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Additional Information Job Number Job CategoryEngineering & Facilities Location5150 Westheimer Avenue, HOUSTON TX 77056, United States VIEW ON MAP ScheduleFull Time Located Remotely?N Position Type Management Pay Range: $67,000-$88,000 Annually Bonus Eligible: Y JOB SUMMARY Assists department head in managing budget, capital expenditures, preventative maintenance and energy conservation. Accountable for maintaining the building and grounds with particular attention towards safety, security and asset protection. Assigns, tracks and follows up on status of work assigned to staff and contractors. Helps to increase guest and employee satisfaction through effective communications and training. CANDIDATE PROFILE Education and Experience • High school diploma or GED; 4 years experience in the engineering and maintenance or related professional area; technical training in HVAC-R/electrical/plumbing. OR • 2-year degree from an accredited university in Building and Construction, Engineering, Mechanics, or related major; 2 years experience in the engineering and maintenance or related professional area; technical training in HVAC-R/electrical/plumbing. CORE WORK ACTIVIITES Supporting management of Property Operations • Supervises distribution of repair work orders. • Ensures property policies are administered fairly and consistently. • Assists in effectively planning, scheduling and evaluating preventative maintenance programs. • Establishes and maintains open, collaborative relationships with employees. • Monitors timeliness and quality of completion of repair work orders. • Supervises Engineering and related areas in absence of the Director of Engineering. • Assists in managing the physical plant including equipment, refrigeration, HVAC, plumbing, water treatment, electrical and life safety systems. • Ensures that regular on-going communication occurs with employees in order to create awareness of business objectives, communicate expectations and recognize performance. • Recommends or arranges for additional services such as painting, repair work, renovations, and the replacement of furnishings and equipment. • Selects and order or purchase new equipment, supplies, and furnishings. • Supervises the day to day operations of Engineering and related departments. Maintaining Property Standards • Inspect and evaluate the physical condition of facilities in order to determine the type of work required. • Maintains accurate logs and records as required. • Operates generators and fire pumps as necessary. • Provides emergency response services 24/7. • Repairs equipment (e.g., refrigeration, laundry) as necessary. • Ensures all employees have the proper supplies, equipment and uniforms. Ensuring Exceptional Customer Service • Empowers employees to provide excellent customer service. • Emphasizes guest satisfaction during all departmental meetings and focuses on continuous improvement. • Sets a positive example for guest relations. Conducting Human Resources Activities • Helps train employees in safety procedures. • Supports a departmental orientation program for employees to receive the appropriate new hire training to successfully perform their job. • Communicates performance expectations in accordance with job descriptions for each position. • Ensures disciplinary procedures and documentation are completed according to Standard and Local Operating Procedures (SOPs and LSOPs) and support the Peer Review Process. • Assists as needed in the interviewing and hiring of employee team members with the appropriate skills. • Participates in the employee performance appraisal process, providing feedback as needed. • Uses all available on the job training tools for employees. • Solicits employee feedback. • Supervises staffing levels to ensure that guest service, operational needs and financial objectives are met. At Marriott International, we are dedicated to being an equal opportunity employer, welcoming all and providing access to opportunity. We actively foster an environment where the unique backgrounds of our associates are valued and celebrated. Our greatest strength lies in the rich blend of culture, talent, and experiences of our associates. We are committed to non-discrimination on any protected basis, including disability, veteran status, or other basis protected by applicable law. Marriott Hotels strive to elevate the art of hospitality, innovating at every opportunity while keeping the comfort of the oh-so-familiar all around the globe. As a host with Marriott Hotels, you will help keep the promise of "Wonderful Hospitality. Always." by delivering thoughtful, heartfelt, forward-thinking service that upholds and builds upon this living legacy. With the name that's synonymous with hospitality the world over, we are proud to welcome you to explore a career with Marriott Hotels. In joining Marriott Hotels, you join a portfolio of brands with Marriott International. Be where you can do your best work, begin your purpose, belong to an amazing global team, and become the best version of you. JW Marriott is part of Marriott International's luxury portfolio and consists of more than 100 beautiful properties in gateway cities and distinctive resort locations around the world. JW believes our associates come first. Because if you're happy, our guests will be happy. JW Marriott associates are confident, innovative, genuine, intuitive, and carry on the legacy of the brand's namesake and company founder, J.Willard Marriott. Our hotels offer a work experience unlike any other, where you'll be part of a community and enjoy true camaraderie with a diverse group of co-workers. JW creates opportunities for training, development, recognition and most importantly, a place where you can pursue your passions in a luxury environment with a focus on holistic well-being. Treating guests exceptionally starts with the way we take care of our associates. That's The JW Treatment . In joining JW Marriott, you join a portfolio of brands with Marriott International. Be where you can do your best work, begin your purpose, belong to an amazing global team, and become the best version of you.

Job Description Job Description Come for the Challenge. Stay for the Experience. At Holthouse, we believe every challenge presents an opportunity to positively impact our clients and people. Talented and ambitious individuals who seek limitless professional opportunities thrive at Holthouse. Our team is known for its technical skill and ability to help clients address complex business issues all while investing in and supporting our people to provide a rewarding employee experience. What We Do and Who We Serve Holthouse is a tax, audit, advisory, and business management firm and one of the largest accounting firms in the country. Ranked in the top 30 nationally and the largest based in Los Angeles, Holthouse brings the scale and depth of a national firm together with a high-touch, shareholder-led client experience. Since 1991, we have served high-net-worth individuals and families, middle-market companies, private equity firms and their portfolio companies across complex financial, tax and business matters. Our teams combine deep technical expertise, specialized knowledge and sharp judgment with direct access, responsiveness and collaboration - giving clients the right expertise and a clear path forward when it matters most. The firm's national and global reach is extended by its affiliation with Moore North America, Inc. (MNA) and Moore Global Network Limited, an independent and global accountancy and business advisory network of CPA and financial services firms located throughout the United States and around the globe. Visit to learn more. We Live Our Core Values Our values guide us in our day-to-day interactions with our clients and each other-Integrity at our Core; Building Success Together; Passion for Excellence; and Diversity, Equity, & Inclusion. We are focused and committed to the needs of our clients and our team. Discover How Far You Can Go. Opportunities abound at Holthouse. Our firm has experienced steady growth since its founding in 1991 and continues to expand its client service offerings, creating new opportunities for professionals to grow their careers. We make significant investments in training and provide interesting, diverse, and intellectually stimulating work for our teams-the kind of work that helps you develop and refine your skills to advance in the profession. Hybrid Work Holthouse currently offers a hybrid work model that allows eligible employees to work both remotely and in the office, based on business needs and team coordination. When working remotely, employees are expected to meet the same performance standards, adhere to the same policies, and maintain the same level of communication, collaboration, and responsiveness as working in the office. Please note that this arrangement is not guaranteed and subject to change at any time. We will strive to provide reasonable notice of any changes to your work location or schedule whenever possible. About the Role We are building a new Azure cloud platform to support a multi-year modernization program. This role will lead application engineering on the program, architecting and coding new solutions while modernizing legacy applications onto the platform. You will set the technical direction, establish reusable patterns, and raise the engineering bar as the team grows. Our largest application footprint is C#/.NET on Azure, but the role requires sound judgment across modern cloud languages and frameworks. You will partner with the Azure Cloud Engineer and the firm's IT, security, and network teams. The platform team owns the landing zone, guardrails, and infrastructure; you will build and modernize applications on that paved path and turn shared standards into working code, patterns, and documentation. Tools and Stack You'll Work In Various Azure services including Azure App Service and Container Apps, Key Vault, Service Bus, Azure Monitor/Application Insights, managed identity, Azure SQL, C# .NET Core, plus other modern cloud languages as workloads require. The existing environment includes older .NET Framework, WCF, and SQL workloads that will be modernized to cloud-native services. Infrastructure is provisioned by the platform team in Terraform; this role consumes, rather than authors, that infrastructure. As the Staff Software Engineer, you will be responsible for, but not limited to, the following: Own the target-state architecture for the new platform: a single front door replacing today's separate client-facing and internal portals, balancing scalability, security, reliability, and supportability while setting the patterns others follow. Own the canonical work model (client, engagement, project, task, workflow, status) and a composable module architecture in which some modules are built end to end and others orchestrate third-party processing, with every module plugging into one shell that owns identity, tenant context, navigation, and telemetry. Design and enforce multi-tenant isolation for external client users, authorizing each request by person, client tenant, engagement permissions, and action, with isolation holding across documents, search, exports, background jobs, and third-party integrations. Establish reusable API and integration patterns and build the integration layer to third-party platforms through versioned contracts and anti-corruption adapters, mapping platform identity to the correct downstream account so that clients never hold vendor credentials or see a vendor's interface. Keep the platform correct and resilient across systems the firm does not own: idempotent write-back, reconciliation and drift detection, circuit breakers, cached reads, and graceful degradation so that a single vendor outage does not take the front door down. Assess and incrementally modernize on-premises and monolithic applications, including older .NET Framework, WCF, and SQL workloads, without disrupting business operations. Build cloud-native applications on Azure PaaS, including the application and business-logic layer of a new data and analytics platform, using managed identity, Key Vault, Service Bus, managed databases, App Service, and Container Apps. Select appropriate languages and frameworks for each workload and guide team adoption. Own application delivery within the platform team's paved path: ship changes through CI/CD, maintain meaningful quality and security gates, and partner with the Staff Azure Cloud Engineer to shape the paved path from the application side. Lead application data design and legacy data migration, with strong controls for data quality, auditability, reconciliation, and safe deployment, which matter in a tax and accounting data context. Lead application security design, including authentication and authorization, client identity, input validation, encryption, and secrets management through Key Vault and managed identity, ensuring changes pass automated security and policy gates and build for relevant SOC 2 controls from the outset. Set engineering standards for coding, testing, quality gates, code review, observability, and incident response, and provide hands-on technical leadership through design decisions, code reviews, mentoring, and architecture decision records as the team grows. We expect that our Staff Software Engineer will have the following qualifications: 10+ years building and operating production applications and services, including architecture ownership and cross-functional delivery leadership, designing and implementing scalable, secure, reliable, and supportable systems. Demonstrated experience architecting multi-tenant applications serving both internal staff and external customers, with provable data isolation between customers, customer identity such as Entra External ID, Auth0, or Okta alongside workforce identity, fine-grained authorization, and row-level security. Experience building an experience or orchestration layer over third-party systems of record, including API facades, backend-for-frontend, anti-corruption layers, canonical domain models, versioned contracts, event-driven synchronization, idempotent write-back, and resilience against dependencies outside your control. Deep expertise in at least one modern cloud language, with C#/.NET as our largest footprint, and production fluency in others such as Java, Go, Python, or Node.js/TypeScript. Experience incrementally modernizing monolithic, on-premises, or legacy applications to cloud-native patterns without a big-bang rewrite, and consolidating or replacing existing applications with a unified platform. Hands-on Azure PaaS application development using services such as App Service or Container Apps, managed identity, Key Vault, and Service Bus or equivalent messaging. Full-stack capability, including a modern component-based TypeScript web UI, a shared design system, and a plugin or micro-frontend model that lets multiple modules deliver one consistent experience. Strong relational data modeling and migration experience, with attention to data quality, auditability, and reconciliation. Leadership in secure application development, including authentication, authorization, input validation, encryption, secrets management, OWASP practices, and working knowledge of SOC 2 controls. Experience delivering through CI/CD using GitHub Actions, GitHub Enterprise, or equivalent tools, including pull requests, automated testing, and quality and security gates. Demonstrated technical leadership without formal authority . click apply for full job details

Job Description Job Description The IT Systems Engineer provides services to employees with information technology issues and requests involving end-user system development and delivery. Develops client systems solutions; manages client systems and software life cycles; acts as an escalation point for resolving complex client systems and end user issues; identifies incident and problem trends; develops long-term solutions to recurring problems. Works closely with other IT teams to ensure the highest levels of operational excellence. Specific Duties and Responsibilities: • Lead endpoint-related development/implementation activities. • Create and maintain all aspects of end user systems standardization strategy, including asset life cycles • Hands-on experience on various tools includes Intune, SCCM, JAMF, Entra ID, AD, MS GPO • Design, deploy, and manage Apple Mac end-user systems, including hardware provisioning, software installations, and OS configurations (Window's, macOS, IOS etc.). • Implement and maintain MDM solutions (e.g., Jamf Pro, Microsoft Intune, or similar) for device enrollment, policy enforcement, application deployment, and remote management of Mac fleets. • Develop and enforce access policies using Active Directory and Entra ID, including group policies, conditional access, multi-factor authentication (MFA), and role-based access control (RBAC) to ensure compliance with security standards. • Troubleshoot and resolve end-user issues related to Window's & Mac hardware, software, networking, and integration with enterprise systems, providing Tier 2/3 support. • Automate software installation, configuration, and uninstallation activities and procedures • Document maintenance and troubleshooting procedures • Develop operations procedures and tools to improve operational efficiency and reliability for client systems • Integrate operational procedures and automation to improve consistent delivery • Automate routine tasks through scripting (e.g., Bash, Python, or AppleScript) and integrate with tools • Manage Infrastructure Lab for client systems initiatives, including development and testing • Mentor Penumbra's IT support staff • Maintain effective relationships with customers • Actively listen to customers' needs and requests, ensuring they are fully understood with appropriate expectations, effectively set and delivered. • Assist in refining strategy and overseeing client integration for acquisitions • Manage and maintain vendor relationships, vendor contracts, and road maps related to PC's, Macs, smartphones, tablets, peripherals, printers, software, and cloud services • Adhere to the Company's Quality Management System (QMS) as well as domestic and global quality system regulations, standards, and procedures. • Understand relevant security, privacy and compliance principles and adhere to the regulations, standards, and procedures that are applicable to the Company. • Ensure other members of the department follow the QMS, regulations, standards, and procedures. • Perform other work-related duties as assigned. Position Qualifications - Required: • Bachelor's degree in Computer Science, Engineering, or a related field with 10+ years' experience providing enterprise level end user support, or an equivalent combination of education and experience. • Experience configuring Active Directory, Group Policy, DNS, DHCP, RDP, Print Management, Microsoft Windows, Mac OS, Office 365, Adobe Creative Cloud, and Anti-virus/anti-malware utilities. • Strong expertise in MDM tools such as Jamf Pro, Microsoft Intune, jumpcloud, or Kandji, including hands-on experience with zero-touch deployment and compliance monitoring • Advanced scripting and automation skills (e.g., PowerShell or Python, for cross-platform tasks). • Excellent troubleshooting skills, with the ability to diagnose complex issues involving hardware, software, and network connectivity. • Excellent oral, written, and interpersonal communication skills • Problem solving skills, resilience, ability to prioritize changing demands • High degree of accuracy and attention to detail • Proficiency with MS Word, Excel, and PowerPoint Position Qualifications - Preferred: • Medical device, pharmaceutical, biotech, or other regulated industry experience desired • Relevant certification such as Jamf/Intune/EntraID/Azure administrators will be a PLUS, Working Conditions: • General office environment • Willingness and ability to work on site. • May have business travel from 0% - 10% • Potential exposure to blood-borne pathogens • Requires some lifting and moving of up to 15 pounds • Must be able to move between buildings and floors. • Must be able to remain stationary and use a computer or other standard office equipment, such as a printer or copy machine, for an extensive period of time each day. • Must be able to read, prepare emails, and produce documents and spreadsheets. • Must be able to move within the office and access file cabinets or supplies, as needed. • Must be able to communicate and exchange accurate information with employees at all levels on a daily basis. Annual Base Salary Range: $120,000 - $162,000/ year We offer a competitive compensation package plus a benefits and equity program, when applicable. Individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. What We Offer • A collaborative teamwork environment where learning is constant, and performance is rewarded. • The opportunity to be part of the team that is revolutionizing the treatment of some of the world's most devastating diseases. • A generous benefits package for eligible employees that includes medical, dental, vision, life, AD&D, short and long-term disability insurance, 401(k) with employer match, paid parental leave, eleven paid company holidays per year, a minimum of fifteen days of accrued vacation per year, which increases with tenure, and paid sick time in compliance with applicable law(s). Penumbra, Inc., headquartered in Alameda, California, is a global healthcare company focused on innovative therapies. Penumbra designs, develops, manufactures, and markets novel products and has a broad portfolio that addresses challenging medical conditions in markets with significant unmet need. Penumbra sells its products to hospitals and healthcare providers primarily through its direct sales organization in the United States, most of Europe, Canada, and Australia, and through distributors in select international markets. The Penumbra logo is a trademark of Penumbra, Inc. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, age, disability, military or veteran status, or any other characteristic protected by federal, state, or local laws. If you reside in the State of California, please also refer to Penumbra's Privacy Notice for California Residents. For additional information on Penumbra's commitment to being an equal opportunity employer, please see Penumbra's AAP Policy Statement.

Sr. Staff AI Engineer (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Define and steer the technical AI architecture vision, integrating applied research breakthroughs into production ecosystems with reliability and scale Lead the establishment of AI performance, safety, and transparency standards that guide all model development and deployment company-wide Drive multi-year platform initiatives that unify data, compute and model lifecycle management under and cohesive enterprise AI architecture Mentor senior technical leaders across research, data and engineering disciplines, developing the next generation of Capital One's AI technical leadership 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 10 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 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience architecting AI platforms with tradeoff decisions around cost, latency, throughput and accuracy 9+ 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 SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Recognized industry leader in applied AI or machine learning infrastructure through patents, publications, or open-source leadership Demonstrated experience designing long-term AI infrastructure strategies - balancing cost, scale, ethics and regulatory compliance Experience driving organization-wide adoption of AI safety, alignment and governance standards, collaborating with policy, risk and legal teams Proven ability to shape R&D investment strategy by identifying breakthrough AI capabilities with material business impact Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Staff AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Staff AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Staff AI Engineer New York, NY: $343,400 - $392,000 for Sr. Staff AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Staff AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Staff AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Sr. Staff AI Engineer (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Define and steer the technical AI architecture vision, integrating applied research breakthroughs into production ecosystems with reliability and scale Lead the establishment of AI performance, safety, and transparency standards that guide all model development and deployment company-wide Drive multi-year platform initiatives that unify data, compute and model lifecycle management under and cohesive enterprise AI architecture Mentor senior technical leaders across research, data and engineering disciplines, developing the next generation of Capital One's AI technical leadership 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 10 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 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience architecting AI platforms with tradeoff decisions around cost, latency, throughput and accuracy 9+ 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 SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Recognized industry leader in applied AI or machine learning infrastructure through patents, publications, or open-source leadership Demonstrated experience designing long-term AI infrastructure strategies - balancing cost, scale, ethics and regulatory compliance Experience driving organization-wide adoption of AI safety, alignment and governance standards, collaborating with policy, risk and legal teams Proven ability to shape R&D investment strategy by identifying breakthrough AI capabilities with material business impact Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Staff AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Staff AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Staff AI Engineer New York, NY: $343,400 - $392,000 for Sr. Staff AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Staff AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Staff AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Staff AI Engineer role (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Set the technical direction for enterprise-wide AI architecture - unifying tooling, observability, and deployment standards across teams Own the design and integration of model routing, caching, and orchestration systems that support hybrid and multi-model workloads Champion responsible AI principles across all system design, embedding transparency, reproducibility, and fairness-by-design Drive internal education, mentorship, and dissemination of best practices through architecture councils and AI guilds The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown 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 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, CUDA, or Java Preferred Qualifications: Experience designing AI systems with tradeoff decisions around cost, latency, throughput and accuracy 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, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Proven track record of defining and operationalizing enterprise AI architecture standards, including data pipeline governance, observability and evaluation frameworks Experience leading federated or multi-cloud AI strategies to maximize resilience, compliance and compute efficiency Demonstrated success influencing research-to-production promotion processes - guiding model handoff, evaluation and productization Experience defining north-star metrics for AI systems that balance business value, innovation velocity, cost, and ethical responsibility Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $244,700 - $279,200 for Staff AI Engineer Cambridge, MA: $269,100 - $307,200 for Staff AI Engineer McLean, VA: $269,100 - $307,200 for Staff AI Engineer New York, NY: $293,600 - $335,100 for Staff AI Engineer San Francisco, CA: $293,600 - $335,100 for Staff AI Engineer San Jose, CA: $293,600 - $335,100 for Staff AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. . click apply for full job details

Staff AI Engineer - Enterprise Analysis Platform (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is currently working on building a new AI native platform to empower our broader business community to execute AI assisted analysis across our many lines of business. We are building an AI native, at-scale (15,000+ users at destination), enterprise platform intertwining deterministic code with non-deterministic reasoning systems as well as both frontier and home grown AI models, to transform how our company works in the data analysis space. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Set the technical direction for enterprise-wide AI architecture - unifying tooling, observability, and deployment standards across teams Own the design and integration of model routing, caching, and orchestration systems that support hybrid and multi-model workloads Champion responsible AI principles across all system design, embedding transparency, reproducibility, and fairness-by-design Drive internal education, mentorship, and dissemination of best practices through architecture councils and AI guilds The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown 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 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, CUDA, or Java Preferred Qualifications: Experience designing AI systems with tradeoff decisions around cost, latency, throughput and accuracy 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, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Proven track record of defining and operationalizing enterprise AI architecture standards, including data pipeline governance, observability and evaluation frameworks Experience leading federated or multi-cloud AI strategies to maximize resilience, compliance and compute efficiency Demonstrated success influencing research-to-production promotion processes - guiding model handoff, evaluation and productization Experience defining north-star metrics for AI systems that balance business value, innovation velocity, cost, and ethical responsibility Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $244,700 - $279,200 for Staff AI Engineer Cambridge, MA: $269,100 - $307,200 for Staff AI Engineer McLean, VA: $269,100 - $307,200 for Staff AI Engineer New York, NY: $293,600 - $335,100 for Staff AI Engineer San Francisco, CA: $293,600 - $335,100 for Staff AI Engineer San Jose, CA: $293,600 - $335,100 for Staff AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to . click apply for full job details

Senior Staff AI Engineer - Agentic AI Platform (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. Capital One is open to hiring a Remote Employee for this opportunity What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Define and steer the technical AI architecture vision, integrating applied research breakthroughs into production ecosystems with reliability and scale Lead the establishment of AI performance, safety, and transparency standards that guide all model development and deployment company-wide Drive multi-year platform initiatives that unify data, compute and model lifecycle management under and cohesive enterprise AI architecture Mentor senior technical leaders across research, data and engineering disciplines, developing the next generation of Capital One's AI technical leadership Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 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 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience architecting AI platforms with tradeoff decisions around cost, latency, throughput and accuracy 9+ 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 SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Recognized industry leader in applied AI or machine learning infrastructure through patents, publications, or open-source leadership Demonstrated experience designing long-term AI infrastructure strategies - balancing cost, scale, ethics and regulatory compliance Experience driving organization-wide adoption of AI safety, alignment and governance standards, collaborating with policy, risk and legal teams Proven ability to shape R&D investment strategy by identifying breakthrough AI capabilities with material business impact Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Staff AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Staff AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Staff AI Engineer New York, NY: $343,400 - $392,000 for Sr. Staff AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Staff AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Staff AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Staff AI Engineer - Agentic AI Platform (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. Capital One is open to hiring a Remote Employee for this opportunity What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Define and steer the technical AI architecture vision, integrating applied research breakthroughs into production ecosystems with reliability and scale Lead the establishment of AI performance, safety, and transparency standards that guide all model development and deployment company-wide Drive multi-year platform initiatives that unify data, compute and model lifecycle management under and cohesive enterprise AI architecture Mentor senior technical leaders across research, data and engineering disciplines, developing the next generation of Capital One's AI technical leadership Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 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 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience architecting AI platforms with tradeoff decisions around cost, latency, throughput and accuracy 9+ 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 SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Recognized industry leader in applied AI or machine learning infrastructure through patents, publications, or open-source leadership Demonstrated experience designing long-term AI infrastructure strategies - balancing cost, scale, ethics and regulatory compliance Experience driving organization-wide adoption of AI safety, alignment and governance standards, collaborating with policy, risk and legal teams Proven ability to shape R&D investment strategy by identifying breakthrough AI capabilities with material business impact Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Staff AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Staff AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Staff AI Engineer New York, NY: $343,400 - $392,000 for Sr. Staff AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Staff AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Staff AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Staff AI Engineer (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Set the technical direction for enterprise-wide AI architecture - unifying tooling, observability, and deployment standards across teams Own the design and integration of model routing, caching, and orchestration systems that support hybrid and multi-model workloads Champion responsible AI principles across all system design, embedding transparency, reproducibility, and fairness-by-design Drive internal education, mentorship, and dissemination of best practices through architecture councils and AI guilds. Capital One is open to hiring a Remote Employee for this opportunity. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 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, CUDA, or Java Preferred Qualifications: Experience designing AI systems with tradeoff decisions around cost, latency, throughput and accuracy 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, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Proven track record of defining and operationalizing enterprise AI architecture standards, including data pipeline governance, observability and evaluation frameworks Experience leading federated or multi-cloud AI strategies to maximize resilience, compliance and compute efficiency Demonstrated success influencing research-to-production promotion processes - guiding model handoff, evaluation and productization Experience defining north-star metrics for AI systems that balance business value, innovation velocity, cost, and ethical responsibility Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $244,700 - $279,200 for Staff AI Engineer Cambridge, MA: $269,100 - $307,200 for Staff AI Engineer McLean, VA: $269,100 - $307,200 for Staff AI Engineer New York, NY: $293,600 - $335,100 for Staff AI Engineer San Francisco, CA: $293,600 - $335,100 for Staff AI Engineer San Jose, CA: $293,600 - $335,100 for Staff AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. . click apply for full job details

Senior Staff AI Engineer (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Define and steer the technical AI architecture vision, integrating applied research breakthroughs into production ecosystems with reliability and scale Lead the establishment of AI performance, safety, and transparency standards that guide all model development and deployment company-wide Drive multi-year platform initiatives that unify data, compute and model lifecycle management under and cohesive enterprise AI architecture Mentor senior technical leaders across research, data and engineering disciplines, developing the next generation of Capital One's AI technical leadership. 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 10 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 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience architecting AI platforms with tradeoff decisions around cost, latency, throughput and accuracy 9 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 SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Recognized industry leader in applied AI or machine learning infrastructure through patents, publications, or open-source leadership Demonstrated experience designing long-term AI infrastructure strategies - balancing cost, scale, ethics and regulatory compliance Experience driving organization-wide adoption of AI safety, alignment and governance standards, collaborating with policy, risk and legal teams Proven ability to shape R&D investment strategy by identifying breakthrough AI capabilities with material business impact Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Staff AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Staff AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Staff AI Engineer New York, NY: $343,400 - $392,000 for Sr. Staff AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Staff AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Staff AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Staff AI Engineer - Enterprise Analysis Platform (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is currently working on building a new AI native platform to empower our broader business community to execute AI assisted analysis across our many lines of business. We are building an AI native, at-scale (15,000+ users at destination), enterprise platform intertwining deterministic code with non-deterministic reasoning systems as well as both frontier and home grown AI models, to transform how our company works in the data analysis space. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Set the technical direction for enterprise-wide AI architecture - unifying tooling, observability, and deployment standards across teams Own the design and integration of model routing, caching, and orchestration systems that support hybrid and multi-model workloads Champion responsible AI principles across all system design, embedding transparency, reproducibility, and fairness-by-design Drive internal education, mentorship, and dissemination of best practices through architecture councils and AI guilds The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown 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 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, CUDA, or Java Preferred Qualifications: Experience designing AI systems with tradeoff decisions around cost, latency, throughput and accuracy 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, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Proven track record of defining and operationalizing enterprise AI architecture standards, including data pipeline governance, observability and evaluation frameworks Experience leading federated or multi-cloud AI strategies to maximize resilience, compliance and compute efficiency Demonstrated success influencing research-to-production promotion processes - guiding model handoff, evaluation and productization Experience defining north-star metrics for AI systems that balance business value, innovation velocity, cost, and ethical responsibility Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $244,700 - $279,200 for Staff AI Engineer Cambridge, MA: $269,100 - $307,200 for Staff AI Engineer McLean, VA: $269,100 - $307,200 for Staff AI Engineer New York, NY: $293,600 - $335,100 for Staff AI Engineer San Francisco, CA: $293,600 - $335,100 for Staff AI Engineer San Jose, CA: $293,600 - $335,100 for Staff AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to . click apply for full job details

Staff AI Engineer (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Set the technical direction for enterprise-wide AI architecture - unifying tooling, observability, and deployment standards across teams Own the design and integration of model routing, caching, and orchestration systems that support hybrid and multi-model workloads Champion responsible AI principles across all system design, embedding transparency, reproducibility, and fairness-by-design Drive internal education, mentorship, and dissemination of best practices through architecture councils and AI guilds The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown 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 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, CUDA, or Java Preferred Qualifications: Experience designing AI systems with tradeoff decisions around cost, latency, throughput and accuracy 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, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Proven track record of defining and operationalizing enterprise AI architecture standards, including data pipeline governance, observability and evaluation frameworks Experience leading federated or multi-cloud AI strategies to maximize resilience, compliance and compute efficiency Demonstrated success influencing research-to-production promotion processes - guiding model handoff, evaluation and productization Experience defining north-star metrics for AI systems that balance business value, innovation velocity, cost, and ethical responsibility Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $244,700 - $279,200 for Staff AI Engineer Cambridge, MA: $269,100 - $307,200 for Staff AI Engineer McLean, VA: $269,100 - $307,200 for Staff AI Engineer New York, NY: $293,600 - $335,100 for Staff AI Engineer San Francisco, CA: $293,600 - $335,100 for Staff AI Engineer San Jose, CA: $293,600 - $335,100 for Staff AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. . click apply for full job details

Job Description Job Description Benefits U.S.-based employees have access to medical, dental, and vision insurance, a 401(k) plan and company contribution, short-term and long-term disability coverage, basic life insurance, and wellbeing benefits, among others. U.S.-based employees also receive, per calendar year, up to 6 scheduled paid holidays. Additionally, eligible hourly/non-exempt and exempt employees accrue up to 112 hours of PTO based on years of service and may annually take up to 8 hours of paid volunteer time. Additional paid sick leave is also provided if required by state or local law. Summary of Position: The Senior Network Engineer is responsible for the architecture, design, engineering, and operational support of Denali's enterprise network, which is primarily Cisco-based with Ubiquiti UniFi deployments at select remote sites. This role provides expert-level routing, switching, wireless, and network security support (including Cisco ISE, Cisco Umbrella, and Cisco Firepower Threat Defense), and also maintains and supports network infrastructure associated with customer equipment that Denali hosts on-premise on behalf of its customers. The Senior Network Engineer participates in planning, installation, maintenance, management, and coordination of all network services, and serves as a senior technical escalation point for complex network issues, including Wi-Fi troubleshooting and remediation. Essential Functions: Provide expert-level network design and daily operational support for Denali's enterprise-wide Cisco network infrastructure, including sites with Ubiquiti UniFi equipment Lead architecture and design of routing, switching, wireless, and network security solutions to meet business and operational requirements Serve as a senior escalation point for complex network incidents; perform root cause analysis on service-interrupting events and implement measures to prevent recurrence Design, configure, deploy, and maintain Cisco ISE for network access control, authentication, and policy enforcement Administer and optimize Cisco Umbrella for DNS-layer security and web filtering across the environment Administer and support Cisco Firepower Threat Defense (FTD) for network security, threat prevention, and firewall policy management Troubleshoot and remediate wireless (Wi-Fi) connectivity, coverage, and performance issues across corporate and remote sites Implement and maintain routers, switches, firewalls, and wireless infrastructure across LAN, WAN, and remote-site environments Support and maintain network infrastructure associated with customer equipment hosted on-premise at Denali facilities, ensuring segmentation, availability, and security standards are met Design, configure, monitor, and optimize local and wide area networks for maximum availability, performance, and security Design, configure, and manage network security features, including firewalls, VPNs, and access control, in coordination with the security team Develop, maintain, and update a library of network technical documentation, including topology diagrams and standard operating procedures Evaluate and recommend new network hardware, software, and technologies for compatibility, scalability, and security Partner with cross-functional IT and engineering teams to plan, install, and coordinate network changes, upgrades, and new deployments Mentor and provide technical guidance to junior network engineers and IT staff Participate in an on-call rotation and provide after-hours support for critical network issues as needed Keep current on emerging network technologies, security threats, and industry best practices Competencies: Ensures Accountability Tech Savvy Communicates Effectively Values Differences Customer Focus Resourcefulness Drives Results Plans and Prioritizes Decision Quality Self-Development Work Environment: This position is based in a professional office setting and regularly utilizes workplace technology, including computers, smartphones, multifunction printers, cloud-based filing systems, and collaboration tools. Physical Demands: This role requires physical capabilities that support the successful execution of key responsibilities. The employee regularly engages in verbal and written communication with colleagues and clients to address project-related inquiries and must be able to convey accurate information clearly and efficiently. The position involves remaining seated at a workstation for approximately 75% of the time, with occasional movement throughout the office to access equipment, supplies, and shared resources. Daily tasks include consistent use of computers and standard office technology such as keyboards, printers, and multifunction devices. The role also involves transporting equipment boxes weighing up to 25 pounds within the building and to other offsite locations as needed for project support. Required Education : Bachelor's degree in Computer Science, Information Technology, or a related field preferred (or equivalent combination of education and experience) 5+ years of experience Qualifications: 5+ years of experience as a Network Engineer, with demonstrated experience at a Senior level Expert-level knowledge of enterprise network architecture and design Expert-level experience with Cisco routing and switching in a production enterprise environment Expert-level experience deploying, configuring, and supporting Cisco ISE (Identity Services Engine) Expert-level experience administering Cisco Umbrella Expert-level experience administering and supporting Cisco Firepower Threat Defense (FTD) Required: proven, hands-on experience troubleshooting and remediating Wi-Fi/wireless issues Experience with Ubiquiti UniFi equipment, particularly in a remote-site context, strongly preferred Experience supporting wireless LAN controllers (Cisco WLC C9800), SD-WAN via Cisco vManage Dashboard, and centralized security management platforms (Cisco FMC or FDM) Experience supporting network infrastructure for customer-owned equipment hosted on-premise Strong working knowledge of network security fundamentals, including firewalls, VPNs, and segmentation Strong documentation, troubleshooting, and root cause analysis skills Ability to prioritize competing critical tasks and work independently with minimal direction Strong written and verbal communication skills, with the ability to explain technical concepts to non-technical stakeholders Professional certification: CCNP or CCIE, or a similar certification level from another vendor One or more of the following certifications preferred: CCIE Security, CCIE Enterprise Infrastructure, CCIE Data Center, or CCNP Data Center AAP/EEO Statement: 3MD Inc. is an equal opportunity employer and does not discriminate based on gender, sex, age, race and color, religion, marital status, national origin, disability, sexual orientation, gender identity or expression, veteran status, or any other category that is protected by applicable law. Other Duties: Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

Job Description Job Description Boston Government Services, LLC. (BGS) has created this Evergreen Talent Pool post for gathering qualified candidates for a position relating to Security Control Assessor to support our clients at Washington, DC Area. BGS is an engineering, technology, and security firm helping to advance missions of national importance for government programs, national laboratories, national security facilities, nuclear operations, and complex projects. We support clients at every stage, from strategic planning and program management to the execution of engineering and technical activities. We work to attract and retain the best talent because the best talent delivers the best results for our clients. Our capabilities are based on our experience in complex, secure, and highly regulated environments. We leverage our experience and capabilities to provide mission-driven solutions tuned to our client's mission needs and strategic direction. Work that Matters. People that Matter More. At BGS, we believe meaningful work starts with great people. We foster a culture built on respect, collaboration, and accountability-where employees are empowered to contribute ideas, grow professionally, and make an impact. We care about our employees' well-being through competitive benefits, clear expectations, and an environment that values both excellence and connection. If you align with BGS company values and culture, we would love for you to explore opportunities to join our growing team by checking out the job description below! Responsibilities: General understanding of cyber requirements. Ability to interpret cyber security plans for vendors to determine compliance with the National Institute of Standards and Technology (NIST) requirements. Ability to communicate with vendor IT and Cyber staff. Requirements: Working knowledge of NIST 800-171, NIST SP 800-53, NIST SP 800-53A. Ability to assess and document assessment results for NIST SP 800-171 security controls. Ability to aggregate risk for NIST SP 800-171 security controls into an overall risk assessment for a non-federal information system processing Controlled Unclassified Information (CUI) data. Knowledge of cyber controls. Familiarity with Defense Federal Acquisition Regulation Supplement (DFARS) requirements for processing CUI data on non-federal information systems. Must be U.S. citizen. Successful drug screening. Must be eligible to obtain and maintain a security or clearance badge. Preferred Qualifications: Cybersecurity Maturity Model Certification (CMMC), Certification as Certified CMMC Professional (CCP), Certification as Certified CMMC Assessor (CCA), Training associated with the assessment of NIST security controls. Location/Work Arrangement: Travel possible. Remote. Benefits: BGS offers a competitive total compensation package to eligible employees. Benefits include Health, Dental, Vision, Life Insurance, Paid Vacation, 401K, Long and Short-Term Disability. EEO: BGS is an Equal Opportunity/Affirmative Action employer. All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or protected veteran status. Exclusive Agreement Disclaimer: BGS has standing contracts with federal agencies throughout the United States. We require an affirmative exclusive agreement to represent all candidates to our clients. By submitting this application, you are consenting to allow BGS to represent you as a candidate for the role in which you are applying. Travel possible. Remote. Schedule is full-time, Monday - Friday 40-hour work week.

Job Description Job Description Why Work at SMA America Power the future. Build your career at SMA America. As the U.S. subsidiary of SMA Solar Technology AG, we have been at the forefront of solar inverter technology since 1981, developing solutions that make photovoltaic power plants simpler, more reliable, safer, and more cost effective. Headquartered in Rocklin, California, SMA America has spent more than two decades helping homes, businesses, and utilities across the country generate clean, reliable power. We are the only inverter manufacturer in the world offering solutions for every system size, from residential rooftops to large scale utility plants, backed by more than 1,500 patents and a presence in over 190 countries. Innovation is only part of the story. We invest in our people, create room to grow, challenge conventional thinking, and protect a culture where teammates genuinely care about each other and the work. We hire capable people and give them the space to do the job, with clear expectations, open door leadership, and real autonomy. If you are passionate about driving positive change and want a career where you can take ownership of your work, we would love to meet you. Together, we are not just part of the energy transition, we are helping drive it forward. Senior OT Network and Cybersecurity Engineer, Solar and Storage Rocklin, CA or Texas preferred, remote considered LOCATION AND WORK MODEL This position is preferably based at our Rocklin, California headquarters or in Texas, and remote candidates will be considered. Periodic domestic travel is required, and international travel may be required. PURPOSE OF THE POSITION The Senior OT Network and Cybersecurity Engineer supports the design, integration, and operation of communication and control systems across utility scale renewable energy assets, including solar PV, battery storage, and hybrid plants. This role owns site level communications architecture, machine to machine (M2M) communications integration, and secure connectivity between sites, utilities, and cloud platforms. PRIMARY DUTIES / RESPONSIBILITIES Lead integration of site controllers, inverters, and auxiliary equipment into a unified plant communications architecture Design and configure machine to machine (M2M) communications between site controllers, inverters, and plant level gateways and data concentrators Define and deploy end to end communication networks, including industrial Ethernet (fiber/copper), layered OT network segmentation, and integration of secure connectivity platforms, data collectors, and industrial gateways Design and support OT networks, including firewalls, routers, switches, VLANs and segmentation, and fiber optic networks Manage secure communication interfaces between sites and utilities, transmission operators, ISOs/RTOs, asset owners, and cloud based platforms Configure and validate protocols for wide area communications, including real time telemetry, dispatch and control signals, and event and disturbance reporting Design and implement multi layer cybersecurity architectures, including segmented network zones, secure data replication layers, and unidirectional gateways (data diodes) for critical assets Support compliance with NERC CIP standards, utility interconnection requirements, and internal cybersecurity frameworks Enable inverter monitoring, diagnostics, and fault detection through integration with cloud based dashboards Collaborate with O&M and engineering teams to troubleshoot issues and optimize system performance Maintain auditable data and communication structures to meet regulatory compliance requirements Other duties as assigned REQUIRED QUALIFICATIONS Bachelor's degree in Electrical Engineering, Computer Engineering, or a related discipline, or equivalent relevant work experience At least 5 years of utility communications, industrial networking, OT systems, or energy management systems experience Strong understanding of firewalls and network security fundamentals Ability to debug network connections using tools such as Wireshark Extensive hands on experience with utility scale OT communication systems, including RTUs, PLCs, industrial gateways, and edge/data collection devices Strong experience with industrial and utility protocols such as Modbus TCP/IP, DNP3, IEC 61850 (preferred), and OPC UA Strong understanding of OT cybersecurity principles, including defense in depth architectures, secure remote access/VPNs, and network segmentation and monitoring Experience implementing secure communication paths between OT and IT systems Comfort working with field data, diagnostics, and system telemetry Proficiency in English, both written and verbal. PREFERRED QUALIFICATIONS Background in commissioning or field deployment Experience implementing unidirectional security solutions (data diodes) Knowledge of ISO/RTO integration requirements Strong cross functional collaboration across engineering, O&M, and IT/security teams Excellent troubleshooting and problem solving capabilities Ability to clearly communicate technical architectures to both technical and non technical stakeholders Familiarity with NERC CIP and cybersecurity frameworks for critical infrastructure Proficiency with Microsoft Office Suite (Word, PowerPoint, Excel) Proven ability to work effectively in a matrix organization German or Spanish language skills. WE OFFER Compensation: $138,000 to $158,000 base salary, commensurate with experience. Relocation assistance available for qualified candidates. Medical plan options through Aetna, plus Kaiser in California, including a $0 premium option, with SMA covering about 90% or more of medical premiums and contributing up to $1,500 a year to your HSA on the high deductible plan. $0 employee only dental and vision options, plus short and long term disability and $50,000 in life and AD&D insurance at no cost. 16 days of PTO, increasing with tenure, plus 12 paid holidays. 401k plan with a 100% match up to 5%. Tuition reimbursement and opportunities for professional development. WORK AUTHORIZATION Applicants must be authorized to work in the United States on a full time basis. SMA America does not offer employment visa sponsorship of any kind, including H-1B, OPT, CPT, or TN visas. Candidates who currently require or will in the future require visa sponsorship are not eligible. Candidates operating under a temporary work permit or any visa tied employment authorization are also not eligible. AI ASSISTED APPLICATION MATERIALS We welcome candidates who use AI tools to organize or polish their application materials. Your resume and responses must accurately reflect your own experience and be written in your own voice. Applications that include fabricated or exaggerated experience, hidden text or embedded instructions, or prescreen responses that do not reflect your own knowledge may be removed from consideration. We want to hear your story: the work you have done, the results you have delivered and the experience you would bring to SMA. RECRUITMENT FRAUD NOTICE All SMA America openings are posted on our official careers page and all recruiter communication comes from address. We never request payment, banking information, or a Social Security number during the recruitment process. If you are contacted about an SMA America role from a personal email account, or asked for any of the above, please forward the message to Our EEO Policy We are an equal opportunity employer and we make our employment decisions on the basis of merit and without regard to one's race, color, creed, sex (includes gender, pregnancy, childbirth and related medical conditions), gender identity, religion, marital status, age (over 40), national origin or ancestry, physical or mental disability (includes HIV/Aids), medical condition (cancer, genetic characteristics), veteran's status, sexual orientation, or any other consideration made unlawful by law. In accordance with applicable law protecting qualified individuals with known disabilities, SMA will attempt to reasonably accommodate qualified applicants with known disabilities, unless doing so would create an undue hardship on SMA. Any qualified applicant with a disability who believes he or she requires an accommodation in order to perform the essential functions of the job for which he or she is applying should identify the accommodation(s) needed in the application. Our Privacy Policy During your job application or recruitment process with us: (a) SMA may collect your personal information directly from you, such as when you submit your application and resume on our online portal or when you have job interviews with us. We may also obtain your personal information from third parties, including but not limited to your former employers, background or employment check service providers or third-party recruiters; and, (b) SMA may use or process applicants' personal information for relevant purposes including but not limited to general communications with you, identity verification, background or employment checks, determination of eligibility, and making hiring decisions. For successful job applicants who become SMA's staff . click apply for full job details

Job Description Job Description Why Work at SMA America Power the future. Build your career at SMA America. As the U.S. subsidiary of SMA Solar Technology AG, we have been at the forefront of solar inverter technology since 1981, developing solutions that make photovoltaic power plants simpler, more reliable, safer, and more cost effective. Headquartered in Rocklin, California, SMA America has spent more than two decades helping homes, businesses, and utilities across the country generate clean, reliable power. We are the only inverter manufacturer in the world offering solutions for every system size, from residential rooftops to large scale utility plants, backed by more than 1,500 patents and a presence in over 190 countries. Innovation is only part of the story. We invest in our people, create room to grow, challenge conventional thinking, and protect a culture where teammates genuinely care about each other and the work. We hire capable people and give them the space to do the job, with clear expectations, open door leadership, and real autonomy. If you are passionate about driving positive change and want a career where you can take ownership of your work, we would love to meet you. Together, we are not just part of the energy transition, we are helping drive it forward. Senior OT Network and Cybersecurity Engineer, Solar and Storage Rocklin, CA or Texas preferred, remote considered LOCATION AND WORK MODEL This position is preferably based at our Rocklin, California headquarters or in Texas, and remote candidates will be considered. Periodic domestic travel is required, and international travel may be required. PURPOSE OF THE POSITION The Senior OT Network and Cybersecurity Engineer supports the design, integration, and operation of communication and control systems across utility scale renewable energy assets, including solar PV, battery storage, and hybrid plants. This role owns site level communications architecture, machine to machine (M2M) communications integration, and secure connectivity between sites, utilities, and cloud platforms. PRIMARY DUTIES / RESPONSIBILITIES Lead integration of site controllers, inverters, and auxiliary equipment into a unified plant communications architecture Design and configure machine to machine (M2M) communications between site controllers, inverters, and plant level gateways and data concentrators Define and deploy end to end communication networks, including industrial Ethernet (fiber/copper), layered OT network segmentation, and integration of secure connectivity platforms, data collectors, and industrial gateways Design and support OT networks, including firewalls, routers, switches, VLANs and segmentation, and fiber optic networks Manage secure communication interfaces between sites and utilities, transmission operators, ISOs/RTOs, asset owners, and cloud based platforms Configure and validate protocols for wide area communications, including real time telemetry, dispatch and control signals, and event and disturbance reporting Design and implement multi layer cybersecurity architectures, including segmented network zones, secure data replication layers, and unidirectional gateways (data diodes) for critical assets Support compliance with NERC CIP standards, utility interconnection requirements, and internal cybersecurity frameworks Enable inverter monitoring, diagnostics, and fault detection through integration with cloud based dashboards Collaborate with O&M and engineering teams to troubleshoot issues and optimize system performance Maintain auditable data and communication structures to meet regulatory compliance requirements Other duties as assigned REQUIRED QUALIFICATIONS Bachelor's degree in Electrical Engineering, Computer Engineering, or a related discipline, or equivalent relevant work experience At least 5 years of utility communications, industrial networking, OT systems, or energy management systems experience Strong understanding of firewalls and network security fundamentals Ability to debug network connections using tools such as Wireshark Extensive hands on experience with utility scale OT communication systems, including RTUs, PLCs, industrial gateways, and edge/data collection devices Strong experience with industrial and utility protocols such as Modbus TCP/IP, DNP3, IEC 61850 (preferred), and OPC UA Strong understanding of OT cybersecurity principles, including defense in depth architectures, secure remote access/VPNs, and network segmentation and monitoring Experience implementing secure communication paths between OT and IT systems Comfort working with field data, diagnostics, and system telemetry Proficiency in English, both written and verbal. PREFERRED QUALIFICATIONS Background in commissioning or field deployment Experience implementing unidirectional security solutions (data diodes) Knowledge of ISO/RTO integration requirements Strong cross functional collaboration across engineering, O&M, and IT/security teams Excellent troubleshooting and problem solving capabilities Ability to clearly communicate technical architectures to both technical and non technical stakeholders Familiarity with NERC CIP and cybersecurity frameworks for critical infrastructure Proficiency with Microsoft Office Suite (Word, PowerPoint, Excel) Proven ability to work effectively in a matrix organization German or Spanish language skills. WE OFFER Compensation: $138,000 to $158,000 base salary, commensurate with experience. Relocation assistance available for qualified candidates. Medical plan options through Aetna, plus Kaiser in California, including a $0 premium option, with SMA covering about 90% or more of medical premiums and contributing up to $1,500 a year to your HSA on the high deductible plan. $0 employee only dental and vision options, plus short and long term disability and $50,000 in life and AD&D insurance at no cost. 16 days of PTO, increasing with tenure, plus 12 paid holidays. 401k plan with a 100% match up to 5%. Tuition reimbursement and opportunities for professional development. WORK AUTHORIZATION Applicants must be authorized to work in the United States on a full time basis. SMA America does not offer employment visa sponsorship of any kind, including H-1B, OPT, CPT, or TN visas. Candidates who currently require or will in the future require visa sponsorship are not eligible. Candidates operating under a temporary work permit or any visa tied employment authorization are also not eligible. AI ASSISTED APPLICATION MATERIALS We welcome candidates who use AI tools to organize or polish their application materials. Your resume and responses must accurately reflect your own experience and be written in your own voice. Applications that include fabricated or exaggerated experience, hidden text or embedded instructions, or prescreen responses that do not reflect your own knowledge may be removed from consideration. We want to hear your story: the work you have done, the results you have delivered and the experience you would bring to SMA. RECRUITMENT FRAUD NOTICE All SMA America openings are posted on our official careers page and all recruiter communication comes from address. We never request payment, banking information, or a Social Security number during the recruitment process. If you are contacted about an SMA America role from a personal email account, or asked for any of the above, please forward the message to Our EEO Policy We are an equal opportunity employer and we make our employment decisions on the basis of merit and without regard to one's race, color, creed, sex (includes gender, pregnancy, childbirth and related medical conditions), gender identity, religion, marital status, age (over 40), national origin or ancestry, physical or mental disability (includes HIV/Aids), medical condition (cancer, genetic characteristics), veteran's status, sexual orientation, or any other consideration made unlawful by law. In accordance with applicable law protecting qualified individuals with known disabilities, SMA will attempt to reasonably accommodate qualified applicants with known disabilities, unless doing so would create an undue hardship on SMA. Any qualified applicant with a disability who believes he or she requires an accommodation in order to perform the essential functions of the job for which he or she is applying should identify the accommodation(s) needed in the application. Our Privacy Policy During your job application or recruitment process with us: (a) SMA may collect your personal information directly from you, such as when you submit your application and resume on our online portal or when you have job interviews with us. We may also obtain your personal information from third parties, including but not limited to your former employers, background or employment check service providers or third-party recruiters; and, (b) SMA may use or process applicants' personal information for relevant purposes including but not limited to general communications with you, identity verification, background or employment checks, determination of eligibility, and making hiring decisions. For successful job applicants who become SMA's staff . click apply for full job details