Senior Systems Performance Engineer 

$136k - $259k • US, CA, Santa Clara

Posted 1mo ago

Remote Work Policy

On-site

Categories

Machine Learning Engineer

About the job

NVIDIA is seeking a Senior Validation Engineer to join the DGX Server Product Engineering Team. In this role, you will collaborate with a team of hardware and software engineers to develop and implement complex automated test plans for industry-leading GPU-accelerated computing products. You will be involved in system architecture, design, and performance modeling for new models and packages, as well as enabling GPU SKU bring-up, validation, and model enablement. A key part of the role involves developing and executing system-level stress and performance testing strategies using industry-leading Deep Learning/AI applications.

Responsibilities

  • Perform system architecture, design, and performance modeling and estimation across new models and packages.
  • Enable GPU SKU bring-up, validation, and model enablement.
  • Develop system-level stress and performance testing strategies using industry-leading Deep Learning/AI applications.

Requirements

  • Ability to work onsite in a hardware lab environment 5 days a week.
  • BSEE or BSCE or equivalent experience.
  • 5+ years of experience in validating and debugging complex systems.
  • Experience developing and running real-world ML/LLM workloads.
  • Mandatory skills in Dynamo, TensorRT, Slurm, and BCM.
  • Knowledge of vLLM and SG Lang is preferred.
  • Proficiency in Cuda, Cublas, and Cutlass.
  • Deep understanding of computing architectures.
  • Coding experience with Python programming and running simulators.
  • Experience with datacenter products including system management, security, networking, and storage.
  • Background with x86/Arm server architectures and accelerated GPU computing.
  • Track record of continuous process improvement with a passion for tools and automation.

Benefits

  • Highly competitive salaries
  • Comprehensive benefits package
  • Equity

About nvidia

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