● Strong current hiring demand for this role
Senior Software Engineer, AI Performance Analysis
Market pay estimate
$187,000–$228,963 / year for comparable Senior Software Engineer roles in United States. Estimated from 908 similar postings (high confidence) — not stated by the employer.
Role overview
Job 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.
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
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.More like this
About this listing
- Source: NVIDIA's official careers site · still listed there on 24 Oct 2026
- Posted 23 Oct 2026
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Role market pulse
How Senior Software Engineer demand looks in United States
Live jobs
1,198
Posted 30d
912
30d movement
+452.7%
Remote share
32.6%
Salary listed
85.6%
Salary trend 1Y
Not enough history
What they are looking for
Skills & requirements
Qualification
What we need to see: M.S., or PhD in Computer Science, Computer Engineering, or a related field (or equivalent experience)
Hiring company
NVIDIA
We create the world’s fastest supercomputer and largest gaming platform.
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