Senior Data Center Performance Engineer - Benchmarking and Optimization

NVIDIA
Santa Clara
Workplace: OnsiteFull timeUSD 184,000 - 356,500 annuallyFunction: Solutions Engineering & Sales EngineeringExperience: 8+ yearsEducation: mastersSkills: ["Communication","Problem-solving","Collaboration","Analytical thinking"]

Lead performance benchmarking and optimization for NVIDIA's data center platforms, profiling AI training/inference and HPC workloads at scale. Define KPIs, build automation, and collaborate with architecture, hardware, software, networking and customer teams to drive system-level performance improvements across compute, memory, and I/O subsystems.

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FursaFursa
NVIDIA
NVIDIA
6 months ago

Senior Data Center Performance Engineer - Benchmarking and Optimization

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live

Job Summary

Lead performance benchmarking and optimization for NVIDIA's data center platforms, profiling AI training/inference and HPC workloads at scale. Define KPIs, build automation, and collaborate with architecture, hardware, software, networking and customer teams to drive system-level performance improvements across compute, memory, and I/O subsystems.
Location: Santa Clara
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Sr. Manager level

Key Responsibilities

  • •Design and execute comprehensive performance benchmarking strategies for our data center platforms and products.
  • •Characterize real-world AI training, inference, and HPC workloads at scale.
  • •Define, track, and report key performance indicators (throughput, latency, efficiency, scaling).
  • •Build automation tools and frameworks for performance monitoring and analysis.
  • •Identify and analyze performance bottlenecks across compute, memory, network and storage subsystems.

Pay and Benefits

Salary: USD 184,000 - 356,500 annually
Equity and Bonus:Equity
Perks:Equity

Key Requirements

  • •M.S. or Ph.D. in Computer Science, Electrical Engineering or related field (or equivalent experience).
  • •8+ years of experience in performance engineering or system architecture
  • •Deep understanding of computer architecture, hardware-software interaction and computing at-scale
  • •Strong proficiency in performance profiling tools (Linux perf, NVIDIA Nsight Systems)
  • •Familiarity with GPU computing and parallel programming (CUDA)
Experience:8+ years
Education:Master's
Skills:CommunicationProblem-solvingCollaborationAnalytical thinking
Languages:English
Tech Stack:PythonC++Shell scriptingLinux perfNVIDIA Nsight SystemsCUDAInfiniBandRoCENVLinkPyTorchTensorFlowJAXMPINCCLDockerKubernetesSLURM

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
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Glassdoor: 4.3
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