Senior Software Engineer - CUDA and Unified Memory
$184k - $357k • US, CA, Santa Clara
Posted 1mo ago
Job Location
US, CA, Santa Clara
Tech Stack
Remote Work Policy
On-site
Categories
AI Infrastructure Engineer
About the job
We are hiring software engineers to work on the CUDA driver, a core component of our platform for accelerating general-purpose computation on the GPU. Our team delivers features and improvements to better realize the potential of NVIDIA hardware for a growing range of computational workloads, ranging from deep learning, scientific computation, and self-driving cars to video games and virtual reality. CUDA defines a unified programming model across a range of system configurations and hardware capabilities. To accomplish this, the CUDA driver interacts with GPU hardware, kernel mode drivers, and the operating system. Unified Memory kernel driver provides kernel memory management that enables these advanced features. As a member of our team, you will apply your design, coding expertise, and creativity, and to collaborate with peers across NVIDIA to deliver upon the best compute platform in the world. You will craft sophisticated solutions to exciting problems shaping the future direction of CUDA!
Responsibilities
- Architect and implement new features for new chips and kernel features
- Coordinate with other teams to accomplish work
- Define forward-looking improvements to CUDA APIs and programming models
- Write effective, maintainable, and well-tested kernel and userspace code
- Develop code for multiple Linux operating systems
Requirements
- BS or MS degree in Computer Science, Electrical Engineering or related field (or equivalent experience)
- Strong C programming skills
- Minimum of 10+ years of related development experience
- Experience working with large codebases
- Background with operating system interfaces for threads, process control, and virtual memory
- Experience writing and debugging multithreaded programs
- Good written communication skills
Benefits
- Equity
- Benefits
