Senior Systems Software Engineer, CUDA Driver
Salary not listed • India, Bengaluru • Full-time
Posted 19d ago
Remote Work Policy
On-site
Employment Type
Full-time
Categories
AI Infrastructure Engineer
About the job
NVIDIA is seeking software engineers to work on the CUDA driver for Tegra. CUDA is NVIDIA's platform for accelerating general-purpose computation on the GPU. Our team delivers features and improvements to realize the potential of NVIDIA hardware for a range of computational workloads, from deep learning and scientific computation to video games and virtual reality. CUDA defines a unified programming model across various system configurations and hardware capabilities. The CUDA driver interacts with GPU hardware, kernel mode drivers, user mode drivers, and the operating system. As a member of this team, you will use your design abilities, coding expertise, and creativity to deliver the best compute platform in the world, crafting elegant solutions and shaping the future direction of CUDA.
Responsibilities
- Architect and implement new features for the CUDA driver.
- Coordinate development efforts across multiple teams.
- Define improvements to CUDA APIs and the programming model.
- Write effective, maintainable, and well-tested code targeting Tegra devices.
- Integrate AI practices into development workflows.
Requirements
- BS or MS degree in Computer Science, Electrical Engineering, or related field (or equivalent experience).
- 8+ years of relevant industry experience or equivalent academic experience after BS.
- Strong C and C++ programming skills.
- Experience working with large codebases.
- Experience with operating system interfaces for threads, process control, and virtual memory.
- Experience writing and debugging multithreaded programs.
- Understanding of system-level architecture (interconnects, memory hierarchy, interrupts, memory-mapped IO).
- Strong interest in system software.
- Good written communication skills.