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# Senior Software Engineer, AI Performance Analysis

- **Company:** NVIDIA Corporation
- **Location:** Hillsboro, OR, United States
- **Experience:** Expert
- **Salary:** $168,000.0 - $270,250.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, C++ (Programming Language), Computer Engineering, Programming Tools, Python (Programming Language), Open Source Technology, Performance Tuning, Software Engineering, Graphics Processing Unit (GPU), Delivery Pipeline, Build Management, Information Technology
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-software-engineer-ai-performance-analysis-hillsboro-or--da8b25b7-0846-4033-9990-c1b498d99bef

## About the Role

Software Engineering, Artificial Intelligence (AI), Performance Analysis, Software Engineering, Analysis Skills, Performance Analysis, Performance Tuning/Optimization, GPU (Graphics Processing Unit), Artificial Intelligence (AI), Workflow Analysis, * 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

## Description

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!

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.