Workload Porting & Performance Engineer

OpenAI

San Francisco, California, United States
Not specified; not specified; relocation assistanc...
Remote
Performance analysis and benchmarking experience
System architecture understanding cpu gpu memory i/o
Workload porting across different hardware platforms
This role focuses on bridging the gap between theoretical capability and observed system performance for advanced AI workloads

Job Summary

  • This role focuses on bridging the gap between theoretical capability and observed system performance for advanced AI workloads.
  • You will play a critical role in validating new platforms by porting benchmarks and identifying system bottlenecks.
  • The position offers a hybrid work model of 3 days in the office per week along with relocation assistance.

Matching Summary

This role focuses on bridging the gap between theoretical capability and observed system performance for advanced AI workloads.

Salary

Not specified; Not specified; Relocation assistance offered

Skills & Requirements

Must-have

  • Performance analysis and benchmarking experience
  • System architecture understanding CPU GPU memory I/O
  • Workload porting across different hardware platforms
  • Profiling tools and performance debugging techniques
  • Root cause analysis across hardware software boundaries

Nice-to-have

  • Experience with AI ML training or inference systems
  • Familiarity with GPU or accelerator-based systems
  • Background in systems software compilers runtime optimization
  • Collaboration with hardware and architecture teams
  • Low-level performance tools profiling tracing microbenchmarks

Key Requirements

  • Strong hands-on experience with performance analysis
  • Experience working in large-scale distributed system environments
  • Ability to identify root causes of performance issues

Work Rights

Not specified

Tailored Resume

Cover Letter