NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Senior Data Center Performance Engineer – Benchmarking, Optimization

EngineerEngineerFull TimeRemoteTeam 10,001+Since 1993H1B SponsorCompany Site LinkedIn

Location

California

Posted

94 days ago

Salary

$184K - $356.5K / year

Postgraduate Degree8 yrs expExperience acceptedEnglishLinuxPythonShell Scripting

Job Description

• 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 • 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

Job 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)
Background with HPC networking technologies (InfiniBand, RoCE, 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.