JobsSenior Data Center Performance Engineer - Benchmarking and Optimization
Senior Data Center Performance Engineer - Benchmarking and Optimization
NVIDIASenior Data Center Performance Engineer - Benchmarking and Optimization
NVIDIALocation
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 2025Job 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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