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Senior Performance Engineer - DGX Cloud

NVIDIA· Engineer, Sys SW
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Bengaluru, Hyderabadfull-timePosted 1mo 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. Focus on end-to-end performance across GPUs, networking, storage, and software stacks, turning measurements into prioritized engineering decisions to improve performance and reliability.

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:end-to-end performance analysisperformance benchmarkingprofiling and observabilityC++Pythoncommunication
Last updated Sep 4, 2026. Interested? Apply on the company site.

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

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