Browse current jobs

Senior Performance Engineer - DGX Cloud

NVIDIA · Bangalore

Apply on employer website

Collected role description

Role overview

Senior Performance Engineer - DGX Cloud at NVIDIA

Analyze end-to-end performance of large-scale AI workloads across compute, network, storage, and software stacks.

Responsibilities

  • 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.
  • What we need to see:
  • 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
  • Ways to stand out from the crowd:
  • 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
  • NVIDIA leads the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization.
  • The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services.
  • Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions, from artificial intelligence to autonomous cars.
  • NVIDIA is looking for exceptional people like you to help us accelerate the next wave of artificial intelligence.

Employment details

  • Location: India [Bengaluru], India [Hyderabad]

About the employer

  • Joining NVIDIA's DGX Cloud AI Efficiency Team means advancing the performance, efficiency, and resiliency of large-scale AI workloads.

Additional role details

  • We help AI researchers and platform teams understand end-to-end behavior across GPUs, networking, storage, and software stacks.
  • We are seeking a Senior Performance Engineer to characterize workloads, establish performance baselines, diagnose bottlenecks, and drive optimizations from investigation through deployment.
  • Your work will shape scalable DGX Cloud systems, turn complex measurements into prioritized engineering decisions, and continuously raise the performance and reliability of AI workloads.
  • Join our technically diverse team of infrastructure experts to unlock more efficient AI at scale.

Collected experience requirement

12+ years