Senior Data Center Performance Engineer - Benchmarking and Optimization

Nvidia

Remote Actively hiring Verified listing
Remote, USA · Santa Clara, CA Posted 10 days ago $184,000–$287,500 / year
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At a glance

AI generated

TL;DR

Join NVIDIA’s high-impact team as a Senior Performance Engineer to lead benchmarking and optimization efforts for cutting-edge data center platforms, including DGX and HGX systems. Your role will involve designing comprehensive performance strategies, characterizing large-scale workloads, and building automation tools for monitoring and analysis. You’ll collaborate closely with cross-functional teams to identify and resolve bottlenecks across various subsystems, driving improvements through system tuning and architectural recommendations. Ideal candidates have an M.S. or Ph.D., 8+ years of experience in performance engineering, expertise in GPU computing, HPC networking, and proficiency in Python, C++, and shell scripting. Experience with AI/ML frameworks, containerization tools, and cloud provisioning is a plus, as you’ll work on industry-leading solutions that power NVIDIA’s enterprise and cloud provider businesses.

Skills

Python CUDA C++ Linux_perf Nsight_Systems PyTorch TensorFlow JAX MPI NCCL Docker Kubernetes SLURM NVIDIA_NVGX NVIDIA_HGX InfiniBand RoCE NVLink

What you'll do

  • Design and execute comprehensive benchmarking strategies for data center platforms.
  • Characterize real-world AI training, inference, and HPC workloads at scale.
  • Define, track, and report key performance indicators for system efficiency.
  • Build automation tools for performance monitoring and analysis.
  • Identify and resolve performance bottlenecks across various subsystems.

What we're looking for

  • M.S. or Ph.D. in Computer Science, Electrical Engineering, or related field.
  • 8+ years of experience in performance engineering or system architecture.
  • Deep understanding of computer architecture and hardware-software interaction.
  • Proficiency in performance profiling tools like Linux perf and NVIDIA Nsight Systems.
  • Strong background in GPU computing, parallel programming (CUDA), and HPC networking technologies.
  • Programming skills in Python, C++, and shell scripting; excellent analytical and problem-solving abilities.
  • Experience with AI/ML frameworks (PyTorch, TensorFlow) and distributed training/inference.

Market check

Salary context

This $184,000–$287,500 range sits above 86% of similar postings on FindRole.

Peer median band

$139,700–$225,850

Median floor and ceiling across peers.

Typical midpoint (25–75%)

$142,400–$226,800

Middle half of comparable postings.

Based on 240 comparable postings.

* 240 is the maximum number of comparable postings sampled.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 801 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 797 roles with salary data.

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