Role at a glance
- Salary
- $184K – $356.5K/yr
- Location
- 3 Locations, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 6+ years of relevant work experience
- Education
- M.S., or PhD in Computer Science, Computer Engineering, or a related field (or equivalent experience)
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Role Summary
The NVIDIA GPU Architecture Group is hiring a senior software engineer to automate and optimize performance analysis workflows for AI training and inference workloads. The role focuses on building scalable tooling and integrations that help engineers analyze workloads, identify bottlenecks, and improve profiling workflows.
What You'll Do
- 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...
- Identify performance bottlenecks in AI workloads and develop automated approaches to detect and diagnose them.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
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.
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
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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.
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.About the company
NVIDIA
Large Enterprise
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.