlloy and BIM360 and construction management tools such as Procore, Autodesk Construction Cloud, and Helix., • Professional Engineer (PE) License or Engineer-In-Training (EIT) path to PE is a plus; however unlicensed candidates with appropriate on-the-job experience are welcome to apply., • Have experience with the use of Bluebeam and Microsoft tools such as Word, Power Point, Excel, and Teams. COMPENSATION Base Compensation: $150,000 - $300,000 Annually (Actual compensation is subject to variation due to factors such as education, experience, skills and/or location) SMC offers a competitive benefits package, with a 36-hour standard work week, hybrid working arrangement, 13 paid holidays, 100% coverage of medical, health, and dental insurance premiums for our full-time employees, and reimbursement of professional licensing costs. Spouse and family insurance premiums are subsidized by SMC. All full-time employees are additionally eligible for employer-sponsored life and long-term disability insurance as well as participation in our 401(k) plan, with annual safe harbor contribution.

Job Description Engineering data centers with precision and expertise. At Strategic Mission Critical, we are more than just engineers; we are experts focusing solely on mission critical facilities. Our seasoned leadership team brings together decades of experience, equipping data center providers worldwide with robust, reliable solutions that keep pace with the evolving digital landscape. With a rapidly expanding market and the anticipated increase in demand driven by AI advancements, SMC is at the forefront of industry growth. We offer not just jobs, but career paths that reward innovation and expertise. If you want to work alongside highly skilled professionals with years of mission critical experience, then we want you to be part of a team, a team that works on major projects for top-tier data center providers. Your work will ensure the resilience and efficiency of data infrastructure that millions depend on. SMC is actively looking for Mid-Level Plumbing Engineer/Designer to execute plumbing design for mission critical projects. Typical project types may include design of greenfield and brownfield data center facilities, design of fit-out packages for hyperscale and enterprise clients of colocation providers, data center campus planning, conceptual designs and feasibility studies, and various system calculations. This candidate shall be capable of executing basic plumbing design projects independently, taking established design criteria through generation of design plans and specifications for permitting and construction. The candidate shall also be capable as serving as a key contributor in part of a larger plumbing design team on large and/or complex mission critical projects under the guidance of a senior engineer. The plumbing design scope will be a part of a broader project and therefore this candidate should be capable of interfacing with design leads within SMC (electrical, telecommunications, fire protection, mechanical) as well as externally including architectural, civil, structural, etc. RESPONSIBILITIES This candidate will have the opportunity to execute plumbing design of various project types while working and coordinating with clients and design leads from all disciplines, as well as serve as the daily lead on smaller projects. This candidate shall have the ability to communicate effectively with co-workers and with clients while being able to meet scheduled project deadlines. Responsibilities include but are not limited to: • Utilize Autodesk Revit to produce detailed design documents from schematic design to construction., • Perform engineering calculation for all plumbing systems, including sanitary, storm and domestic water., • Select and specify plumbing equipment., • Meet project deadlines, including working necessary hours to complete major deliverables., • Understand local and national construction codes and project specifications to grow a broader understanding of the construction process., • Have the ability to travel when required to project sites (approximately 10-20% travel)., • Have the ability to clearly communicate with others in both written and spoken forms., • Collaborate with departmental staff on various tasks., • Mentor and train junior engineers, designers and modelers to assist in developing plumbing design knowledge base., • Minimum 2 years of experience in plumbing design, particularly using Autodesk Revit for drawing development., • Experience in plumbing design for larger industrial and commercial buildings is preferred, with experience in mission critical design a plus., • Experience working across the entire construction process, from schematic design through construction administration, including review of submittals and shop drawings, and field work such as existing condition surveys, site observations, and punch lists., • Have experience with the use of Microsoft tools such as Word, PowerPoint, Excel and Teams., • Experience in using construction management tools such as Procore and Autodesk Construction Cloud preferred. Base Compensation: $50,000-$150,000 (Actual compensation is subject to variation due to factors such as education, experience, skills and/or location) SMC offers a competitive benefits package, with a 36-hour standard work week, hybrid working arrangement, 13 paid holidays, 100% coverage of medical, health, and dental insurance premiums for our full-time employees, and reimbursement of professional licensing costs. Spouse and family insurance premiums are subsidized by SMC. All full-time employees are additionally eligible for employer-sponsored life and long-term disability insurance as well as participation in our 401(k) plan, with annual safe harbor contribution.

Job Description About NECI NECI is the leading Automation solutions provider transforming manufacturing, lab operations, process development and process control across a range of process industries in Northeast. NECI relentlessly seeks to drive the outcomes that ‘change the game’ for our clients and is seeking team members to join in our mission. Here’s What You’ll Get • Highly competitive Medical, Dental, and Vision Insurance, • Flexible Spending or Health Savings Accounts, • Unlimited Vacation Time, • 10 Paid Holidays, • 12 Paid Weeks Maternity Leave, • Pet Insurance, • Retirement Savings: 401(k) and Employee Stock Ownership Plan, • Employee Referral Bonus, • Professional Development Reimbursement The Field Service Reliability Engineer is a key member of NECI’s Reliability Solutions team, responsible for delivering Reliability Engineering Services to industrial clients throughout the region. In this role, you will apply your technical expertise in vibration analysis, condition monitoring, and reliability engineering to help customers improve equipment performance and reduce unplanned downtime. You will be trained and certified in Emerson Reliability Solutions hardware and software, working both independently and collaboratively to solve complex technical challenges and maintain strong client relationships. Key Responsibilities • Serve as a technical resource for NECI’s predictive maintenance, reliability, and wireless technologies — including online vibration monitoring systems, wireless instrumentation, and other solutions as assigned., • Perform route-based vibration data collection using the Emerson AMS 2140 Machinery Health Analyzer., • Conduct data analysis using Emerson AMS Machinery Health Management software to identify mechanical faults, assess severity, and recommend corrective actions., • Monitor, collect, and evaluate rotating equipment health data to assess machinery condition and ensure optimal reliability., • Perform dynamic field balancing and shaft laser alignments using Emerson AMS 2140 instrumentation., • Develop and deliver detailed asset health reports with maintenance recommendations to improve equipment reliability and performance., • Communicate technical findings effectively through clear, detailed customer reports and presentations., • Troubleshoot complex machinery issues to improve customer uptime and reliability., • Support and participate in root cause failure analyses (RCFA) for mechanical issues., • Build, configure, and optimize machinery databases within the Emerson AMS Machinery Manager platform., • Contribute to business development efforts to help grow NECI’s Reliability Services business., • Conduct Infrared Thermography Inspections on mechanical and electrical systems to identify thermal anomalies and potential failures., • Perform Ultrasonic Inspection Surveys to detect steam trap failures, compressed air, and gas leaks., • Carry out Motion Amplification Inspections using RDI Technologies systems to visually diagnose machinery vibration issues., • Execute Mechanical Repair Services, including maintenance, troubleshooting, and repair of rotating equipment such as pumps, motors, gearboxes, fans, etc....., • Bearing and motor replacements, • Belt and coupling replacements, • Sheave-to-sheave laser alignments, • Rigging and installation support for rotating equipment, • Perform root cause analysis of mechanical failures and recommend corrective actions or design improvements., • Assist with installation, startup, and commissioning of mechanical systems and rotating assets., • Bachelor’s degree in Facilities, Mechanical, or related Engineering discipline (or equivalent technical experience)., • 2+ years of experience in machinery health, reliability engineering, or a related field preferred with a strong desire to grow within the reliability engineering field., • Certification or training in vibration analysis (Category I–II) is highly desirable., • Familiarity with Emerson Reliability Solutions products and software (e.g., AMS Suite, CSI analyzers) a plus., • Strong analytical, problem-solving, and communication skills (English speaking required)., • Ability to work independently, manage multiple service commitments, and deliver results under minimal supervision., • Valid U.S. driver’s license., • Must be a U.S. citizen (no work visa or sponsorship available)., • Must successfully pass a pre-employment drug screening and background check., • Certification in Vibration Analysis, Infrared Thermography Inspections, Ultrasonic Inspections or Motion Amplification., • Intellectual curiosity and demonstrate proficiency in problem solving., • Proven experience with mechanical and electrical troubleshooting., • Working knowledge of mechanical and electrical maintenance tasks., • Prior experience in industrial environments such as Life Sciences, Power Generation, Natural Gas, Pulp & Paper, Food & Beverage, or Commercial HVAC., • Strong computer and software proficiency., • A positive attitude and a team-first mindset. Must be currently authorized to work in the United States. Policy on Third-Party Unsolicited Resume Submissions: Please note that any third-party unsolicited resume submissions will immediately become the property of NECI. NECI will not pay any fee to a submitting employment agency, person, or entity unless a signed agreement is established. Please Note: NECI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, disability, protected veteran status or any other characteristic protected by law.

Job DescriptionSalary: Are you ready to launch your career and help design the spaces, systems, and structures that shape our communities? Were looking for anEntry-Level Civil Engineer to join our team in either our South Bend or Fort Wayne office! This is a great opportunity to explore different areas of civil engineering whether your passion is structural, transportation, creative site design, water resources, or industrial/commercial site development. Who We Are Were a dynamic provider of A&E services, working on projects that make a real impact. As a multi-disciplined firm, we give our early-career engineers the chance to work on diverse, challenging projects and find the focus area that fits them best. What Youll Do Youll work alongside experienced engineers and learn by doing contributing to real projects from day one. Your work may include: • Supporting the design of roads, bridges, building structures, or site layouts., • Helping develop plans, calculations, and technical reports., • Preparing permitting documents and assisting with project coordination., • Collaborating with internal teams and external partners to solve engineering challenges. What Were Looking For • Bachelors degree in Civil Engineering (or related field)., • EIT certification a plus, or a willingness to work toward it., • Familiarity with Civil 3D, MicroStation, or other engineering software is helpful., • Strong communication skills, curiosity, and a collaborative spirit., • A self-starter whos ready to learn and grow across a variety of projects. Why Youll Love Working Here • Flexible opportunities to join one of several engineering divisions., • A collaborative team that invests in mentorship and professional growth., • Competitive pay, excellent benefits, and a supportive work environment., • Projects that make a real difference in the communities we serve. Benefits • 401(k), • 401(k) matching, • Medical insurance, • Dental insurance, • Vision insurance, • Flexible schedule, • Paid time off, • Life insurance, • Short-term and Long-term disability, • Professional development assistance, • Student loan stipend, • Tuition reimbursement, • Unlimited career growth potential

Sr. Lead AI Engineer Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San 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 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead AI Engineer (AI Foundations, LLM Core and Agentic AI) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $193,400 - $220,700 for Lead AI Engineer McLean, VA: $193,400 - $220,700 for Lead AI Engineer New York, NY: $211,000 - $240,800 for Lead AI Engineer San Francisco, CA: $211,000 - $240,800 for Lead AI Engineer San Jose, CA: $211,000 - $240,800 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Lead AI Engineer (FM Hosting, LLM Inference) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $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 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Lead AI Engineer (FM Hosting) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. 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 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Lead AI Engineer (Remote-Eligible) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Capital One is open to hiring a Remote Employee for this opportunity. 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. New York, NY: $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 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Lead AI Engineer (AI Foundations, LLM Core and Agentic AI) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San 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 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Lead AI Engineer (LLM Customization and Finetuning) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $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 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . 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 AI Engineer (Gen AI Platform Services, Agentic Systems) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 3 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 1 year of experience developing AI and ML algorithms or technologies At least 3 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 4 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost 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: $161,800 - $184,600 for Senior AI Engineer McLean, VA: $161,800 - $184,600 for Senior AI Engineer New York, NY: $176,500 - $201,400 for Senior AI Engineer San Francisco, CA: $176,500 - $201,400 for Senior AI Engineer San Jose, CA: $176,500 - $201,400 for Senior 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 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead AI Engineer (Gen AI Platform, Agentic AI & LLM Infrastructure & Orchestration) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . 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 Machine Learning Engineer (KServe Kubernetes, building Kubernetes Clusters, PyTorch, TensorFlow) As a Capital One Machine Learning Engineer (MLE) , you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role: 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 deploy 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 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) At least 3 years of experience designing and building data-intensive solutions using distributed computing At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) At least 1 year of experience productionizing, monitoring, and maintaining models Preferred Qualifications: 1 years of experience building, scaling, and optimizing ML systems 1 years of experience with data gathering and preparation for ML models 2 years of experience developing performant, resilient, and maintainable code Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3 years of experience with distributed file systems or multi-node database paradigms Contributed to open source ML software Authored/co-authored a paper on a ML technique, model, or proof of concept 3 years of experience building production-ready data pipelines that feed ML models Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance 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. McLean, VA: $161,800 - $184,600 for Senior Machine Learning Engineer New York, NY: $176,500 - $201,400 for Senior 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 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Lead AI Engineer Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San 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 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . 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).