Technical Marketing Engineer - Ai Networking

Invidia

CA, United States
Base: 128,000 usd - 201,250 usd for level 3, 148,0...
Benchmarking ai workloads on nvidia gpus
Performance analysis of high-performance networking
Programming in python, bash, and c
You will develop and implement rigorous benchmarks on various GPU clusters, analyzing everything from LLM training to groundbreaking inference workloads

Job Summary

  • You will develop and implement rigorous benchmarks on various GPU clusters, analyzing everything from LLM training to groundbreaking inference workloads.
  • Your primary mission is to translate these performance results into compelling technical content, including white papers, blogs, and presentations, that clearly articulates why NVIDIA's Spectrum-X Ethernet solutions are the definitive choice for modern AI infrastructure.
  • With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers.

Matching Summary

You will develop and implement rigorous benchmarks on various GPU clusters, analyzing everything from LLM training to groundbreaking inference workloads.

Salary

Base: 128,000 USD - 201,250 USD for Level 3, 148,000 USD - 235,750 USD for Level 4; Bonus/Equity: Eligible for equity; Benefits: Generous benefits package

Skills & Requirements

Must-have

  • Benchmarking AI workloads on NVIDIA GPUs
  • Performance analysis of high-performance networking
  • Programming in Python, Bash, and C
  • Experience with distributed job orchestration
  • Knowledge of Ethernet and networking protocols

Nice-to-have

  • Automation and CI/CD pipelines
  • AI fabrics telemetry and metrics analysis
  • System knowledge of CPUs, GPUs, NIC, and memory
  • Strong analytical and problem-solving skills
  • Collaboration with cross-functional teams

Key Requirements

  • B.Sc in Computer Science or Software Engineering or equivalent experience
  • 5+ years benchmarking high-performance networking solutions
  • Hands-on expertise with CUDA, TensorFlow, and PyTorch
  • Experience with RDMA, MPI, and collective communication frameworks
  • Experience with Linux OS distributions

Work Rights

Not specified

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