Cornelis Networks

The Future of High Performance Fabrics

AI Performance Engineer

Full TimeRemoteTeam 51-200H1B SponsorCompany SiteLinkedIn

Location

Texas

Posted

7 days ago

Salary

Not specified

Bachelor Degree5 yrs expEnglishLinuxNode.jsPy Torch

Job Description

• Optimize training and multi-node inference across next-gen networking silicon and systems • Partner with architecture, firmware, software, and lighthouse customers • Own end-to-end performance for distributed AI workloads • Benchmark, characterize, and tune open-source & industry workloads • Design and optimize distributed serving topologies • Build crisp proof points that compare Cornelis Omni-Path to competing interconnects • Evangelize best practices on distributed inference patterns and anti-patterns

Job 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
  • Practical experience across AI stacks & comms: PyTorch, DeepSpeed, etc.
  • Comfortable with compilers and MPI stacks
  • Familiarity with network architectures and Linux systems at performance-tuning level
  • Excellent written and verbal communication skills

Benefits

  • Health and retirement benefits
  • Equity, cash, and incentives
  • Generous paid holidays
  • 401(k) with company match
  • Open Time Off (OTO) for regular full-time exempt employees
  • Sick time, bonding leave, and pregnancy disability leave

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