2 days ago
Base Salary
$184k - $357k/yr
Responsibilities
- Design and build performance analysis tools and workflows for AI training and inference workloads.
- Translate AI performance engineers’ needs into scalable, intuitive tooling.
- Develop integrations between profiling infrastructure and AI frameworks and workflows.
- Collaborate with performance engineers, hardware architects, and software teams.
- Identify AI workload bottlenecks and develop automated detection and diagnosis approaches.
Requirements
- 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, preferably in Python and C++.
- Ability to translate user requirements into scalable tooling solutions.
- Current knowledge of AI-enabled tooling for software development and performance analysis.
- Strong interpersonal and cross-functional collaboration skills.
Benefits
- Eligible for equity and benefits.
- Applications accepted at least until October 27, 2026.
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.