NVIDIA GPU Architecture Group is seeking a senior software engineer to automate and optimize performance analysis workflows for AI training and inference workloads.

Company: NVIDIA

Role: Senior Software Engineer, AI Performance Analysis

Location: US, CA, Santa Clara | US, CA, Remote | US, OR, Hillsboro

Experience:

6+ years of relevant work experience
M.S., or PhD in Computer Science, Computer Engineering, or a related field (or equivalent experience)

Key Skills:

Python
C++
AI workloads
AI frameworks
performance analysis
profiling infrastructure
software development

Qualification:

M.S., or PhD in Computer Science, Computer Engineering, or a related field (or equivalent experience)

Role Focus:

Design and build performance analysis tools and workflows for AI training and inference workloads
Understand how AI performance engineers work and translate their needs into scalable, intuitive tooling
Develop integrations between profiling infrastructure and AI frameworks and workflows
Collaborate with performance engineers, hardware architects, and software teams to ensure profiling capabilities align with real-world AI workloads
Identify performance bottlenecks in AI workloads and develop automated approaches to detect and diagnose them

Nice to have:

Experience profiling or optimizing AI training or inference pipelines at scale
Background building developer tools or platforms for ML engineers
Contributions to open-source AI tooling or frameworks

Other:

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions
The base salary range is 168,000 USD - 270,250 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5
You will also be eligible for equity and benefits
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer

Senior Software Engineer, AI Performance Analysis

Skills Required

Description