Senior AI Systems Performance Engineer

NVIDIA; Austin (TX); On-site; USD 272,000 - 431,250; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a Senior Performance Engineer to characterize and optimize large-scale AI workloads within the DGX Cloud AI Efficiency Team. You will drive end-to-end performance studies, establish baselines, diagnose bottlenecks, and guide optimization from investigation to deployment.

You will work with deep learning engineers, platform teams, and GPU architects to deliver measurable performance improvements, communicate findings clearly, and influence 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.

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

C++

Python

Performance engineering

Benchmarking

Profiling

Operating systems

Computer architecture

Distributed systems

Education

Bachelor's degree in Computer Science or related field

Tools

CUDA

PyTorch

JAX/XLA

Job description

NVIDIA is seeking a Senior Performance Engineer to characterize and optimize large-scale AI workloads within the DGX Cloud AI Efficiency Team. You will drive end-to-end performance studies, establish baselines, diagnose bottlenecks, and guide optimization from investigation to deployment.

You will work with deep learning engineers, platform teams, and GPU architects to deliver measurable performance improvements, communicate findings clearly, and influence design decisions.