Senior Software Engineer, AI Performance Analysis

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

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation in the United States is seeking an experienced performance tooling engineer to design and build tools for AI training and inference workloads. You will translate engineers’ needs into scalable, intuitive tooling and collaborate with performance engineers, hardware architects, and software teams to align profiling with real-world AI workloads.

The role requires advanced degrees or equivalent experience, deep knowledge of AI workloads, and strong Python and C++ skills.

Qualifications

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

Responsibilities

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

Skills

Python

C++

Interpersonal skills

Requirements translation

AI workloads knowledge

Education

MS/PhD in CS/CE or equivalent

Tools

Profiling tools

ML frameworks

Performance tooling

Job description

What You'll Be Doing

• 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.

What We Need To See

• 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 From The Crowd

• 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

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 27, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) 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.

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