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NVIDIA

Senior Software Engineer, AI Performance Analysis

NVIDIA

Senior Software Engineer creating tools to optimize AI performance analysis for NVIDIA. Collaborating with engineers and architects to develop scalable workflows for AI workloads.

Posted 5/16/2026full-timeRemote • California, Oregon • 🇺🇸 United StatesSenior💰 $168,000 - $322,000 per yearWebsite

Tech Stack

Tools & technologies
Python

About the role

Key responsibilities & impact
  • 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

Requirements

What you’ll need
  • 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

Benefits

Comp & perks
  • equity
  • benefits 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score

ATS Keywords

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Hard Skills & Tools
PythonC++AI frameworksperformance analysis toolsprofiling infrastructureautomated approachesscalable tooling solutionsperformance characteristicsworkflowsinfrastructure
Soft Skills
interpersonal skillscollaborationcommunicationproblem-solvinguser requirements translationteamworkunderstanding engineer difficultiesadaptabilityleadershiporganizational skills
Certifications
M.S. in Computer SciencePhD in Computer ScienceM.S. in Computer EngineeringPhD in Computer Engineeringrelated field degreeequivalent experience