Note: The job is a remote job and is open to candidates in USA. Capital One is building responsible and reliable AI systems and applying machine learning to create personalized customer experiences in banking. The Senior Distinguished Engineer will architect and scale foundational CPU- and GPU-based compute infrastructure for a cloud-based enterprise AI and machine learning platform, supporting distributed workloads, model training, inference, and generative AI applications. The role also provides technical leadership, cross-functional collaboration, mentoring, and talent development.
Responsibilities
- Architect and build control and data plane implementations required to realize a highly available, multi-tenant, large scale and a secure machine learning platform
- Develop Ray and Spark distributed compute engine solutions to accelerate diverse workloads from LLM pre-training and reinforcement learning to large-scale data processing, while maximizing compute unit economics
- Engineer systemic improvements for operational excellence including automating KTLO (Keep The Lights On) workflows
- Direct the technical execution of a diverse project portfolio, collaborating with developers specializing in everything ranging from distributed microservices to running large foundation models
- Work cross-functionally with product and program management disciplines, and stakeholder and partners across Capital One to help optimize business outcomes while driving towards strong technology solutions
- Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and leading system design and code review sessions
- Help elevate the Capital One Distinguished Engineering community and establish yourself as a go-to resource on given technologies and technology-enabled capabilities
- Lead the way in creating next-generation talent, mentoring internal talent and actively recruiting external talent to bolster the Capital One tech talent pool
Skills
- Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies
- At least 10 years of experience programming with Python, Go, Scala, or Java
- Master's Degree in Computer Science or a Master's Degree in Software Engineering
- Hands on experience in the internals of Ray (Actors/GCS/Scheduling) or Spark (Query Optimizer/Memory Management)
- Experience building platforms that support LLM training, fine-tuning, or high-throughput inference
- Hands-on experience with AWS-specific compute primitives (EKS, EC2 UltraClusters, Graviton) and cost-optimization strategies
- History of upstream contributions to major distributed systems projects
Benefits
- This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI).
- Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.
- Capital One is open to hiring a Remote Employee for this opportunity.
- Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
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