AI Performance Engineer

Cornelis Networks
Austin, TX
Remote
Job Description
Cornelis Networks is seeking an AI Performance Engineer to optimize training and multi-node inference across next-gen networking silicon and systems. The ideal candidate will have experience with distributed AI workloads, benchmarking, and tuning of open-source and industry workloads, as well as a strong understanding of network architectures and Linux systems.

Requirements

  • B.S. in CS/EE/CE/Math or related
  • 5–7+ years running AI/ML at cluster scale
  • Proven ability to set up, run, and analyze AI benchmarks
  • Hands-on with distributed training and inference architectures
  • Familiarity with network architectures and Linux systems

Benefits

  • Competitive compensation package
  • Equity
  • Cash
  • Incentives
  • Health and retirement benefits
  • Flexible work environment
  • Paid holidays
  • 401(k) with company match
  • Open Time Off (OTO)
  • Sick time
  • Bonding leave
  • Pregnancy disability leave
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