Senior Performance Engineer - DGX Cloud

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.

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