Senior AI Systems Performance Engineer (Equity Eligible)

NVIDIA Corporation; United States; Remote; USD 224,000 - 431,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation seeks a Senior Performance Engineer to characterize workloads, establish performance baselines, diagnose bottlenecks, and drive optimizations from investigation through deployment. You will shape scalable DGX Cloud systems and turn measurements into prioritized engineering decisions, raising performance and reliability of AI workloads.

Your work involves partnering with DL engineers, platform teams, and GPU architects, and communicating findings to influence system and

Qualifications

• BS or higher degree in computer science, computer engineering, or a related field (or equivalent experience).
• 12+ years of experience with strong programming skills in C++ and Python, able 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

Operating systems

Computer architecture

Distributed systems

Communication

Education

BS or higher in computer science / computer engineering or related field

Tools

CUDA

PyTorch

JAX/XLA

Profiling tools

Job description

NVIDIA Corporation seeks a Senior Performance Engineer to characterize workloads, establish performance baselines, diagnose bottlenecks, and drive optimizations from investigation through deployment. You will shape scalable DGX Cloud systems and turn measurements into prioritized engineering decisions, raising performance and reliability of AI workloads.

Your work involves partnering with DL engineers, platform teams, and GPU architects, and communicating findings to influence system and