Senior AI Performance Tools Engineer

NVIDIA Corporation; United States; On-site; USD 184,000 - 357,000; Full time

Job summary

NVIDIA Corporation's GPU Architecture Group seeks a senior software engineer to automate and optimize performance analysis workflows for AI training and inference workloads. You will design and build scalable tooling, translating engineer needs into practical solutions and integrating profiling with AI frameworks and workflows.

You will collaborate with performance engineers, hardware architects, and software teams to ensure profiling capabilities align with real-world AI workloads and to

Qualifications

• MS or PhD in CS, CE, or related field, or equivalent experience.
• 6+ years of relevant work experience.
• Deep knowledge of AI workloads, frameworks and performance characteristics.
• Experience building tools, workflows, or infrastructure used by other engineers.
• Strong software development skills (Python, C++ preferred).
• Ability to translate user requirements into scalable tooling solutions.
• Up to date with AI-enabled tooling for software development and performance analysis.
• Strong interpersonal skills for cross-functional collaboration.

Responsibilities

• Design and build performance analysis tools and workflows for AI training and inference workloads.
• Understand engineers' needs and translate them into scalable tooling.
• Develop integrations between profiling infrastructure and AI frameworks and workflows.
• Collaborate with performance engineers, hardware architects, and software teams.
• Identify bottlenecks and develop automated approaches to diagnose them.

Skills

Python

C++

AI workloads

Tooling development

Cross-functional teamwork

Education

MS/PhD in CS/CE or related field

Job description

NVIDIA Corporation's GPU Architecture Group seeks a senior software engineer to automate and optimize performance analysis workflows for AI training and inference workloads. You will design and build scalable tooling, translating engineer needs into practical solutions and integrating profiling with AI frameworks and workflows.

You will collaborate with performance engineers, hardware architects, and software teams to ensure profiling capabilities align with real-world AI workloads and to