About The Company

Capital One is a leading financial services organization dedicated to transforming banking through innovative technology and responsible AI systems. With a rich history of leveraging machine learning and data-driven solutions, Capital One has established itself as an industry pioneer committed to delivering personalized, real-time customer experiences. The company invests heavily in cutting-edge technology infrastructure and attracts world-class talent to stay at the forefront of AI advancements. Its mission is to reimagine banking by harnessing emerging AI capabilities, creating products and services that are human-centric, scalable, and reliable. Capital One’s focus on responsible AI deployment ensures that customer trust and data security remain paramount as it continues to innovate in the financial sector.

About The Role

The Senior Distinguished Engineer, AI Compute role at Capital One is a strategic and technical leadership position responsible for designing, developing, and scaling foundational AI compute infrastructure. This remote-eligible position offers an exciting opportunity to influence the core systems that power large-scale AI and machine learning workloads across the organization. The successful candidate will be a hands-on technical leader with deep expertise in distributed systems, cloud computing, and high-performance computing architectures. Your primary focus will be on building and optimizing compute platforms on CPU and GPU substrates, supporting a range of AI applications from model training and inference to data processing and generative AI. You will collaborate closely with cross-functional teams, guide technical projects, and contribute to the ongoing evolution of Capital One’s AI infrastructure, ensuring operational excellence, security, and scalability.

Qualifications

Bachelor’s degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or
Master’s degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies
Minimum of 10 years of programming experience with Python, Go, Scala, or Java

Responsibilities

Architect and develop control and data plane implementations to realize a highly available, multi-tenant, large-scale, and secure machine learning platform
Design and implement distributed compute engine solutions using Ray and Spark to accelerate diverse workloads, including LLM pre-training, reinforcement learning, and large-scale data processing, while optimizing compute efficiency
Lead systemic improvements for operational excellence by automating routine workflows and maintenance tasks
Manage the technical execution of multiple projects, collaborating with developers working on distributed microservices and large foundation models
Partner with product and program management teams, as well as stakeholders across Capital One, to align technical solutions with business goals
Stay current with technological trends, experiment with new tools and frameworks, and participate in internal and external technology communities
Lead system design and code review sessions, promoting best practices and high standards within the engineering team
Mentor internal talent and actively participate in recruiting efforts to build a strong, innovative engineering community

Benefits

Competitive salary aligned with experience and location
Performance-based incentive compensation, including cash bonuses and long-term incentives
Comprehensive health, dental, and vision insurance plans
Retirement savings plans with company matching
Paid time off and flexible work arrangements
Opportunities for professional development and continuous learning
Inclusive and diverse work environment that fosters innovation and collaboration

Equal Opportunity

Capital One is an equal opportunity employer committed to fostering an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected characteristic under applicable law. We promote a drug-free workplace and ensure fair hiring practices in accordance with federal, state, and local laws. We welcome qualified applicants with criminal histories and provide reasonable accommodations during the application process to ensure equal access to employment opportunities.