Software Engineer, GPU Performance Tools
NVIDIAJob Title
Software Engineer, GPU Performance Tools
Role Summary
The GPU Architecture Group is hiring a software engineer to design and implement profiling and performance-analysis features for NVIDIA GPU tooling. The role focuses on adding hardware-aware profiling capabilities and improving developer workflows for performance optimization.
Experience Level
Mid-level — expects 3+ years of professional software development experience; suitable for engineers with demonstrated production experience in performance-sensitive systems.
Responsibilities
You will develop profiling features, integrate new hardware capabilities, and maintain tools used by engineers for GPU performance analysis.
- Design and implement new features for GPU profiling tools from concept through delivery.
- Integrate hardware profiling capabilities into tooling and user workflows.
- Work independently from high-level requirements and make sound engineering decisions.
- Collaborate with architects, performance engineers, and other software teams to gather requirements and deliver solutions.
- Maintain and improve a large codebase with emphasis on quality and reliability.
Requirements
Must-have technical skills and experience; list separates required items from preferred items.
- Must-have: 3+ years writing production software in Python and C++.
- Must-have: Solid foundation in computer architecture and performance analysis.
- Must-have: Experience with parallel programming or accelerated computing.
- Must-have: History of building tools or infrastructure intended for other engineers, with attention to developer experience.
- Must-have: Familiarity with modern software engineering practices and AI-enabled development tooling.
- Nice-to-have: Contributions to open-source performance-analysis tooling.
- Nice-to-have: Experience as a user or creator of CPU/GPU profiling tools and GPU computing platforms.
- Nice-to-have: Background building software that exposes or leverages hardware capabilities.
- Nice-to-have: Familiarity with AI workloads and their performance characteristics.
Education Requirements
B.S., M.S., or Ph.D. in Computer Science, Computer Engineering, or a related field — or equivalent practical experience.
About the Company
Company: NVIDIA
Headquarters: Santa Clara, California, USA
NVIDIA is a global leader in accelerated computing, renowned for its innovative solutions in AI and digital twins that transform diverse industries. The company specializes in networking technologies, providing end-to-end InfiniBand and Ethernet solutions for servers and storage that optimize performance and scalability. NVIDIA serves sectors such as high-performance computing, enterprise data centers, and cloud computing, constantly reinventing its products and services to stay ahead in the market.
