Senior Software Engineer, AI Performance Analysis

2100 NVIDIA USA; Santa Clara (CA); On-site; USD 184,000 - 356,500; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA GPU Architecture Group is seeking a senior software engineer to automate and optimize performance analysis workflows for AI training and inference workloads. You will not only perform analysis but also reshape how it's done, building tools and workflows that scale across a broad audience of engineers.

Responsibilities include designing and building performance analysis tools, translating engineer needs into scalable tooling, and integrating profiling with AI frameworks.

Qualifications

• MS, or PhD in Computer Science, Computer Engineering, or a 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.

Responsibilities

• 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.

Skills

Strong software development

Interpersonal skills

Translate user requirements

AI workload profiling

Education

MS/PhD in CS/CE or related

Tools

Python

C++

Job description

Overview

NVIDIA GPU Architecture Group is seeking a senior software engineer to automate and optimize performance analysis workflows for AI training and inference workloads. You will not only perform analysis but also reshape how it's done, building tools and workflows that scale across a broad audience of engineers. NVIDIA is a world-class leader in AI workload optimization, and your work will push these boundaries even further!

Responsibilities

• 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.

Qualifications

• M.S., or PhD in Computer Science, Computer Engineering, or a 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 understanding engineer difficulties and working across multi-functional teams.

Ways to stand out

• 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

You will be eligible for equity and benefits. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

Applications for this job will be accepted at least until July 20, 2026.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.