Senior Distinguished Engineer, Ai Compute (remote Eligible)

Capital One

Cambridge, MA, US
Base: $286,200 - $392,000 annually by location; bo...
Fully remote
7+ years application architecture experience
5+ years distributed databases and microservices
Golang and python programming expertise
Capital One is seeking a Senior Distinguished Engineer for their AI Compute team, focusing on building scalable and reliable AI systems. The ideal candidate should have extensive experience in distributed systems, cloud infrastructure, and machine learning, with strong programming skills in Golang and Python

Job Summary

  • The role involves architecting a highly available, multi-tenant machine learning platform to support diverse workloads from model training to generative AI inference.
  • Candidates must leverage deep expertise in Golang, Python, and distributed frameworks like Ray and Spark to engineer foundational compute capabilities on CPU and GPU substrates.
  • Capital One offers competitive salaries ranging from $286,200 to $392,000 annually depending on location, along with performance-based incentives and comprehensive benefits.

Matching Summary

Match Score: 85

Capital One is seeking a Senior Distinguished Engineer for their AI Compute team, focusing on building scalable and reliable AI systems. The ideal candidate should have extensive experience in distributed systems, cloud infrastructure, and machine learning, with strong programming skills in Golang and Python.

Salary

Base: $286,200 - $392,000 annually by location; Bonus/Equity: Performance based incentive compensation including cash bonuses and/or long term incentives; Benefits: Comprehensive health, financial, and other well-being benefits

Skills & Requirements

Must-have

  • 7+ years application architecture experience
  • 5+ years distributed databases and microservices
  • Golang and Python programming expertise
  • Ray or Spark distributed compute frameworks
  • Kubernetes container orchestration
  • AWS Lambda serverless runtime environments

Nice-to-have

  • Passion for mentoring internal talent
  • Experience with LLM pre-training workflows
  • Knowledge of cost optimization strategies
  • Active participation in tech communities
  • Hands-on experience with AWS Graviton

Key Requirements

  • Bachelor's Degree required
  • Minimum 7 years in application architecture
  • Minimum 5 years in distributed systems
  • Eligibility for employment authorization sponsorship

Work Rights

Not specified

Sponsorship: available

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