Research Engineer - Ai/rl Infrastructure

Applied Intuition

Sunnyvale, California, United States
Base: $126,000 - $423,000 usd annually; equity: op...
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Production-grade software systems across full ml lifecycle
Performance engineering and compute acceleration for ml training
Systems-level debugging in distributed training environments
** Applied Intuition is seeking a Research Engineer specializing in AI/RL infrastructure to support their cutting-edge research in physical AI systems. The role involves designing large-scale ML systems and collaborating with top experts in the field, while working primarily onsite in Sunnyvale, California. **

Job Summary

  • The role involves designing and building training and evaluation infrastructure to support AI research directions by orchestrating massive GPU clusters.
  • Researchers can access millions of miles of data from large fleets to deploy methods into autonomous systems like self-driving cars and humanoid robots.
  • The position offers a compensation package including base salary ranging from $126,000 to $423,000 USD annually, equity, and comprehensive benefits.

Matching Summary

Match Score: 75

** Applied Intuition is seeking a Research Engineer specializing in AI/RL infrastructure to support their cutting-edge research in physical AI systems. The role involves designing large-scale ML systems and collaborating with top experts in the field, while working primarily onsite in Sunnyvale, California. **

Salary

Base: $126,000 - $423,000 USD annually; Equity: Options and/or restricted stock units included; Benefits: Comprehensive health, dental, vision, life, disability, 401k match, stipends

Skills & Requirements

Must-have

  • Production-grade software systems across full ML lifecycle
  • Performance engineering and compute acceleration for ML training
  • Systems-level debugging in distributed training environments
  • Deep familiarity with Pytorch, CUDA, Ray, Flyte, K8s

Nice-to-have

  • Industry experience in self-driving applications
  • Tech Lead or Manager capacity potential
  • Senior/Staff level experience preferred

Key Requirements

  • Experience building production-grade software systems
  • Strong systems-level debugging skills
  • Technical experience in Pytorch, CUDA, Ray, Flyte, K8s

Work Rights

Not specified

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