AI Performance Engineer

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