Senior Data Center Performance Engineer – Benchmarking and Optimization
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locationsUS, CA, Santa ClaraUS, Remote
time typeFull time
posted onPosted Yesterday
job requisition idJR2008808
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. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work.
NVIDIA has a rapidly expanding ecosystem of data center platform designs. From single node HGX/DGX systems all the way up to large multi-node NVLink domain rack architectures. These designs have become core to NVIDIA's rapidly growing enterprise and cloud provider businesses. Each brings together the full power of NVIDIA GPUs, NVIDIA NVLink, NVIDIA InfiniBand networking, NVIDIA Grace CPUs, and a fully optimized NVIDIA AI and HPC software stack. We are searching for a highly motivated engineer to lead performance benchmarking and optimization efforts for our data center products. You will be instrumental in ensuring our data center solutions deliver industry-leading performance for accelerated computing workloads.
What you will be doing:
- 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
What we need to see:
- 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
Ways to stand out from the crowd:
- 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
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until March 9, 2026.
This posting is for an existing vacancy.
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