NVIDIA · 7 hours ago
Senior Data Center Performance Engineer - Benchmarking and Optimization
Santa Clara, CA
Full-time
Onsite
Senior Level, Lead/Staff
$184K/yr - $288K/yr
8+ years expNVIDIA has been transforming computer graphics and accelerated computing for over 25 years. They are seeking a highly motivated engineer to lead performance benchmarking and optimization efforts for their data center products, ensuring industry-leading performance for accelerated computing workloads.
Artificial Intelligence (AI)Consumer ElectronicsGPUHardwareSoftwareVirtual Reality
Hiring Manager
Bella Yanovsky
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
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
Qualification
Required
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
Preferred
Experience with AI/ML frameworks (PyTorch, TensorFlow, JAX)
Knowledge of MPI, collective communications (NCCL), distributed training and inference
Familiarity with NVIDIA DGX, HGX platforms and other data center solutions
Familiar with containers, cloud provisioning and scheduling tools (Docker, Kubernetes, SLURM)
Understanding of storage systems and I/O performance
Track record of performance optimization in production environment
Experience with AI code generation tools
Benefits
Equity
Benefits
Company
NVIDIA
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.
10001+ employees
H1B Sponsorship
NVIDIA has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
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Trends of Total Sponsorships
2025 (1418)
2024 (1356)
2023 (976)
2022 (835)
2021 (601)
2020 (529)
Funding
Current Stage
Public CompanyTotal Funding
$4.09BKey Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity
Leadership Team
Jensen Huang
Founder and CEO
Michael Kagan
Chief Technology Officer
Recent News
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