JobsSenior Data Center Performance Engineer - Benchmarking and Optimization
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Senior Data Center Performance Engineer - Benchmarking and Optimization

NVIDIA

Location

remote, Santa Clara, CA

Type

Full-time

Posted

8/18/2026

Compensation

$184,000 - $356,500 per year

Master's with 5+ Years of Experience
PhD with 5+ Years of Experience
Approval 99.2%·Filings 1,781·New hires 873·
👑 Elite Sponsor
·FY 2025

Job description

NVIDIA is seeking a highly motivated engineer to lead performance benchmarking and optimization for their data center products. This role involves working in a diverse and supportive environment focused on delivering industry-leading performance for accelerated computing workloads. The team is responsible for designing comprehensive benchmarking strategies and collaborating with various teams to resolve performance issues. The ideal candidate will have a strong background in performance engineering and a passion for innovation in computing.

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 such as Linux perf and NVIDIA Nsight Systems.
  • Familiarity with GPU computing and parallel programming using CUDA.
  • Background with HPC networking technologies including InfiniBand, RoCE, and NVLink.
  • Programming skills in Python, C++, and shell scripting.
  • Excellent analytical and problem-solving abilities.
  • Adaptability and passion to learn new technologies.
  • Ability to communicate effectively and work with cross-functional global teams.

Responsibilities

  • Design and execute comprehensive performance benchmarking strategies for data center platforms and products.
  • Characterize real-world AI training, inference, and HPC workloads at scale.
  • Define, track, and report key performance indicators such as throughput, latency, efficiency, and scaling.
  • Build automation tools and frameworks for performance monitoring and analysis.
  • Identify and analyze performance bottlenecks across compute, memory, network, and storage subsystems.
  • Work closely with architecture, hardware, software, networking, storage, and customer teams to resolve performance issues.
  • Drive performance improvements through system tuning, configuration optimization, and architectural recommendations for future generation systems.

Benefits

  • Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.

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