283 jobs found

We are looking for an Embedded Software Development Manager to lead the team building and scaling VirtSat - Leo's virtual satellite simulation platform. KSS enables developers and pipelines across Leo to create, provision, and test virtual satellites, ground gateways, customer terminals, and TT&C antennas on EC2 bare-metal infrastructure running KVM/QEMU. You will own the Graviton virtualization layer and lead the team responsible for VM lifecycle, LRU boot, subsystem provisioning, and software deployment for every virtual entity in the constellation. You'll work at the intersection of cloud infrastructure, embedded Linux, and satellite operations - leading the team that builds the platform every Leo satellite software release is tested on before launch. Key job responsibilities Lead a team of embedded engineers building and operating the Graviton bare-metal virtualization layer (KVM/QEMU VM management, subsystem provisioning, health monitoring, and fault recovery) Partner with 10+ client teams across satellite, ground, networking, and security organizations to drive VirtSat adoption Drive platform reliability to 99.96% availability with optimized latency (target: Own the custom AMI pipeline, provisioning scripts, and plugin framework that deploy satellite software onto emulated LRUs Scale the platform to 4K+ concurrent virtual entities Hire, develop, and retain top embedded engineering talent Define technical roadmap for fidelity improvements (HSM crypto emulation, EFUSE emulation, CAN bus simulation, error injection frameworks) Reduce HITL dependency by expanding the scope of tests that run on VirtSat Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. BASIC QUALIFICATIONS - 5+ years of people management, managing engineers experience - Experience with embedded systems, Linux systems programming, or virtualization (KVM/QEMU) - Experience building and operating distributed systems at scale (AWS services - EC2, ECS, Step Functions, DynamoDB) - Experience with infrastructure-as-code (CDK, CloudFormation) - Track record of hiring, developing, and retaining strong engineering teams - BS/MS in Computer Science, Electrical Engineering, or equivalent PREFERRED QUALIFICATIONS - Experience managing teams that own both service infrastructure and embedded/guest-OS layers - Experience with ARM64/Graviton bare-metal instances - Experience with QEMU device emulation or custom QEMU plugins - Experience with network virtualization (WireGuard, Transit Gateway, IPAM) - Familiarity with satellite systems, HITL test environments, or simulation platforms - Experience with embedded Linux (Yocto, systemd, device trees, boot processes) - Experience with CI/CD pipelines, automated testing (Hydra, Spock), and developer tooling - Experience with Rust for systems programming - Experience with certificate provisioning, secure boot, or HSM interfaces Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, WA, Redmond - 184 200.00 USD annually

In this role, you will manage a team responsible for software on Storage devices and Over-The-Air updates on Kuiper satellites. Our mission is to ensure that we provide robust systems software to all the various compute systems on the satellite. Our focuses are on reliability, safety, and security. Project Kuiper is an initiative to launch a constellation of Low Earth Orbit satellites that will provide low-latency, high-speed broadband connectivity to unserved and underserved communities around the world. In this role, you will bring that vision to life by designing, developing and testing the embedded software that controls individual satellites. Key job responsibilities - Hire and support top talent to meet goals of the team. - Define and drive the multi-year vision for the team. - Oversee resource allocation to ensure appropriate business and staff development goals are met. - Participate in strategic planning to achieve technical and business goals. - Work closely with engineers to architect and deliver the best technical designs and approaches. Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. BASIC QUALIFICATIONS - 3+ years of engineering team management experience - 7+ years of working directly within engineering teams experience - 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience - 8+ years of leading the definition and development of multi tier web services experience - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - Experience in embedded systems projects PREFERRED QUALIFICATIONS - Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy - Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, WA, Redmond - 184 200.00 USD annually

Job Description Job Description Location: Poway, CA Job Type: Full-time (40 hours/week), Non-exempt (hourly), In-Person Department: Quality Reports To: Quality Manager About the Role: The purpose of this position is to support the Quality Departments ability to achieve its goals. This includes accurate and timely programming and inspection of parts as well as review of incoming material, work-in-process and customer shipments to achieve AMT quality and business objectives and comply with AS9100 standards. Other duties may be assigned as needed. Key Responsibilities: Load parts, fixtures, and probes; execute existing CMM programs. Write, develop, validate and debug measuring machine programs and provide the supporting documentation for CMM inspections. Communicate with all machinists, supervisors, and engineers to meet customer/shop floor needs. Troubleshoot and solve both machine issues and related problems in the measuring process. Perform 1st piece, in-process and last piece inspection using micrometers, calipers, comparators, various gauges and CMM equipment according to AMT, customer and AS9100 standards. Complete customer PPAP requirements including control plans and inspection reports. Perform incoming material inspection tasks according to AS 9100 procedures and counterfeit awareness per AS6174. Perform final inspection according to AS 9100 procedures. Perform process and manufacturing audits and follow-up with corrective actions. Cross train across multiple departments as needed. Perform data collection and communication tasks in ERP and other applications. Comply with all Advanced Machining and Tooling policies and procedures Other duties as assigned. Qualifications: 3+ years of CMM operating and 1+ years of CMM programming. Strong specific knowledge of blueprint reading, GD&T, setup, tooling and fixture techniques. Ability to create inspection reports, perform 1st article/in-process/final inspection reports. Knowledge of inspection tool usage such as Micrometers, Calipers etc. Good typing skills and ability to use software such as word, excel etc. Knowledge of how CAD models work. Demonstrated critical thinking abilities and root cause analysis. Strong attention to detail and accuracy. Proficient use of shop arithmetic and strong math skills. Awareness of general safety, and quality systems. High School Diploma or GED. Nice to Have: Bachelor's degree in mechanical engineering or related discipline. Rock skills. Specific applied knowledge of aerospace quality procedures and AS9100. Knowledge of non-destructive testing, metal finish processes, Metallurgy and heat treatment processes Working knowledge of CNC machining, tool, fixture, work-holding and die design. Ability to understand CMM reports. Total Rewards Package The hourly pay range for this position is $30 - $45 per hour (depending on experience). This is a permanent, non-exempt (hourly), full-time position. Medical Coverage Dental Coverage Vision Coverage 10 days paid vacation annually 5 days of paid sick leave annually 401K Plan with matching 12 Paid Holidays Additional Benefits: Flexible spending account Life insurance Parental leave Professional development assistance Employee Assistance Program Work Authorization/Security Clearance The company requires access to information, or technology that is subject to the International Traffic in Arms Regulations (ITAR) and other US government security regulations. These laws do not permit access rights to non-US citizens, or to other unauthorized individuals. This position is subject to a background check, drug test, and reference check. Must be a United States Citizen, or US Permanent Resident. AAP/EEO Statement Advanced Machining and Tooling LLC provides equal employment opportunity to all individuals regardless of their race, color, creed, religion, gender, age, sexual orientation, national origin, disability, veteran status, or any other characteristic protected by state, federal, or local law. Ability to commute/relocate to work location: Poway, CA 92064: Reliably commute or planning to relocate before starting work (Required) Why Join Us: AMT is a place full of hardworking people creating things. We are service orientated and work to always take good care of our customers and our people. It's also a place where people are given opportunities to learn and grow with the support of our hi Monday - Friday 7:00 AM - 3:30 PM PST 40 hours weekly with the potential for optional overtime

Job Description Job Description At Pinnacle Business Strategies, our greatest asset is our team. We are a people-first, mission-driven organization built on a simple philosophy: when we invest deeply in our teammates, exceptional results naturally follow. We don't just talk about supportive culture; we live it by providing continuous learning opportunities and supporting your long-term career growth. When you join our team, you are not just taking a job; you are joining a collaborative community of top talent. Our daily work is fueled by a shared commitment to making a tangible impact. At Pinnacle Business Strategies, LLC, our mission is to empower organizations to achieve exceptional performance through innovative strategies and technology solutions. Together, we bring an entrepreneurial mindset to align cutting-edge technology, IT integration, and geospatial analytics to help solve complex challenges. If you are looking for a dynamic workplace that values your unique contributions and actively champions your development, Pinnacle is the place to build your future. The Data Engineer is responsible for designing, developing, and maintaining enterprise data pipelines, dashboards, and visualization solutions that support operational monitoring, analytics, and decision-making. This role works with enterprise monitoring platforms, cloud technologies, databases, APIs, and automation tools to collect, transform, and visualize operational data while ensuring data quality, reliability, and scalability. The ideal candidate has strong experience with Python, SQL, cloud-based data engineering, ETL/ELT processes, and data visualization, along with the ability to communicate technical findings to both technical and non-technical stakeholders. Responsibilities Work with enterprise monitoring tools including Grafana, Prometheus, and ServiceNow to integrate operational events, service impacts, and system metrics into dashboards and visualizations. Quickly learn and apply new enterprise monitoring, visualization, analytics, and data platforms as business needs evolve. Design, build, and maintain interactive dashboards, reports, charts, and visualizations that communicate operational performance and actionable insights. Translate monitoring and analysis results into meaningful operational metrics that support decision-making. Collect, clean, transform, and organize data from SQL/NoSQL databases, APIs, streaming services, and flat files to ensure accuracy, consistency, and reliability. Build, maintain, and optimize ETL/ELT pipelines and data ingestion workflows for centralized data repositories and reporting. Implement data validation and quality checks to maintain data integrity across data platforms. Develop scripts and automation to streamline repetitive tasks and improve operational efficiency. Investigate and troubleshoot data pipeline, observability, monitoring, and reporting issues independently and collaboratively. Collaborate with stakeholders, managers, analysts, and technical teams to translate business requirements into scalable data solutions. Maintain documentation for data systems, workflows, and business rules. Utilize Git for version control and follow established development best practices to support reliable deployment and maintenance of data solutions. Present technical findings to both technical and non-technical audiences. Collaborate with team members and share knowledge of tools, processes, and best practices. Analyze large datasets to identify trends, anomalies, and opportunities for operational improvement. Apply data modeling and data storytelling techniques to transform raw data into actionable insights. Perform other duties as assigned. Required Qualifications High School Diploma or GED equivalent with 8+ years of relevant experience OR: Associates degree and 6+ years experience OR: Bachelors Degree and 4+ years experience Experience designing and maintaining ETL/ELT pipelines. TS/SCI security clearance Successfully pass background and drug screening Preferred Qualifications: Experience designing and developing dashboards, reports, and data visualizations using tools such as Grafana, Power BI, Tableau, Kibana, or similar platforms. Experience automating data workflows using Apache Airflow or similar orchestration tools. Experience with cloud platforms and services such as AWS (S3, Lambda, Glue), Azure Data Factory, or Google BigQuery for data storage, processing, and orchestration. Familiarity with secure, scalable, and cost-effective cloud data solutions. Familiarity with CI/CD practices in data engineering environments. Knowledge, Skills, and Abilities: Strong knowledge of cloud environments (AWS, Azure, or GCP). Familiarity with data warehousing, data modeling, and version control systems (e.g., Git). Excellent analytical, organizational, and communication skills. Proficiency in Python, SQL, and working with RESTful APIs. Ability to work independently and yet be effective within a team setting Must be capable of managing multiple efforts with time-related constraints in a fast-paced contracting environment Demonstrated ability to effectively communicate and collaborate with diverse internal and external stakeholder groups and individuals Friendly presence, helpful attitude, good interpersonal skills, and ability to work well with others. Excellent skills in Microsoft Word, Excel, and other Office applications Proficient with Microsoft Office Applications, and experience working in a home office setting as well as the ability to train end users on frequently asked technical issues. Ability to provide technical assistance and support over the phone; good phone skills, professional demeanor, and previous customer service experience strongly desired. Good problem-solving skills; ability to visualize a problem/situation and think abstractly to solve it.

Job Description Job Description Wunderlich-Malec Engineering (WM) is a 100% employee-owned ESOP and one of the largest and most well-established engineering companies in the United States. When you join WM you become part of a company that is: - 100% employee-owned company with over 40 years of industry history - A Top 5 Systems Integrator Giant - ENR top 500 firm at The Controls and OT Engineer will interact directly with the customer and could lead a team of Wunderlich-Malec engineers in identifying requirements, developing specifications, and implementing/testing/commissioning/qualifying automation solutions. This position requires strong problem-solving ability, well-balanced people skills, an aptitude for business efficiency, and an interest in creating partnerships. The Controls and OT Engineer demonstrates success by securing repeat work with both new and existing customers. Major Responsibilities This position requires the ability to deliver innovative automation solutions and design standards either self-directed or as a leader of a team. The candidate must have the ability to conceptualize, detail, and implement control systems for industrial processes and machinery that meet our customer's requirements. This involves the development of a control system architecture, selecting the components to be used, detailing schematic diagrams and system documentation, programming controllers (PLC, DCS, RTU), programming the process visualization (HMI/SCADA), developing databases for archiving/displaying historical system data and implementing/commissioning the control system at the client's facility. Knowledge of controller programming languages such as Ladder, Sequential Function Chart, Structured Text, and others to achieve the desired results is preferred. Also having knowledge of standard programming languages such as VBA, .NET, and SQL for the development of HMI/SCADA systems is required For larger systems, experience with industrial networking used to connect control system components and instrumentation is preferred. The Controls Engineer will design, document, and implement a variety of fiber, wired, and wireless systems using industrial protocols (Ethernet/IP, Profinet, Modbus, etc.). The ideal candidate must have a diverse engineering skillset with the ability to work independently. Will act as technical lead on projects and guide junior engineers and technicians. Could also act as Project Manager on smaller projects Minimum Requirements Education A Bachelor of Science degree in Electrical/Control Engineering, Mechanical Engineering, Chemical Engineering, or Computer Science is preferred. Required Experience 6+ years with capabilities in the below areas: In-depth understanding of HMI/SCADA hardware/software platforms such as ICONICS Genesis64, Wonderware ArchestrA System Platform, GE CIMPLICITY, GE iFIX, Rockwell Automation FactoryTalk View, Schneider, and Siemens Various 3rd party web-based data integrations for monitoring and troubleshooting aid Develop work processes to automate template and instance development within the System Platform Provide technical leadership on design standards around graphics, alarming, and scale-up SQL, .NET, Power BI, Grafana, and APIs Understanding of PLC hardware/software platforms such as Rockwell Automation, Siemens, and Modicon In-depth understanding of DCS hardware/software platforms such as Emerson DeltaV or similar Experience in industries such as Food and Beverage, Oil & Gas, and/or Material and Grain Handling Experience in design of electrical schematics, including power distribution under 480VAC, control panels, and associated NEC references desired Experience with AutoCAD is also desired Experience leading a team of engineers/technicians to provide control system solutions a plus Experience mentoring less experienced engineers Professional references, preferably one from each of the following: a subordinate, a peer, and a manager Ability to travel up to 30%. Physical Demands of Position Seeing, color perception, hearing, clear speech, dexterity in hands, driving, lifting, ability to mount/dismount equipment, pushing, and pulling. Working Environment Standard office environment, on-site office environment, diverse industrial environments, frequent use of a personal computer, facsimile/copy machines, phones. Our People Empowered Employee-Owners - As owners of Wunderlich-Malec, we are invested in its success. We hire top talent and empower them to take initiative, drive innovation, and deliver impactful solutions Motivated & Rewarded - We invest in continuing education and offer world-class benefits, ensuring our employee-owners stay motivated, fulfilled, and future-ready Positive & Committed - Our experts bring long-term dedication and a positive, can-do attitude to every project Industry-Smart - Recognized leaders in their fields, our employee-owners stay sharp through ongoing training and deep knowledge of evolving industry trends Job Descriptions are not exhaustive lists of all skills, responsibilities, or efforts associated with a job. They reflect principal job elements essential for performing the job and evaluating performance. Wunderlich-Malec is proud to offer a comprehensive employee-owner benefit package. Full-time employees may be eligible for the following benefits: Medical • Dental • Vision • Basic and Supplemental Life and AD&D • Long Term Disability • Voluntary Short Term Disability • Healthcare & Dependent Care Flexible Spending Accounts • Health Savings Account • Paid Time Off (PTO) • Paid Holidays • Tuition Reimbursement • Referral Bonus Program • 401(k)/Profit Sharing • 100% ESOP (Employee Stock Ownership Plan) • Employee Assistance Program • Will Preparation Resources • Worldwide Travel Assistance Salary Range The expected salary range is $85,000 - $150,000 per year depending on qualifications plus a discretionary bonus and employee stock program.

Job Description Job Description Location: Poway, CA Job Type: Full-time (40 hours/week), Non-exempt (hourly), In-Person Department: Quality Reports To: Quality Manager About the Role: The purpose of this position is to support the Quality Departments ability to achieve its goals. This includes accurate and timely programming and inspection of parts as well as review of incoming material, work-in-process and customer shipments to achieve AMT quality and business objectives and comply with AS9100 standards. Other duties may be assigned as needed. Key Responsibilities: Load parts, fixtures, and probes; execute existing CMM programs. Write, develop, validate and debug measuring machine programs and provide the supporting documentation for CMM inspections. Communicate with all machinists, supervisors, and engineers to meet customer/shop floor needs. Troubleshoot and solve both machine issues and related problems in the measuring process. Perform 1st piece, in-process and last piece inspection using micrometers, calipers, comparators, various gauges and CMM equipment according to AMT, customer and AS9100 standards. Complete customer PPAP requirements including control plans and inspection reports. Perform incoming material inspection tasks according to AS 9100 procedures and counterfeit awareness per AS6174. Perform final inspection according to AS 9100 procedures. Perform process and manufacturing audits and follow-up with corrective actions. Cross train across multiple departments as needed. Perform data collection and communication tasks in ERP and other applications. Comply with all Advanced Machining and Tooling policies and procedures Other duties as assigned. Qualifications: 3+ years of CMM operating and 1+ years of CMM programming. Strong specific knowledge of blueprint reading, GD&T, setup, tooling and fixture techniques. Ability to create inspection reports, perform 1st article/in-process/final inspection reports. Knowledge of inspection tool usage such as Micrometers, Calipers etc. Good typing skills and ability to use software such as word, excel etc. Knowledge of how CAD models work. Demonstrated critical thinking abilities and root cause analysis. Strong attention to detail and accuracy. Proficient use of shop arithmetic and strong math skills. Awareness of general safety, and quality systems. High School Diploma or GED. Nice to Have: Bachelor's degree in mechanical engineering or related discipline. Rock skills. Specific applied knowledge of aerospace quality procedures and AS9100. Knowledge of non-destructive testing, metal finish processes, Metallurgy and heat treatment processes Working knowledge of CNC machining, tool, fixture, work-holding and die design. Ability to understand CMM reports. Total Rewards Package The hourly pay range for this position is $30 - $45 per hour (depending on experience). This is a permanent, non-exempt (hourly), full-time position. Medical Coverage Dental Coverage Vision Coverage 10 days paid vacation annually 5 days of paid sick leave annually 401K Plan with matching 12 Paid Holidays Additional Benefits: Flexible spending account Life insurance Parental leave Professional development assistance Employee Assistance Program Work Authorization/Security Clearance The company requires access to information, or technology that is subject to the International Traffic in Arms Regulations (ITAR) and other US government security regulations. These laws do not permit access rights to non-US citizens, or to other unauthorized individuals. This position is subject to a background check, drug test, and reference check. Must be a United States Citizen, or US Permanent Resident. AAP/EEO Statement Advanced Machining and Tooling LLC provides equal employment opportunity to all individuals regardless of their race, color, creed, religion, gender, age, sexual orientation, national origin, disability, veteran status, or any other characteristic protected by state, federal, or local law. Ability to commute/relocate to work location: Poway, CA 92064: Reliably commute or planning to relocate before starting work (Required) Why Join Us: AMT is a place full of hardworking people creating things. We are service orientated and work to always take good care of our customers and our people. It's also a place where people are given opportunities to learn and grow with the support of our hi Monday - Friday 7:00 AM - 3:30 PM PST 40 hours weekly with the potential for optional overtime

Job Description Job Description Company Description Working at Knobelsdorff Along with building state-of-the-art projects, we build meaningful careers, lasting opportunities, and teams of dedicated individuals who truly own their work. As a leading turnkey specialty contractor specializing in Automation, Electric, Energy, and Power Services, our team tackles challenging, cutting-edge projects that provide opportunities to build new skills, confidence, and gain valuable hands-on experience in a variety of different industries. We tackle industrial electrical installations, advanced automation systems, and renewable energy solutions. Since our founding as a family-owned company in 1988, we've grown while staying true to our core value. Starting your career with Knobelsdorff (KE) means joining a culture that values your contributions, moves quickly, takes calculated risks, and celebrates team members who step up and own their work. If you're ready to join a team where your voice matters, your growth is supported, and your impact is celebrated, KE is the place for you. Job Description This role supports KE Automation by designing, developing, and commissioning SCADA and HMI systems for complex industrial automation projects. You'll be responsible for creating intuitive operator interfaces, integrating automation systems, and delivering visualization solutions that directly impact operational efficiency, system reliability, and customer success. Success in this role means delivering scalable, user-friendly control systems that help customers operate safely and efficiently while supporting successful project execution from design through startup. All of this is accomplished while upholding KE's commitment to Safety, People, Passion, and Performance. If you're someone who takes pride in solving complex problems and seeing your work come to life in real-world facilities, this position is built for you. What You'll Do You'll be part of a team that gets things done, works with purpose, and takes pride in the results. Your day-to-day responsibilities may include: Design and develop SCADA and HMI applications for industrial automation projects. Create intuitive operator interfaces focused on usability, reliability, and performance. Configure alarming, trending, reporting, historian, and security functions within SCADA platforms. Develop reusable graphics, templates, faceplates, and visualization standards. Integrate PLCs, instrumentation, VFDs, databases, historians, and third-party systems. Configure industrial communication protocols including OPC UA, Modbus TCP/IP, and EtherNet/IP. Participate in system architecture, software design, and functional reviews. Perform Factory Acceptance Testing (FAT), Site Acceptance Testing (SAT), and commissioning activities. Troubleshoot software, communication, and control system issues during startup and operation. Collaborate with customers, project managers, and engineering teams to optimize system functionality. Follow KE development standards, documentation practices, and quality procedures. Support continuous improvement initiatives related to software standards, engineering tools, and project execution. Qualifications What You Bring You're someone who shows up ready to work hard, learn fast, and contribute to a team that takes pride in doing things right. Successful candidates typically bring: Bachelor's degree in Electrical Engineering, Computer Engineering, Automation Engineering, or a related field, or equivalent industry experience. 3+ years of industrial automation, SCADA, or HMI engineering experience. Experience developing industrial SCADA and HMI applications. Experience with platforms such as Ignition, FactoryTalk View, AVEVA System Platform (Wonderware), Siemens WinCC, VTScada, ICONICS, Cimplicity, or similar technologies. Understanding of industrial networking and communication protocols. Experience integrating major PLC platforms including Rockwell Automation, Siemens, Schneider Electric, Beckhoff, or similar systems. Strong troubleshooting, analytical, and problem-solving skills. Ability and willingness to travel for commissioning, startup, and customer support activities. Bonus Points For Ignition Gold Certification or equivalent experience. Experience with SQL databases. Experience with scripting languages such as Python, JavaScript, VB.NET, or similar. Familiarity with MQTT and Industrial IoT architectures. Knowledge of ISA-101 HMI design principles and visualization best practices. Experience with industrial historians, reporting tools, and cybersecurity concepts. Familiarity with Git or other version control systems. Experience supporting mission-critical, manufacturing, or regulated industrial environments. Additional Information Pay Range We believe in paying for the value you bring to the team, and we aim to be competitive in every market we hire in. Pay Range: $100,000- $120,000 per year Total Rewards Statement As a full-time employee at KE, you'll have access to a comprehensive benefits package designed to support your health, wellbeing, and future. 100% employer-paid health and dental coverage for employees HSA contributions to support your medical expenses Company-paid life insurance and disability coverage 401(k) with competitive company match Performance-based incentives Paid weekly with competitive wages PTO, six paid holidays, and education reimbursement Exclusive employee discounts through Working Advantage We believe your work should be rewarded with more than just a paycheck. At KE, we invest in your total wellbeing. Physical Requirements The physical demands described here are representative of those that must be met to successfully perform the essential functions of this job. Reasonable accommodation may be provided for individuals with disabilities. Typical requirements may include: Ability to sit, stand, walk, kneel, and stoop for extended periods Ability to lift and carry up to 50 lbs Ability to work in close proximity to team members in a production environment Accessibility: If you need accommodations as part of the employment process, please contact KE Human Resources at . Equal Opportunity Employer (EEO) Knobelsdorff (KE) is an EEO to all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, citizenship, veteran status, or any other protected characteristic under applicable federal, state, or local law. Applicants have rights under Federal Employment Laws: EEO is the Law (English/Spanish) KE participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the United States. For more information about E-Verify, please review the E-Verify Participation and Right to Work posters If you need accommodation during the hiring process, let us know and we'll work with you.

Job Description Job Description Who We Are Prowess Consulting is a consulting firm that specializes in helping the largest enterprises in the technology industry define, manage, benchmark, and market their solutions and services. We take great pride in investing the time and effort to gain a deep understanding of our clients' technologies, their customers, and the stories and strategies they need to tell to be successful in the market. Our team of technology and marketing experts is immersed in the technology trends that affect our clients' businesses, so we can add value at every stage of engagement to help them succeed. Who You Are Prowess Consulting is looking for a curious, motivated, and highly self-directed Business Analyst/Operations Support Administrator to join our growing team. This is a broad, hands-on role for someone who can turn their hand to almost anything - from requirements gathering, validation of changes, process improvement, activity planning and orchestration, to operational problem-solving and team support. We need someone who is comfortable with ambiguity, quickly gets to the heart of a problem, and naturally takes the initiative to work out what needs to happen next. The right person will thrive across multiple projects and stakeholders, enjoy solving new and unfamiliar problems, and be the kind of person who can simply jump in, take ownership and move things forward. To be considered for this role, you must reside in the greater Seattle area. This role will require being on-site 1 - 2 days per week. This is a full-time, hybrid role, and collaboration with teammates centered in various US time zone will be essential. No third-party agencies, please . The Role and Responsibilities The individual will support across a range of priorities, including: Business Analyst responsibilities (70%) Requirement gathering andtranslation of business needs and ideas into clear requirements, plans and actions. Main scope areas: reporting using PowerBI, utilizing Dynamics 365 (D365) for customer engagements, and create wireframes where needed and/or mockups to hand over to the development team. Execute validation, testing and support user roll-out of new features or changes. Validation and testing: test new features from the development team to ensure they are functional and according to requirements and aligned with business goals. Stakeholder Liaison: Collaborating and orchestrating closely with developers, product managers, insights teams and end users to refine requirements and define quality metrics. Documentation of updates within Dynamics and SharePoint. Facilitate and conduct short training sessions for users. Team support responsibilities (30%) Support broader team priorities as needed, including planning of workshops, meetings, events, communications, documentation, SharePoint updates, and other operational activities. Take ownership of new, unfamiliar or ambiguous problems, quickly work out what needs to happen, and drive them through to a practical outcome. Qualifications Must have demonstrated, recent experience creating and using PowerBI dashboards Previous experience working with teams as a business analyst, including operational support is required. Strong Excel skills is required. Curious, sharp and adaptable and brings energy and a positive attitude to everything they do. Analytic mindset & problem solver Can take an unclear problem, structure it and determine the right next steps. Works independently, takes ownership and follows things through. Communicates clearly and concisely. Can move comfortably between detail and the bigger picture. Learns new tools, systems and subject areas quickly. Is pragmatic, collaborative and happy working across multiple moving priorities. Additional Details The offered pay range for this position is $85,000 - 95,000 year. Prowess Consulting is an equal-opportunity employer, and diversity is a core value for us. We are a Minority/Women-owned Business Enterprise (WMBE) in Washington, and we committed to diversity, equity, and inclusion. At Prowess Consulting, we are passionate about building and sustaining an inclusive and equitable working and learning environment for all employees. We provide a well-rounded benefits package including health insurance, flexible spending account, life and disability insurance, paid time off, and retirement plan investing. For more information, please visit . Powered by JazzHR Y7NIGTZOt9

Job Description Job Description Meta Ads Specialist WHO WE ARE We are a full service Interactive Agency, based out of our Southern California headquarters. We are a passionate team of entrepreneurs in a medium-sized established digital agency. We work for clients all over the world, and we have an expanding team of people who share the IM dream. We are looking for an experienced Paid Ads Specialist to join us on the journey. We do Custom Website Development, Design, SEO, Mobile, Content Marketing, etc. Check our site for more details Purpose of the Social Ads Specialist is to lead or assist in the creation and management of Facebook, Instagram, LinkedIn, Pinterest, TikTok and YouTube ads that maximize the online presence of businesses. Collaborate with Account Management and Strategists on campaign strategy and value communication. WHO YOU ARE The ideal candidate will be highly motivated to increase revenue and have a history of strong ROI working in Meta Business Manager and other social platforms. As a Social Ads Specialist, you'll implement, optimize and report on digital marketing strategies for our clients. Responsibilities Meta Ads certified Meta Ads Expert Create and run Meta ads campaigns from start to finish. Create and launch full ad sets with differing objectives and goals. Advanced knowledge in generating pixels, run pixel tests, implementing UTM codes, and tracking performance Creative copywriter + editor Execute tests, collect and analyze data, and insights in order to achieve maximum ROI in social ad campaigns Work with our team to optimize copy and landing pages for better campaign conversions Ability to manage multiple projects at the same time Knowledge of trends on marketing channels and technologies, including paid search (Google AdWords), retargeting and paid social media advertising (Meta, Twitter, LinkedIn, Pinterest, and TikTok in near future) Excellent communicator and creative thinker Client communication and reporting on campaigns Communication with leadership on campaigns Management of budget for all social ads Complete all boosted content assignments as given by the team Management of the company's business manager and getting clients into BM Experience, enthusiasm for our industry (Aesthetic Medicine) Enthusiasm for paid ads and drive for continued growth Requirements Meta Lead Ads (REQUIRED) Meta Conversion Ads (REQUIRED) Meta pixel mastery (REQUIRED) Meta UTM code implementation (REQUIRED) Google AdWords: 1 year (Preferred) Creation of designs for ads (CANVA or ADOBE) SEM: 1 year (Preferred) PPC: 1 year (Preferred) The most important factor is your willingness to join a great team, fit in with others and think creatively. Our clients come to us seeking solutions, and we deliver high-quality services. COMPENSATION & PERKS Starting Pay: $50-58k/year, depending on experience Job Type: Full-time (32 hours per week), Salary Schedule to be determined post hire, but flexibility is a requirement Location: This position is primarily remote Medical/Dental/Vision 401k Unlimited PTO Wellness Reimbursement

Description: GXM Technologies is seeking a Senior Agile Program Integration Lead to support advanced defense and space mission programs requiring disciplined Agile execution, complex systems integration, and enterprise-level delivery synchronization. This role provides senior leadership across multiple technical teams and workstreams, using hands-on Scaled Agile Framework (SAFe) practices to align planning, technical integration, MVP releases, operational milestones, and Initial Operational Capability (IOC) objectives. The ideal candidate combines hands-on SAFe execution with technical program integration, systems engineering awareness, release management, and operational mission delivery. This individual will work with Program Managers, Product and Solution Management, engineers, DevSecOps teams, architects, cybersecurity personnel, test organizations, and Government stakeholders to translate priorities into executable Program Increments and synchronized delivery plans. This role is onsite in Colorado Springs, CO due to operational integration and classified mission requirements. Hybrid flexibility may be available over time based on mission requirements, program execution needs and achievement of objectives. Responsibilities Serve as the senior Agile program integration lead, providing hands-on SAFe execution leadership across multiple technical teams, Agile Release Trains (ARTs), and integrated workstreams. Apply SAFe practices to synchronize systems engineering, software, cloud, cybersecurity, data, DevSecOps, integration, test, and operational mission teams against shared program objectives. Lead and facilitate SAFe planning and synchronization activities, including: Program Increment (PI) Planning and PI execution; ART Sync, Scrum of Scrums, and cross-team coordination; System Demos and Inspect & Adapt events ; Dependency, impediment, and ROAM risk management; MVP, capability release, and integration coordination; Operational milestone and IOC readiness alignment Configure and manage Jira, Confluence, and enterprise Agile planning tools to maintain program backlogs, PI objectives, capabilities and features, dependencies, risks, roadmaps, release plans, and delivery visibility. Develop and maintain integrated roadmaps, delivery schedules, release plans, and milestone artifacts that align SAFe PI cadence and team commitments with the Integrated Master Schedule (IMS), technical baselines, operational events, and IOC objectives. Facilitate cross-team synchronization, decision-making, and issue resolution across technical teams, mission stakeholders, engineering organizations, Government leadership, and delivery partners. Provide hands-on leadership for Agile ceremonies and program-level events, ensuring decisions, dependencies, risks, actions, and commitments are documented and driven to closure. Monitor PI objectives, delivery predictability, flow metrics, risks, dependencies, constraints, and operational impacts; lead mitigation, escalation, and corrective action when delivery is at risk. Provide program leadership with actionable metrics, Jira dashboards, roadmap reporting, PI status, milestone health, dependency visibility, risk trends, and executive-level reporting. Collaborate with Program Managers, Enterprise Architects, Chief Engineers, Product and Solution Management, Technical Leads, cybersecurity teams, and mission stakeholders to align Agile execution with engineering and operational requirements. Drive continuous improvement of SAFe, Lean-Agile, DevSecOps, and delivery management practices appropriate to classified and mission-critical environments. Coordinate configuration management, knowledge management, and documentation alignment so program baselines, Agile artifacts, technical decisions, release content, and delivery evidence remain current and traceable. Lead transition planning, release coordination, capability deployment, and readiness synchronization aligned to mission events, MVP demonstrations, and IOC objectives. Requirements: U.S. Citizen with active TS/SCI clearance. Bachelor's degree in engineering, computer science, information systems, business, program management, or a related discipline; equivalent relevant experience may be considered. 8+ years of experience in Agile delivery, technical program integration, systems integration, release management, software-intensive programs, or operational program execution, including senior responsibility for cross-team delivery. Demonstrated hands-on experience implementing and executing the Scaled Agile Framework (SAFe) in a complex, multi-team technical environment; certification or classroom knowledge alone is not sufficient. Demonstrated experience leading or directly facilitating SAFe program-level activities, including: PI Planning, PI execution, and PI objective management; ART Sync, Scrum of Scrums, and dependency coordination; System Demos, Inspect & Adapt, and continuous improvement activities; ROAM risk management, impediment escalation, and cross-team issue resolution; Release planning, capability synchronization, and enterprise delivery visibility Strong hands-on experience using Jira and Confluence to configure workflows, dashboards, roadmaps, backlogs, dependencies, reporting, and program-level delivery views supporting SAFe execution. Applied knowledge of SAFe Lean-Agile principles, ART execution, backlog hierarchy, capabilities and features, WSJF or comparable prioritization, flow metrics, and value delivery. Working knowledge of systems integration, systems engineering, software development, cloud, cybersecurity, DevSecOps, CI/CD, test, and operational mission environments. Experience coordinating cross-functional and multi-organizational technical teams where execution depends on influence, integration, and stakeholder alignment rather than direct authority. Strong understanding of dependency management, release coordination, schedule integration, milestone tracking, delivery synchronization, execution risk, and alignment between Agile plans and program schedules. Strong analytical, organizational, facilitation, leadership, communication, and stakeholder management skills in classified, mission-critical, fast-paced environments. Desired Qualifications Experience supporting operational Command and Control (C2), space mission systems, mission systems integration, or cloud-native operational environments within DoD or the Intelligence Community. Experience with Jira Advanced Roadmaps, Jira Align, Structure, BigPicture, Tempo, or equivalent enterprise Agile planning and portfolio management tools. Experience serving as a Release Train Engineer (RTE), Senior Scrum Master, Agile Program Lead, or comparable SAFe program-level integration role supporting one or more ARTs. Experience integrating SAFe execution with DevSecOps pipelines, CI/CD, software factories, cloud-native delivery, systems engineering, and operational integration. Experience supporting operational readiness reviews, MVP releases, system demonstrations, mission rehearsals, operational acceptance, or IOC demonstrations. SAFe Release Train Engineer (RTE), SAFe Agilist, SAFe Scrum Master, SAFe Practice Consultant (SPC), PMP, PMI-ACP, or equivalent certification preferred. Experience supporting executive-level reporting, Government stakeholders, U.S. Space Force or Space Systems Command organizations, or multi-contractor defense programs preferred. $150,000-$210,000 salary + annual bonus eligibility + medical/dental/vision/STD/LTD/Life + 401(k) + PTO Equal Employment Opportunity / Legal Disclaimer? GXM Technologies LLC is an Equal Opportunity Employer and participates in E-Verify to confirm employment eligibility. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity, national origin, age, disability, genetic information, veteran status, or any other legally protected status. GXM Technologies LLC provides reasonable accommodations in accordance with applicable law. This job description is not intended to be a complete list of duties and responsibilities, which may change at any time with or without notice. Employment is at-will where permitted by law, meaning either the employee or the Company may terminate employment at any time, with or without cause or notice, subject to applicable legal requirements.? PId3db67961ac9-6984

Job Description Job Description Experience: 5 + Years AI Engineer Job Summary: We are seeking an innovative and highly skilled AI Engineer to join our dynamic team. The ideal candidate will bridge the gap between traditional software engineering and cutting-edge artificial intelligence. You will be instrumental in designing, building, and deploying advanced AI agents, working closely with Large Language Models (LLMs), and driving automated code generation initiatives. If you have a strong foundation in Java and Python, coupled with hands-on experience using Google's AI tools, we want you to help us build the next generation of intelligent applications. Key Responsibilities: AI Agent Development: Design, build, and deploy autonomous AI agents capable of reasoning, planning, and executing complex workflows. LLM Integration: Integrate cutting-edge Large Language Models (LLMs) into our core products and services to enhance functionality and user experience. Model Context Protocol (MCP) Implementation: Utilize the Model Context Protocol (MCP) to securely connect our AI models to various data sources, tools, and development environments. Automated Code Generation: Leverage AI and LLMs to build systems that assist in, or fully automate, code generation, testing, and optimization processes. System Engineering: Write clean, scalable, and maintainable code in both Java and Python to support AI backend infrastructure. Google Ecosystem Integration: Utilize Google ADK (AI Developer Kits) and related Google Cloud AI services (e.g., Vertex AI, Gemini APIs) to deploy robust AI solutions. Cross-Functional Collaboration: Work closely with product managers, data scientists, and frontend engineers to translate business requirements into technical AI solutions. Must-Have Qualifications: Programming Languages: Strong proficiency in both Java and Python, with a proven track record of building production-grade software. Google AI Tools: Hands-on experience with Google ADK (or equivalent Google Cloud AI/Vertex AI tools). LLM Expertise: Deep comfort level and practical experience working with Large Language Models (prompt engineering, fine-tuning, RAG architectures). Agentic Workflows: Demonstrable experience in building and orchestrating AI Agents (using frameworks like LangChain, LangGraph, or custom implementations). MCP Knowledge: Familiarity and practical experience with the Model Context Protocol (MCP) for standardizing AI interactions with external tools. Code Generation: Experience in leveraging AI tools or building pipelines specifically for code generation and software automation. Good-to-Have (Optional but highly valued): Experience with modern robust backend frameworks (e.g., Spring Boot for Java, FastAPI for Python). Familiarity with containerization and orchestration (Docker, Kubernetes). Experience with vector databases (e.g., Pinecone, Weaviate, Milvus).

Job Description Job Description About the Company : Sungrow North America is a leading provider of renewable energy solutions, specializing in the development and manufacturing of photovoltaic inverters and energy storage systems. The company offers a comprehensive range of products and services designed to optimize the performance and efficiency of solar power installations. Sungrow North America aims to provide sustainable and reliable energy solutions to meet the growing demand for clean power and is known for its commitment to innovation, high-quality standards, and exceptional customer service. Security Engineer - Network & Identity: The Security Engineer (Network & Identity) is a hands-on engineering role within the IT team responsible for designing, implementing, securing, and automating Sungrow USA's network security, PKI and certificate management, and identity & access infrastructure across on-premises, cloud, and SaaS environments. This role serves as the technical owner for network security architecture, cryptographic services, certificate lifecycle management, authentication, and access controls. The position focuses on Zero Trust security, network segmentation, certificate-based authentication, and identity protection to reduce organizational risk and enable secure business operations and platform ownership rather than SOC operations, threat monitoring, or incident response. Essential Duties and Responsibilities: Network Security Design, implement, and maintain secure enterprise network architectures across corporate offices, data centers, cloud platforms, and remote workforce environments. Architect network segmentation, Zero Trust access controls, and secure connectivity standards using Fortinet and Zscaler security solutions. Develop and maintain Zero Trust architectures across network, identity, endpoint, application, and cloud environments. Design and administer secure remote access using Zscaler Private Access, VPN technologies, and identity-aware access controls. Manage firewall policies, network security controls, routing security, DNS security, and hybrid-cloud connectivity. Design and support Network Access Control architectures using IEEE 802.1X, RADIUS, and certificate-based authentication. Assess network security posture, develop remediation plans, and drive continuous security improvements. Cryptography, PKI & Certificate Management Own the enterprise PKI, cryptography, and certificate lifecycle management architecture, standards, and governance program. Design and manage certificate-based authentication and machine identity solutions for users, devices, servers, applications, cloud workloads, and network infrastructure across Azure, AWS, and hybrid environments. Implement and maintain certificate lifecycle automation using Microsoft Cloud PKI, Keyfactor, CyberArk Certificate Manager, EJBCA, DigiCert, AppViewX, or comparable platforms. Manage certificate issuance, enrollment, discovery, deployment, monitoring, renewal, revocation, auditing, and compliance across the enterprise. Design and support cryptographic services and certificate-based security controls, including TLS/mTLS, code signing, PKI trust hierarchies, certificate-based authentication, SCEP, PKCS, and machine identities. Establish PKI and cryptographic standards, key management practices, and security controls to support Zero Trust, regulatory compliance, and enterprise security requirements. Troubleshoot and resolve complex certificate, cryptographic, trust chain, authentication, and secure communications issues across enterprise systems and applications. Identity & Access Define authentication and authorization standards for workforce, partner, application, service, and machine identities. Design, implement, and maintain Microsoft Entra ID architecture, tenant governance, and identity security controls. Develop, test, and enforce Conditional Access policies and Zero Trust access controls. Implement and maintain MFA, passwordless authentication, phishing-resistant authentication, and Microsoft Entra ID Protection capabilities. Design and support enterprise SSO and federation integrations using SAML, OAuth 2.0, OpenID Connect, and SCIM. Implement least-privilege and risk-based access models across enterprise platforms. Administer RBAC, administrative separation, Microsoft Entra Privileged Identity Management, and least-privilege access controls. Govern application registrations, service principals, enterprise applications, API permissions, and managed identities. Support B2B collaboration, guest-user governance, external workforce access, and third-party identity integrations. Design and implement security controls across Microsoft Azure and AWS environments. Apply least privilege, RBAC, encryption, secrets management, and secure configuration standards to on-prem and cloud resources. Automate identity provisioning and deprovisioning, access governance, certificate management, configuration validation, and security operations. Create reusable secure-by-default templates and reduce manual administration through automation and orchestration Conduct access reviews, entitlement certifications, and identity governance activities. Education or Desired License and Certificates: Bachelor's degree in Computer Science, Information Technology, Cybersecurity, Engineering, or a related field, or equivalent professional experience. Microsoft Certified: Identity and Access Administrator Associate (SC-300) preferred. Microsoft Certified: Azure Security Engineer Associate (AZ-500) preferred. CCNA, Fortinet, Zscaler, AWS Security, CISSP, CISM, Terraform, or relevant PKI certification preferred Preferred Experience & Qualifications: 5+ years of experience in security engineering, identity & access management (IAM), network security, cloud security, or a related enterprise IT discipline. Hands-on experience with Microsoft Entra ID, including Conditional Access, MFA, SSO, Identity Protection, PIM, RBAC, identity governance, and modern authentication protocols (SAML, OAuth, OpenID Connect, SCIM). Experience designing, implementing, and securing enterprise identity, privileged access, and machine identity solutions across hybrid and multi-cloud environments. Hands-on experience with Fortinet, Zscaler (ZIA/ZPA), Zero Trust architectures, least-privilege access models, and network security controls. Experience designing and operating enterprise PKI, certificate lifecycle management, certificate-based authentication, and machine identity platforms such as Keyfactor, DigiCert, EJBCA, AppViewX, CyberArk Certificate Manager, or similar solutions. Experience securing Azure and AWS environments, including identity, networking, encryption, secrets management, logging, and security monitoring. Experience with PAM and IGA platforms such as CyberArk, Delinea, BeyondTrust, SailPoint, Saviynt, or similar technologies. Experience integrating identity, network, cloud, and security telemetry with SIEM and security operations platforms. Strong automation and Infrastructure as Code skills using PowerShell, Python, Microsoft Graph API, REST APIs, Terraform, or similar technologies. Strong troubleshooting skills across authentication, federation, certificates, PKI, network security, cloud access, application integrations, and enterprise identity services. Knowledge of cybersecurity and compliance frameworks including SOC 2, ISO/IEC 27001, NIST CSF, NIST 800-63, CIS Controls, Zero Trust, and NERC CIP. Competencies: Mandarin fluency preferred but not required. Strong analytical, troubleshooting, and problem-solving skills. Ability to work independently and collaboratively in a fast-paced environment. Excellent communication, stakeholder management, and technical documentation skills. Strong organization, attention to detail, initiative, and ownership. Ability to balance security, reliability, usability, scalability, and business requirements. Proactive approach to automation, standardization, and continuous improvement. Travel 5%-20% Work Location and Status: Full time, Hybrid at any Sungrow USA office in Phoenix, Costa Mesa, or Houston No visa sponsorship Compensation: Compensation commensurate with experience Competitive salary and annual bonus eligibility Comprehensive benefits package including health, dental, vision, and retirement plans Strong personal and company growth opportunities Sungrow is an equal opportunity employer. Due to strong interest in this position, Sungrow will only reach out to those candidates who best meet the requirements. Thank you for your interest in Sungrow.

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

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

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

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

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

AI Engineer 3 (AI Foundations) 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. Lead development and benchmarking of multi-turn conversational and tool-using agent workflows, ensuring measurable performance and safety metrics Implement scalable pipelines for training, fine-tuning and deploying foundation or domain-specific models across multiple environments Collaborate with research and data engineering teams to curate high-quality datasets and improve model evaluation methodologies Contribute to governance and security efforts for model traceability, lineage documentation, and version control of deployed AI assets Mentor junior AI engineers and advocate for engineering excellence, reproducibility, and responsible experimentation 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 3 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 1 year of experience developing AI and ML algorithms or technologies At least 3 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience contributing to development of components of AI systems with tradeoff decisions around cost, latency, throughput and accuracy 4 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, 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 Demonstrated ability to evaluate and optimize LLM performance using quantitative metrics (accuracy, coherence, latency, cost) Hands-on experience implementing retrieval-augmented generation (RAG), vector database integrations, and fine-tuning workflows Experience applying prompt-engineering strategies, safety guardrails, and red-teaming methodologies to production AI systems Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $161,800 - $184,600 for AI Engineer 3 McLean, VA: $161,800 - $184,600 for AI Engineer 3 New York, NY: $176,500 - $201,400 for AI Engineer 3 San Jose, CA: $176,500 - $201,400 for AI Engineer 3 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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