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[Remote] Senior Performance Engineer - DGX Cloud

Remote · South Korea Full-time

Note: The job is a remote job and is open to candidates in USA. NVIDIA is hiring a Senior Performance Engineer for its DGX Cloud AI Efficiency Team. The role analyzes and optimizes the performance, efficiency, and resiliency of large-scale AI workloads across compute, networking, storage, and software, partnering with engineering and architecture teams to deliver improvements.

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

Skills

  • 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
  • Experience analyzing large-scale AI clusters or distributed training and inference workloads
  • Experience with CUDA, GPU computing systems, and GPU performance analysis
  • Hands-on experience with deep learning frameworks such as PyTorch or JAX/XLA
  • Deep understanding of system-level performance analysis, workload characterization, and optimization

Benefits

  • Eligible for equity

Company Overview

  • NVIDIA designs graphics processing units and accelerated computing hardware for AI and high-performance computing applications. It was founded in 1993, and is headquartered in Santa Clara, California, USA, with a workforce of 10001+ employees. Its website is https://www.nvidia.com.
  • Company H1B Sponsorship

  • NVIDIA has a track record of offering H1B sponsorships, with 2427 in 2026, 1865 in 2025, 1352 in 2024, 975 in 2023, 835 in 2022, 601 in 2021, 529 in 2020. Please note that this does not guarantee sponsorship for this specific role.
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