GPU Performance Profiling Engineer
$152k - $288k • Remote • US, TX, Austin
Posted 1d ago
Remote Work Policy
Fully remote
Categories
Machine Learning Engineer
About the job
Join the GPU Foundations Developer Tools team at NVIDIA and contribute to the development of groundbreaking performance analysis tools for GPUs and SoCs. You will innovate as you develop performance analysis capabilities for NVIDIA hardware, drivers, and SDKs, supporting current and future generations of GPUs. Your work will empower inventors worldwide to maximize the potential of our GPU hardware in their applications, directly impacting the performance profiling tools based on next-generation hardware that you help define.
Responsibilities
- Analyze hardware/software feature sets for next-generation GPU and SoC performance tools.
- Review next-generation chip features for high-quality developer tools support, ensuring observability of critical performance behaviors.
- Collaborate with developer tools engineers, software library developers, and GPU architects on new features.
- Prototype new data collection methods to improve GPU dev tools quality and reduce time/cost to market.
- Refine data collection with NVIDIA's GPU Architecture and Developer Technology teams.
Requirements
- B.S. in EE/CS (or equivalent experience) with 4+ years of experience, or MS with 2+ years' experience, or Ph.D.
- Demonstrated expertise in the software stack, including C/C++/Python applications and both user-mode and kernel-mode drivers.
- Proven knowledge of CPU and/or GPU architecture (e.g., x86, ARM CPUs, GPUs).
- Solid understanding of hardware pipeline concepts, with a willingness to work at a detailed implementation level.
- Knowledge of performance analysis concepts, particularly of GPU applications.
- Proficiency in hardware-software co-design principles and practices.
Benefits
- Equity
- Benefits