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Senior Software Engineer, AI Performance Analysis jobs in United States
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NVIDIA · 2 weeks ago

Senior Software Engineer, AI Performance Analysis

NVIDIA is a world-class leader in AI workload optimization, and they are seeking a senior software engineer to automate and optimize performance analysis workflows for AI training and inference workloads. The role involves designing and building performance analysis tools and workflows, collaborating with engineers, and identifying performance bottlenecks in AI workloads.
Artificial Intelligence (AI)TransportationCloud ComputingEmbedded SoftwareGamingHardwareQuantum ComputingSemiconductorAI InfrastructureAutonomous VehiclesEmbedded SystemsFoundational AI
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Growth Opportunities
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H1B Sponsor Likelynote

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 ensure profiling capabilities align with real-world AI workloads
Identify performance bottlenecks in AI workloads and develop automated approaches to detect and diagnose them

Qualification

AI workloadsAI frameworksPerformance analysisPythonC++Profiling AI training pipelinesProfiling AI inference pipelinesDeveloper tools for ML engineers

Required

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

Preferred

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

Benefits

You will also be eligible for equity and [benefits](https://www.nvidia.com/en-us/benefits/).

Company

NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.

H1B Sponsorship

NVIDIA has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
89%
Represents job field similar to this job
Engineering and Development
Management and Executive
Product Management
Marketing
Sales
Accounting and Finance
Customer Service and Support
Creatives and Design
Human Resources
Arts and Entertainment
Legal and Compliance
Trends of Total Sponsorships
*2026 (1247)
2025 (1868)
2024 (1353)
2023 (976)
2022 (835)
2021 (601)
2020 (529)

Funding

Current Stage
Public Company
Total Funding
$29.09B
Key Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2026-06-15Post Ipo Debt· $25B
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M

Leadership Team

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Jensen Huang
Founder and CEO
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Michael Kagan
Chief Technology Officer
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Company data provided by crunchbase