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COME JOIN MID-CONTINENT! "Where your work is valued-above-market pay, real work-life balance, and a team that feels like home." THE POSITION As a Software Engineer, you will provide engineering and technical support in the evaluation and testing of existing and emerging technologies, systems, and capabilities. You will design avionics, power electronics, and battery systems with an emphasis on AHRS and INS products using the latest advances in sensor technologies. You'll create unique intellectual property to address the growing demand for software-defined behavior. You can expect a variety of opportunities ranging from products for cockpit displays, instruments and navigational references based on local and remote sensor inputs. Additional products include data conversion and storage, lithium battery management, AC and DC power conversion, and in-seat power solutions. THIS POSITION MAY BE FOR YOU IF You have a bachelor's degree in computer engineering or related field. You have a minimum of 10 years of experience designing embedded software in the U.S. You have a minimum of 5 years of experience as principal designer for AHRS and INS solutions. You have a minimum of 5 years of experience characterizing and calibrating inertial sensor devices. You have the ability to work directly with target hardware, including lab bench equipment, other tools for debugging and analysis. You have proficiency programming in C. You are proficient with Microsoft Office. You have strong attention to detail. You are organized, focused, and results oriented. You are a problem-solver with critical thinking and prioritizing skills. You have excellent verbal, written and interpersonal communication skills. WE WOULD REALLY LIKE IT IF (but it's not a deal breaker) You have experience with C#, C++, or Python languages for PC application software. You have experience with VHDL. You have experience designing safety-critical software, utilizing RTCA DO-178, DO-254 or similar processes. You have experience designing or troubleshooting PCB system hardware. You have experience with Design for Manufacture and Design for Test (DFM & DFT). WHAT YOU CAN EXPECT FROM ONE DAY TO THE NEXT Design and implement embedded C software for bare-metal microcontroller-based systems with an option for VHDL firmware for FPGA-based systems Architect and implement ARHS and INS products utilizing MEMS, FOG or other commercially available technologies Design tools to support manufacturing, calibration and verification of safety-critical products Build and troubleshoot hardware, including basic soldering, operation of test equipment, and daily work in both office and test lab environments Prototype and execute test programs to verify compliance with applicable performance, regulatory, and quality requirements WE ARE ONE OF THE BEST PLACES TO WORK We provide above-market pay and a comprehensive benefits package. We promote an environment where you can excel in your career while maintaining a healthy work-life balance. Our facility is climate controlled, clean, organized, and safe. We operate in a professional, light manufacturing environment. We believe anything worth doing is worth doing right - every time. We have frequent events to keep work interesting. Our food drive is super impressive, we have an annual food truck fest appreciation day, monthly fruit/donut day, employee luncheons throughout the year, wellness challenges with incentives and frequent ticket raffles for local sporting and cultural events. We have a small company feel - even though we're doing big things! WHO WE ARE Founded in 1964, Mid-Continent Instruments and Avionics provides superior instruments, avionics and power solutions to the global aerospace community. We operate one of the largest maintenance, overhaul and exchange programs in the world, and deliver safe and certified products, using innovative technologies and sophisticated clean sheet designs. At Mid-Continent Instruments and Avionics, we are committed to quality, service, integrity, and professionalism. Our employees serve the best customers from all over the world in general, business and commercial, advanced air mobility, defense and special missions markets. In this role, you'll be an important part of the reason our customers consider us a premier instrument, avionics, and aircraft power solutions provider. This job description is intended to describe the general nature and level of work performed and is not intended to be an exhaustive list of all responsibilities, duties and skills required. Actual compensation offered within the targeted salary range will be determined by factors such as job-related knowledge, skills, and experience. Compensation details: 00 Yearly Salary PI299b141f47f7-5469

Job DescriptionJob Description About the Job HIPER Global US is looking for an ambitious, customer-focused Program Manager to take ownership of key customer programs and build a career in program management. Principal Responsibilities Program Ownership: Lead multiple customer programs throughout their entire lifecycle-from initial onboarding through New Product Introduction (NPI) engineering, production and ongoing customer support. Cross-Functional Execution: Bring together Engineering, Operations, Purchasing, Production, and Sales to translate customer requirements into clear priorities and actions. Client Relationship Management: Serve as the primary point of contact for customer accounts, leading recurring progress reviews, tracking schedules and milestones, managing expectations, and creatively driving continuous improvement. Schedule & Risk Management: Monitor program milestones, anticipate delivery risk or technical bottlenecks, and drive proactive solutions to keep deliveries on track. NPI & Engineering Alignment: Partner with NPI engineering as configurations, components, and customer specifications evolve. Business Reviews & Reporting: Prepare program health updates, margin tracking, and operational presentations for leadership and external stakeholders. What We're Looking For 3-5 years of professional experience in project management, program coordination, customer-facing roles, operations, supply chain, engineering support, or a related field Experience coordinating projects, priorities, customers, or cross-functional activities Exemplary verbal and written communication skills Highly organized, with the ability to manage multiple priorities and maintain attention to detail A proactive approach to problem solving and a strong sense of ownership A strong ability to bring people together, establish alignment, and drive action without direct authority Comfortable working with both technical and non-technical colleagues and customers Curious about technology and motivated to develop a strong understanding of our products and customers Strong proficiency with Microsoft Excel, Word, and PowerPoint Bachelor's degree in a related field preferred Experience with computing hardware, embedded systems, manufacturing, or other technical products is a plus Familiarity with operating Enterprise Resource Planning (ERP) tools (Epicor, NetSuite, SAP) is a plus U.S. Citizenship or Permanent Residency in the U.S. is required due to federal government/military contract requirements Who You Are You're ready for more ownership. This hands-on role is built for an ambitious professional looking to step beyond project support and take full accountability for program execution, client relationship management, and delivery of cross-functional outcomes. Proven Foundation: You have a few years of experience supporting projects, operations, or technical teams and are eager to own full program lifecycles from start to finish. You don't need to have held the title of "Program Manager." We value organization, judgment, and problem-solving instincts over formal titles. A Problem Solver: You bring structure to complex situations, proactively figure out what needs to happen next, and unblock stalled initiatives. Influencing Without Authority: You communicate clearly, follow through, and get results across cross-functional teams using persistence, clarity, and trust. You're a relationship builder who can maintain high levels of trust with internal and external audiences. Curious & Growth-Minded: You aren't afraid to ask questions, learn custom hardware tech on the fly, and build your skills by managing increasingly complex programs. Benefits & Perks We believe in investing in our team's well-being, professional growth, and long-term success. Your total compensation package is designed to support you both inside and outside the workplace: Financial Security: Competitive base salary, 401(k) retirement plan, and an attractive quarterly bonus program. Comprehensive Health: Full suite of medical, dental, and vision coverage to keep you and your family protected. Peace of Mind: Life insurance provided at no cost to you, alongside comprehensive options for private MAPFML, Long-Term Disability (LTD), critical illness, and accident insurance. Work-Life Harmony: 12 paid company holidays, plus generous PTO and sick time policies to ensure you have the time you need to recharge. Employee Support & Community: Access to our Employee Assistance Program (EAP) and frequent opportunities to connect, including company-sponsored holiday parties, summer outings, and seasonal team events. Daily Office Perks: Stay energized with free, freshly brewed coffee available daily. About HIPER Global US HIPER Global US is a global leader in providing application-specific computing solutions. We offer a full range of world-class hardware platforms, both off-the-shelf and custom-built. Our value-added services include design, turnkey manufacturing, custom rugged solutions, logistics, and support, allowing our customers to focus on their core competencies and meet critical product scheduling requirements. Company Description HIPER Global US is a global leader in providing application-specific computing solutions. We offer a full range of world-class hardware platforms, both off-the-shelf and custom-built. Our value-add services include design, turnkey manufacturing, custom rugged, logistics, and support which allow our customers to focus on their core competencies and meet product scheduling deadlines. Company DescriptionHIPER Global US is a global leader in providing application-specific computing solutions. We offer a full range of world-class hardware platforms, both off-the-shelf and custom-built. Our value-add services include design, turnkey manufacturing, custom rugged, logistics, and support which allow our customers to focus on their core competencies and meet product scheduling deadlines.

Job DescriptionJob Description About the Job HIPER Global US is looking for an ambitious, customer-focused Program Manager to take ownership of key customer programs and build a career in program management. Principal Responsibilities Program Ownership: Lead multiple customer programs throughout their entire lifecycle-from initial onboarding through New Product Introduction (NPI) engineering, production and ongoing customer support. Cross-Functional Execution: Bring together Engineering, Operations, Purchasing, Production, and Sales to translate customer requirements into clear priorities and actions. Client Relationship Management: Serve as the primary point of contact for customer accounts, leading recurring progress reviews, tracking schedules and milestones, managing expectations, and creatively driving continuous improvement. Schedule & Risk Management: Monitor program milestones, anticipate delivery risk or technical bottlenecks, and drive proactive solutions to keep deliveries on track. NPI & Engineering Alignment: Partner with NPI engineering as configurations, components, and customer specifications evolve. Business Reviews & Reporting: Prepare program health updates, margin tracking, and operational presentations for leadership and external stakeholders. What We're Looking For 3-5 years of professional experience in project management, program coordination, customer-facing roles, operations, supply chain, engineering support, or a related field Experience coordinating projects, priorities, customers, or cross-functional activities Exemplary verbal and written communication skills Highly organized, with the ability to manage multiple priorities and maintain attention to detail A proactive approach to problem solving and a strong sense of ownership A strong ability to bring people together, establish alignment, and drive action without direct authority Comfortable working with both technical and non-technical colleagues and customers Curious about technology and motivated to develop a strong understanding of our products and customers Strong proficiency with Microsoft Excel, Word, and PowerPoint Bachelor's degree in a related field preferred Experience with computing hardware, embedded systems, manufacturing, or other technical products is a plus Familiarity with operating Enterprise Resource Planning (ERP) tools (Epicor, NetSuite, SAP) is a plus U.S. Citizenship or Permanent Residency in the U.S. is required due to federal government/military contract requirements Who You Are You're ready for more ownership. This hands-on role is built for an ambitious professional looking to step beyond project support and take full accountability for program execution, client relationship management, and delivery of cross-functional outcomes. Proven Foundation: You have a few years of experience supporting projects, operations, or technical teams and are eager to own full program lifecycles from start to finish. You don't need to have held the title of "Program Manager." We value organization, judgment, and problem-solving instincts over formal titles. A Problem Solver: You bring structure to complex situations, proactively figure out what needs to happen next, and unblock stalled initiatives. Influencing Without Authority: You communicate clearly, follow through, and get results across cross-functional teams using persistence, clarity, and trust. You're a relationship builder who can maintain high levels of trust with internal and external audiences. Curious & Growth-Minded: You aren't afraid to ask questions, learn custom hardware tech on the fly, and build your skills by managing increasingly complex programs. Benefits & Perks We believe in investing in our team's well-being, professional growth, and long-term success. Your total compensation package is designed to support you both inside and outside the workplace: Financial Security: Competitive base salary, 401(k) retirement plan, and an attractive quarterly bonus program. Comprehensive Health: Full suite of medical, dental, and vision coverage to keep you and your family protected. Peace of Mind: Life insurance provided at no cost to you, alongside comprehensive options for private MAPFML, Long-Term Disability (LTD), critical illness, and accident insurance. Work-Life Harmony: 12 paid company holidays, plus generous PTO and sick time policies to ensure you have the time you need to recharge. Employee Support & Community: Access to our Employee Assistance Program (EAP) and frequent opportunities to connect, including company-sponsored holiday parties, summer outings, and seasonal team events. Daily Office Perks: Stay energized with free, freshly brewed coffee available daily. About HIPER Global US HIPER Global US is a global leader in providing application-specific computing solutions. We offer a full range of world-class hardware platforms, both off-the-shelf and custom-built. Our value-added services include design, turnkey manufacturing, custom rugged solutions, logistics, and support, allowing our customers to focus on their core competencies and meet critical product scheduling requirements. Company Description HIPER Global US is a global leader in providing application-specific computing solutions. We offer a full range of world-class hardware platforms, both off-the-shelf and custom-built. Our value-add services include design, turnkey manufacturing, custom rugged, logistics, and support which allow our customers to focus on their core competencies and meet product scheduling deadlines. Company DescriptionHIPER Global US is a global leader in providing application-specific computing solutions. We offer a full range of world-class hardware platforms, both off-the-shelf and custom-built. Our value-add services include design, turnkey manufacturing, custom rugged, logistics, and support which allow our customers to focus on their core competencies and meet product scheduling deadlines.

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 5McLean, VA: $229,900 - $262,400 for AI Engineer 5New York, NY: $250,800 - $286,200 for AI Engineer 5San 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

Energy is the binding constraint on human progress. Solar and storage are the lowest cost sources of new generation, but the conventional project delivery model has not changed in 30 years and deployment cannot keep pace with demand. Planted is turning power plants from projects into products. Our software turns raw land into a build-ready power plant in minutes instead of months. Our hardware delivers twice the energy on every acre. Our robots put steel in the ground so output scales with production lines instead of headcount. We're looking for a technical leader to build and scale the software organization at the center of that transition - from the autonomy stack running on our robots to the AI systems that will make deployment even faster. You will own the architecture, roadmap, and team driving Planted's next phase of growth. We don't wait for abundance. We build it. About The Role Software is both the brains of our machines and the connective tissue of Planted operations. You will lead and grow a software organization spanning three domains: autonomous robotic vehicle software, our suite of web-based power plant design, build, and operate tools, and an emerging portfolio of AI agents that automate engineering, estimation, and operations workflows. We are looking for a pragmatic technical leader with a track record of building high-performing, multi-disciplinary software teams. You must be deep enough technically to drive key architectural decisions across the vertically integrated platform, and strategic enough to drive and execute on the product roadmap. You have systems literacy (e.g., how data moves from a robot's camera into an ML pipeline) and prioritize delivery mechanics over heavy-handed project management. Our robots are building projects in the field today and our design software is in front of customers. Your mandate is to scale the product and the team to support our current 10x year over year growth in megawatts deployed. The Team: You will join a group at the intersection of deep tech and massive physical infrastructure. Our engineering core brings robotics and automation DNA from SpaceX and Tesla, working directly alongside veteran energy developers. We are led by repeat founders with a successful prior exit (Cogenra to SunPower). Planted is backed by leading investors in energy and Physical AI, including Breakthrough Energy Ventures, Khosla Ventures, and Piva Capital. The annual salary range for this full-time position is $275,000-$325,000 plus a meaningful equity stake and benefits. Pay within the range is based on candidate experience, job-specific skills, and education. The target experience for the position is 10-15+ years. We work together in person 5 days/week at our HQ in Oakland, CA. KEY RESPONSIBILITIES Organizational Leadership & Talent Development: Build, scale, and mentor a high-performing, multi-level software organization, including direct management of engineering managers, principal engineers, and system architects. Foster a culture of technical excellence, accountability, and continuous growth. Recruit and retain top-tier software talent across cloud, spatial/CAD, embedded, and robotics domains while allowing technical experts to own the architecture. Strategic Execution & Stakeholder Management : Own the software roadmap and drive the predictable, on-time delivery of complex, multi-system software projects across multiple products. Set clear expectations, communicate progress, and align software deliverables. Collaborate seamlessly with the Commercial team, Hardware Engineering, and Project Operations. Make the build-vs-buy, stack, and platform decisions that will hold up at 100x scale. Software Product Suite Ownership: Lead development across our core platforms: Power Planter (automated layout, engineering, and costing), Build View (autonomous fleet management, field deployment, and QA/QC), and Operate View (inspection, operations, and maintenance tools for large-scale solar plants). Autonomous Robotic Vehicle Platforms: Lead the engineering teams deploying the full software stack across our autonomous field machine fleet (fleet logic, behavior trees, and path planning, modern and classical controls, ROS2, etc.). Data Flywheel: We operate our field machines like modern manufacturing lines. You will own the telemetry and data infrastructure that monitors production with statistical process control and turns every installation into training data for better models and improved machine productivity. AI Systems: Build the team and roadmap for AI agents that automate design, estimation, project delivery, and operations workflows, grounded in the data our robots and projects generate. QUALIFICATIONS 10 to 15+ years of software engineering experience, including 5+ years leading engineering teams (senior ICs and managers) shipping production systems. Deep expertise in full stack software development involving hardware and software integration like robotics, IoT, or industrial automation. Track record shipping robotics, autonomous vehicles, or hardtech software into the field at scale-with a strong focus on fleet reliability, continuous testing, and real-time observability. Broad leadership capability across platform/full-stack teams, cloud infrastructure, data systems, or applied AI/ML groups outside your core specialty. Systems architecture judgment with strong understanding of how technologies work together (e.g., middleware, pub/sub architectures, web services, and ML pipelines). You do not need to write the C++ on the robot, but you must understand edge compute, latency, and hardware-in-the-loop testing. PREFERRED QUALIFICATIONS Field robotics : Experience in construction, agriculture, mining, defense, logistics, or autonomous vehicles operating off-pavement (e.g., Waymo, Cruise, Bedrock Automation). DevOps & Delivery: Strong understanding of modern software deployment and containerization (Docker). Experience with CI/CD, release pipelines, and edge deployment strategies, focusing on how code reliably gets to the machine. Agentic and AI-Augmented Software Engineering: Experience building, rebuilding, and managing AI-integrated software development platforms and teams. Robotics & Controls: Familiarity with the complexities of deploying field-robotics software (e.g., ROS2, vehicle navigation, and autonomy stacks). You understand the unique delivery challenges of robotics compared to traditional software. Perception & Sensing: Experience with LiDAR, stereoscopic/IR cameras, object detection, spatial mapping, and SLAM in dynamic outdoor environments. Strong understanding of middleware, pub/sub architectures alongside web services, backend technologies, and ML pipelines. Spatial / CAD Expertise: Deep understanding of software platforms working with geospatial data (GIS, CAD engines, 3D modeling, or automated parametric design). Industrial Operations: Exposure to automated manufacturing execution systems (MES) managing statistical process control, telemetry monitoring, or fleet analytics in hardtech, renewable energy environments, or advanced manufacturing. What We Offer 11 paid company holidays and flexible Paid Time Off (PTO) Company-paid in-office lunches Stock options Medical, vision, dental, and other benefits Pre-tax commuter benefits 401(k) A chance to have an empowered, meaningful, and early role in climate How This Is A Fit You want to solve challenging problems You are biased towards action and focus on the vital work that drives the most impact You prioritize the physical and psychological safety of yourself and those around you You are humble, embrace change, and deliver and receive candid feedback You are optimistic about the future and can make tough decisions to help get there You have high expectations and coach, develop, and make time to help others Planted is an equal opportunity employer committed to growing inclusively, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, medical condition, age, or veteran status. However you identify, or whatever background you bring with you, please apply. We look forward to hearing from you.

Karman is a fast-growing NVIDIA-backed AI company enabling AI data centers to dynamically orchestrate power and unlock more compute capacity from existing energy infrastructure. For over a decade, we have applied AI to the electric grid - bringing real-time visibility and power-flow control to complex energy infrastructure. Our Karman platform, built on a custom NVIDIA module, brings that same capability to AI data centers, giving operators a way to better use the power already available to them. We are building the Karman Digital Environment (KDE), a simulation platform that will evolve how Karman is developed, verified, and brought to market. Today, Karman is developed and verified against shared physical systems, including custom NVIDIA-based edge compute units that process sub-millisecond power waveform data and issue real-time control signals to GPU infrastructure. This is a hardware constraint that limits how fast teams can iterate. KDE will remove that constraint, enabling simulation-driven development at scale across every layer of fidelity, from rapid experimentation to high-confidence system validation. This is a technical leadership role reporting to the VP, AI & Applications, with company-wide impact across architecture, product, and customer-facing teams. Responsibilities Own the end-to-end architecture of KDE as the simulation platform for developing, testing, and validating Karman before production deployment. Architect systems spanning heterogeneous time domains - from sub-millisecond control paths to system-level orchestration - with coherent time management and deterministic behavior across both. Design and evolve the core simulation platform: time synchronization across paced (real-time SIL) and unpaced (batch) execution modes, signal routing and data flow orchestration, deterministic replay and scenario execution, and the platform APIs and data contracts consumed by algorithm, QA, product, and GTM teams. Define and maintain the platform's performance envelope - latency, jitter, throughput, and fidelity - and lead optimization across the full stack. Serve as the technical authority for simulation and validation methodology, partnering with algorithm, QA, product, hardware, firmware, and GTM teams to align platform capabilities with real-world Karman deployments. Build and lead an engineering team spanning real-time systems, simulation infrastructure, power systems modeling, and GPU calibration, while remaining deeply hands-on in architecture and critical technical decisions. Represent KDE on a standing cross-functional council with Algorithms, Product, GTM, and QA, arbitrating priorities across the platform's customers and maintaining architectural direction with senior peers. Minimum Qualifications Bachelor's or advanced degree in Electrical Engineering, Computer Engineering, Computer Science, Robotics, Physics, or a related field 10+ years in systems architecture, simulation platforms, real-time or hardware-in-the-loop systems, embedded systems, or high-performance distributed platforms Experience as a hands-on player-coach leading small, high-performing engineering teams A proven track record designing and delivering simulation platforms or large-scale test systems that other engineering teams treat as production hardware, including data ingestion, telemetry, and playback at production scale, and the ability to design platform APIs and data contracts used by multiple teams Deep expertise in system-level behavior - scheduling, concurrency, memory access patterns, latency budgets, jitter measurement, and determinism at sub-millisecond scale Substantive fluency in the physics of the simulated domain - for this role, AC power distribution, control-loop dynamics, and electrical protection systems - is sufficient to make architectural decisions independently. Candidates from adjacent domains (automotive powertrain, aerospace propulsion, grid simulation, robotics dynamics) who've reached comparable depth will also be considered Experience leading or contributing to a novel modeling problem in the platform's domain Strong communication skills, with the ability to translate complex system designs for technical and non-technical stakeholders alike Willingness to travel up to 25% of time Enhanced Qualifications (Nice to Have) Experience with GPU-based systems or other accelerators, including power and performance tradeoffs Experience in data center power infrastructure or hyperscaler energy-aware computing Familiarity with AI inference serving systems (vLLM, TensorRT-LLM, Triton) sufficient to reason about workload-driven power dynamics Salary Range: $200,000 to $240,000 base compensation depending on experience and level, plus stock options. This role spans multiple job levels; final level and compensation will be determined based on the candidate's experience. Location: This position can be performed remotely from within the United States. Preference will be given to candidates based in or around the Bay Area (CA) or Ann Arbor, MI. Periodic travel to the company's HQ in Ann Arbor, MI is required. Our Commitments: Karman values the diversity of our team. We provide equal employment opportunities without regard to race, color, religion, creed, sex, gender, sexual orientation, gender identity or expression, national origin, age, physical disability, mental disability, medical condition, pregnancy or childbirth, sexual orientation, genetics, genetic information, marital status, or status as a covered veteran or any other basis protected by applicable federal, state and local laws. We are committed to: Creating a diverse and inclusive workplace that is welcoming, supportive, affirming and respectful Empowering employees to solve problems and work together to make a difference Providing mentorship and growth opportunities as part of a collaborative team A flexible work environment with flexible paid time off Competitive compensation and benefits, including health, dental, vision, and employer-match 401k

Karman is a fast-growing NVIDIA-backed AI company enabling AI data centers to dynamically orchestrate power and unlock more compute capacity from existing energy infrastructure. For over a decade, we have applied AI to the electric grid - bringing real-time visibility and power-flow control to complex energy infrastructure. Our Karman platform, built on a custom NVIDIA module, brings that same capability to AI data centers, giving operators a way to better use the power already available to them. The VP, AI & Applications leads the intelligence layer of Karman - the algorithms, control methods, and optimization techniques that turn microsecond-resolution measurement data into closed-loop control actions and quantifiable customer value. Reporting to the Chief Technology Officer, this role owns how Karman creates value across the data center power system: the internal power distribution system, the utility connection, and ancillary loads and generation including cooling, capacitor shelves, and on-site solar plus battery. The VP partners with the VP, Engineering on the platform that runs these methods in production, and with VP, Product on how value is packaged and delivered to customers. Responsibilities Lead and set technical direction for the team responsible for Karman's algorithms, control methods, optimization, and applied research - including power flow control and closed-loop adaptive control - through direct management of a Director and Principal-level individual contributors Drive technical co-development with strategic technology partners across hardware, firmware, and commercial tracks, and provide customer-facing technical leadership, working with GTM and Product Develop and manage release plans for algorithms and applications work, with clear engineering direction, validation strategy, and tracking against committed product capabilities Partner with the VP, Engineering to ensure algorithms and control methods are designed for production deployment on the Karman software and hardware platform Stay hands-on early in the role and scale toward leader-of-leaders as the team grows Collaborate with the People Team to attract, onboard, and retain top talent in algorithms, applied AI, and control systems Optimize resource allocation, budgeting, and timelines for team effectiveness Develop and report on success metrics that measure the team's contribution to organizational objectives Minimum Qualifications 10-15+ years of professional experience leading teams that develop algorithms, control systems, optimization methods, or applied AI in production Deep technical background in one or more of: control theory, power systems, optimization, applied machine learning, or signal processing Demonstrated experience in algorithms and decision-making paradigms with edge AI tools, including control systems that run offline or isolated for extended periods Track record of developing leaders and growing the careers of senior engineers and researchers; sees mentorship and team development as a core measure of personal impact Demonstrated ability to lead a senior, technically deep team while remaining hands-on enough to shape architecture and methods directly Experience translating research and prototypes into shipped products in a startup or fast-moving environment Strong communication skills, including the ability to represent technical work credibly to executives, customers, and external technical organizations Experience with intellectual property strategy and the patent process Willingness to travel up to 20% of time Enhanced Qualifications (Nice to Have) PhD strongly preferred in Electrical Engineering, Computer Science, Control Systems, Applied Mathematics, Operations Research, or a related technical discipline Experience with energy systems, power electronics, or grid-edge applications Published research, granted patents, or recognized contributions to control systems, applied AI, or power systems Background in real-time systems, deterministic control loops, or hard real-time operating systems Experience with digital twins, hardware-in-the-loop simulation, or co-simulation environments Salary Range: $230,000 to $290,000 base compensation depending on experience plus stock options. Salary will be commensurate with an individual's skills, training, years of experience, and in line with internal compensation bands. Location: This position can be performed remotely from anywhere in the United States. Our Commitments: Karman values the diversity of our team. We provide equal employment opportunities without regard to race, color, religion, creed, sex, gender, sexual orientation, gender identity or expression, national origin, age, physical disability, mental disability, medical condition, pregnancy or childbirth, sexual orientation, genetics, genetic information, marital status, or status as a covered veteran or any other basis protected by applicable federal, state and local laws. We are committed to: Creating a diverse and inclusive workplace that is welcoming, supportive, affirming and respectful Empowering employees to solve problems and work together to make a difference Providing mentorship and growth opportunities as part of a collaborative team A flexible work environment with flexible paid time off Competitive compensation and benefits, including health, dental, vision, and employer-match 401k

Job Description Job Description Company Summary EchoStar is reimagining the future of connectivity. Our business reach spans satellite television service, live-streaming and on-demand programming, smart home installation services, mobile plans and products. Today, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV. Our DISH Technology team challenges the status quo and reimagines capabilities across industries. Whether through research and development, technology innovation or solution engineering, our team members play vital roles in connecting consumers with the products and platforms of tomorrow. Job Duties and Responsibilities The Principal Roku BrightScript Engineer joins the Client Platform Engineering team to build and maintain the foundational Roku platform powering streaming applications across a shared codebase strategy. This role addresses complex engineering challenges across SceneGraph architecture, media playback, DRM flows, and performance optimization on resource-constrained hardware. The position bridges reference implementations with production BrightScript code while establishing automated quality gates and AI-assisted software development workflows. Direct collaboration with product and engineering leadership ensures high-performance delivery across all target hardware tiers. What Success Looks Like (Objectives) Map production OTT modules to BrightScript equivalents while mitigating high-complexity risks in player state machines and DRM integration Design a scalable scene stack, deep-linking routing architecture, and thread-safe task model for high-performance application execution Enforce component library performance standards, field observer practices, and focus chain integrity across dynamic application themes Integrate BrightScript-specific linting, static analysis, and device farm benchmarking into the AI-assisted development pipeline to optimize target hardware performance Establish automated testing frameworks, deep-link automation, and headless performance benchmarks to maintain strict launch time and memory footprint targets Skills, Experience and RequirementsCore Skills and Competencies (What you'll bring) Expert-level mastery of SceneGraph node architecture, task threading, focus chain management, and component lifecycle optimization Critical experience leading architecture design, code reviews, and binding engineering decisions for multi-engineer client applications Proven ability to translate reference implementations into production BrightScript codebases while preserving behavioral fidelity across complex user flows Demonstrated capability in profiling, virtualized rendering, node recycling, and garbage collection tuning on low-memory hardware devices AI application expertise in authoring structured technical specifications and validating AI-generated BrightScript output for architectural and performance compliance Comprehensive expertise in DRM integration, CSAI/SSAI ad architecture, and third-party SDK implementations within connected TV environments Additional Qualifications Advanced degree (MS or equivalent) in Computer Science or a relevant technical field Experience in high-volume streaming media, OTT, or connected TV product environments Minimum Requirements Minimum Education: Bachelor's Degree in Computer Science, Software Engineering, or a related technical discipline Minimum Experience: 10+ years of professional software engineering experience Required Technical Skills: Must have at least 5 years of experience with: BrightScript application development and SceneGraph node architecture Shipping production Roku applications through full Roku Channel Certification Architecture ownership and technical sign-off on multi-engineer client applications Benefits We offer versatile health perks, including flexible spending accounts, HSA, a 401(k) Plan with company match, ESPP, career opportunities, and a flexible time away plan; all benefits can be viewed here: EchoStar Benefits. The base pay range shown is a guideline. Individual total compensation will vary based on factors such as qualifications, skill level, and competencies; compensation is based on the role's location and is subject to change based on work location. Candidates need to successfully complete a pre-employment screen, which may include a drug test and DMV check. Our company is committed to fostering an inclusive and equitable workplace where every individual has the opportunity to succeed. We are dedicated to providing individuals with criminal or arrest records a fair chance of employment in accordance with local, state, and federal laws. The posting will be active for a minimum of 3 days. The active posting will continue to extend by 3 days until the position is filled. We pride ourselves on developing and promoting talent as an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. EchoStar will accommodate the sincerely held religious beliefs of employees if such accommodations are not undue hardships and are otherwise within the bounds of applicable law. All qualified applicants with arrest or conviction records will be considered for employment in accordance with local, state, and federal law. You may redact any information that identifies age, date of birth, or dates of school/graduation from your application documents before submission and throughout our application process. EchoStar will provide reasonable accommodation to otherwise qualified job applicants and employees with known physical or mental disabilities, unless doing so poses an undue hardship on the Company, poses a direct threat of substantial harm to others, or is otherwise not required by law. EchoStar has a more detailed Accommodation Policy that applies to employees. EchoStar endeavors to make and jobs.accessible to users. Please contact if you would like to discuss the accessibility of our website or need assistance completing the application process. This contact information is for accommodation requests only; do not use this contact information to inquire about the status of applications. Click the links to access the following statements: EEO Policy Statement, Pay Transparency, EEOC Know Your Rights (English/Spanish)

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. We build and support advanced memory products that power next generation systems across the industry. We work closely with design, validation, and customer teams, and we love solving technical challenges together! In this role, you'll be the technical connection between customers and engineering for our DRAM portfolio, including HBM, DDR, and GDDR. You'll guide product validation, improve quality, and help customers integrate memory into complex platforms. This is a great fit for someone who enjoys hands on debug, data driven problem solving, and cross functional collaboration. Responsibilities: Validate and characterize DRAM products on system platforms and next generation processors Analyze product, yield, and performance data to improve quality and reliability Support failure analysis and document corrective actions Develop application notes, design guidance, and technical training Assist customer integration efforts, including SI/PI, timing, and system bring up Minimum Qualifications: Bachelor's degree in Electrical Engineering, Computer Engineering, or related field Experience in product engineering, applications engineering, hardware validation, or system integration Understanding of memory technologies, system architecture, or platform validation Exposure to tools such as Python, Linux, or JMP Strong problem solving and communication skills Utilize AI Agents Preferred Qualifications: Experience with DDR4, DDR5, HBM, GDDR, or similar memory technologies Familiarity with lab equipment, electrical validation, or SI/PI fundamentals Master's degree in Electrical Engineering, Computer Engineering, or related field Experience supporting customer bring up or system level debug The US base salary range that Micron Technology estimates it could pay for this full-time position is: $177,000.00 - $302,000.00 a year Additional compensation may include benefits, bonuses and equity. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target base pay for new hire salaries of the position across all US locations. Within the range, individual pay is determined by work location and additional job-related factors, including knowledge, skills, experience, tenure and relevant education or training. The pay scale is subject to change depending on business needs. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on . Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws. To learn about your right to work click here. To learn more about Micron, please visit US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron's People Organization at or 1- (select option ) Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron. AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. We build and support advanced memory products that power next generation systems across the industry. We work closely with design, validation, and customer teams, and we love solving technical challenges together! In this role, you'll be the technical connection between customers and engineering for our DRAM portfolio, including HBM, DDR, and GDDR. You'll guide product validation, improve quality, and help customers integrate memory into complex platforms. This is a great fit for someone who enjoys hands on debug, data driven problem solving, and cross functional collaboration. Responsibilities: Validate and characterize DRAM products on system platforms and next generation processors Analyze product, yield, and performance data to improve quality and reliability Support failure analysis and document corrective actions Develop application notes, design guidance, and technical training Assist customer integration efforts, including SI/PI, timing, and system bring up Minimum Qualifications: Bachelor's degree in Electrical Engineering, Computer Engineering, or related field Experience in product engineering, applications engineering, hardware validation, or system integration Understanding of memory technologies, system architecture, or platform validation Exposure to tools such as Python, Linux, or JMP Strong problem solving and communication skills Utilize AI Agents Preferred Qualifications: Experience with DDR4, DDR5, HBM, GDDR, or similar memory technologies Familiarity with lab equipment, electrical validation, or SI/PI fundamentals Master's degree in Electrical Engineering, Computer Engineering, or related field Experience supporting customer bring up or system level debug The US base salary range that Micron Technology estimates it could pay for this full-time position is: $177,000.00 - $302,000.00 a year Additional compensation may include benefits, bonuses and equity. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target base pay for new hire salaries of the position across all US locations. Within the range, individual pay is determined by work location and additional job-related factors, including knowledge, skills, experience, tenure and relevant education or training. The pay scale is subject to change depending on business needs. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on . Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws. To learn about your right to work click here. To learn more about Micron, please visit US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron's People Organization at or 1- (select option ) Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron. AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.

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 5 (LLM Gateway, FM Hosting) 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 5 (Gen AI Platform Services) 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 5 (AI Foundations, LLM Core and Agentic AI) 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 (AI Foundations, VLM Customization) 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).