Senior Systems Performance Engineer

at Nvidia
USD 136,000-258,800 per year
SENIOR
✅ On-site

Tech Stack

AI CUDA @ 6 Debugging @ 4 Deep Learning GPU @ 6 LLM Machine Learning @ 4 Networking @ 4 Python @ 4 SGLang @ 4 Security @ 4 Slurm @ 4 System Architecture TensorRT @ 4 vLLM @ 4

Details

NVIDIA is seeking a Senior Validation Engineer for the DGX Server Product Engineering Team. You will work with hardware and software engineers to develop and implement complex automated test plans for GPU-accelerated computing products.

Responsibilities

  • Perform system architecture, design, 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 Deep Learning and AI applications.

Requirements

  • Ability to work onsite in a hardware lab environment five days per week.
  • Bachelor of Science in Electrical Engineering, Computer Engineering, or equivalent experience.
  • At least five years of experience validating and debugging complex systems.
  • Experience developing and running real-world machine learning and large language model workloads.
  • Mandatory experience with Dynamo, TensorRT, Slurm, and BCM.
  • Preferred knowledge of vLLM and SGLang.
  • Proficiency in CUDA, cuBLAS, and CUTLASS.
  • Deep understanding of computing architectures.
  • Python programming experience, including running simulators.
  • Experience with data center products, including system management, security, networking, and storage.

Preferred Qualifications

  • Background with x86 and Arm server architectures and accelerated GPU computing.
  • Track record of continuous process improvement and a passion for tools and automation.

Benefits

NVIDIA offers competitive salaries, equity, and a comprehensive benefits package. The company is committed to fostering a diverse work environment and is an equal opportunity employer. Applications will be accepted at least until April 5, 2026.

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