Senior Software Engineer, AI Performance Analysis

NVIDIA Corporation; Hillsboro (OR); On-site; USD 184,000 - 357,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation is seeking a Senior roles-focused candidate to design and build performance analysis tools for AI training and inference workloads. The role emphasizes translating engineer needs into scalable tooling and developing integrations between profiling infra and AI frameworks.

You will collaborate with performance engineers, hardware architects, and software teams to ensure profiling aligns with real-world AI workloads and identify bottlenecks with automated detection approaches.

Qualifications

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

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 align profiling with real-world workloads.
• Identify performance bottlenecks in AI workloads and develop automated detection/diagnosis approaches.

Skills

Python

C++

AI workload knowledge

Tooling development

Education

MS/PhD in Computer Science or Computer Engineering or related field

Tools

Profiling tools

Developer tooling experience

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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