Senior Systems Performance Engineer 

NVIDIA
Santa Clara
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 5+ yearsEducation: bachelorsSkills: ["CUDA","CUBLAS","Cutlass","Python","TensorRT","Slurm","Dynamo","VLLM","SG Lang","GPU","Server","AI"]

Join NVIDIA’s DGX Server Product Engineering team as a Senior Validation Engineer, driving system-level validation, performance modeling, and automated test strategy for GPU-accelerated computing. You’ll enable GPU SKU bring-up, develop stress tests for real-world ML workloads, and work closely with HW/SW engineers in a lab environment to ensure robust, scalable AI compute platforms.

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FursaFursa
NVIDIA
NVIDIA
5 months ago

Senior Systems Performance Engineer 

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 14 hours agoStatus: Live
Reposted: similar role first listed 7 months ago

Job Summary

Join NVIDIA’s DGX Server Product Engineering team as a Senior Validation Engineer, driving system-level validation, performance modeling, and automated test strategy for GPU-accelerated computing. You’ll enable GPU SKU bring-up, develop stress tests for real-world ML workloads, and work closely with HW/SW engineers in a lab environment to ensure robust, scalable AI compute platforms.
Location: Santa Clara
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Sr. Manager level

Key Responsibilities

  • •Design system architecture and perform performance modelling across new GPU models and packages.
  • •Enable GPU SKU bring-up, validation and model enablement in collaboration with HW/SW teams.
  • •Develop system-level stress and performance testing strategies using leading Deep Learning/AI applications.
  • •Execute automated test plans in a hardware lab environment to validate compute platforms.
  • •Collaborate with data center product teams on system management, security, networking, and storage considerations.

Pay and Benefits

Equity and Bonus:Equity
Perks:Equity

Key Requirements

  • •5+ years of experience validating and debugging complex systems.
  • •Bachelor’s degree in Electrical Engineering or Civil Engineering or equivalent experience (BSEE/BSCE).
  • •Proficiency with Dynamo, TensorRT, Slurm, BCM is mandatorily required.
  • •Proficiency in CUDA, cuBLAS, and Cutlass; strong Python coding and simulator experience.
  • •Experience with datacenter products including system management, security, networking, and storage.
Experience:5+ yearsGPUAIDatacenterServer computing
Education:Bachelor's
Skills:CUDACUBLASCutlassPythonTensorRTSlurmDynamoVLLMSG LangGPUServerAI
Languages:English
Tech Stack:CUDACUBLASCutlassPythonTensorRTSlurmDynamoVLLMSG Lang

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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