Senior AI Performance Engineer - Remote GPU Systems

NVIDIA Corporation; Santa Clara (CA); Hybrid; USD 258,750 - 431,250; Full time

Benefits offered by this job

Equity

Comprehensive benefits

Job summary

NVIDIA is seeking a Senior Performance Engineer for the DGX Cloud team, focused on end-to-end performance of large-scale AI workloads across GPUs, networking, storage, and software stacks.

You will design rigorous studies, establish baselines, diagnose bottlenecks, and drive optimizations from investigation through deployment, collaborating with cross-functional teams to deliver measurable improvements in efficiency and reliability.

Qualifications

• BS or higher in CS/CE or related field (or equivalent experience).
• 12+ years of programming experience in C++ and Python.
• Strong foundation in OS, architectures, and distributed systems.

Responsibilities

• Analyze end-to-end performance of large-scale AI workloads across compute, network, storage, and software stacks.
• Design and execute performance studies to establish baselines and diagnose bottlenecks.
• Define evaluation methodologies, benchmarks, and success metrics for AI workloads.
• Use profiling and data analysis to translate measurements into optimization plans.
• Collaborate with DL engineers, platform teams, and GPU architects to implement improvements.

Skills

C++

Python

Performance profiling

CUDA

Distributed systems

Education

Bachelor's degree in Computer Science/Engineering

Tools

CUDA toolkit

PyTorch

Profiling tools

Job description

NVIDIA is seeking a Senior Performance Engineer for the DGX Cloud team, focused on end-to-end performance of large-scale AI workloads across GPUs, networking, storage, and software stacks.

You will design rigorous studies, establish baselines, diagnose bottlenecks, and drive optimizations from investigation through deployment, collaborating with cross-functional teams to deliver measurable improvements in efficiency and reliability.