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Senior Performance Engineer - DGX Cloud

NVIDIA· Engineer, Sys SW
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Hybrid (Remote / Local)$224k - $356.5kFull-timePosted 2mo ago

About the role

Senior Performance Engineer to characterize workloads, establish baselines, diagnose bottlenecks, and drive optimizations for large-scale AI workloads within NVIDIA's DGX Cloud AI Efficiency Team.

Responsibilities

  • Analyze end-to-end performance of large-scale AI workloads across compute, network, storage, and software stacks.
  • Design and execute rigorous performance studies to establish baselines, diagnose regressions, and quantify bottlenecks.
  • Define performance and efficiency evaluation methodologies, benchmarks, and success metrics for AI workloads.
  • Use profiling, observability, and data analysis to turn performance measurements into actionable optimization plans.
  • Partner with deep learning engineers, platform teams, and GPU architects to validate and deliver performance improvements.
  • Communicate performance findings, tradeoffs, and recommendations clearly to influence system and software design decisions.

Qualifications

  • BS or higher degree in computer science, computer engineering, or a related field (or equivalent experience).
  • 12+ years of experience in strong programming skills in C++ and Python, with the ability to build reliable analysis and automation workflows
  • Solid foundation in operating systems, computer architecture, and distributed systems
  • Experience with performance engineering, benchmarking, profiling, and optimization of complex software or systems
  • Ability to communicate technical findings, prioritize high-impact work, and build alignment across teams

Skills

Required:C++ programmingPythonPerformance engineering

Benefits

  • equity
  • benefits (see company page)
Last updated Oct 2, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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