CUDA Compute Systems Software Engineer

NVIDIA is seeking world-class software engineers to join the System Software for CUDA Compute driver team. This team develops and supports NVIDIA's kernel level drivers for CUDA, focusing on AI, Cloud, and Data Center product lines. The role involves working on software design for next-generation Compute GPU solutions, including kernel drivers and embedded software for Data Center products.

Key responsibilities include:

• Designing kernel drivers and embedded software for Data Center products
• Developing and maintaining SW technologies for GPU hardware on Linux and Windows
• Implementing cross-platform solutions and supporting new HW architectures
• Working on features such as clocks, thermal and power, telemetry, device initialization, memory management, performance optimization, and device management

The ideal candidate will have:

• B.S. or M.S. in Computer Science, Computer Engineering, or Electrical Engineering (or equivalent experience)
• 2+ years of hands-on experience developing low-level device drivers, especially for Linux OS
• Strong software engineering skills and motivation to solve complex problems
• Proficiency in C and C++ programming
• Detailed knowledge of operating system internals and device driver models
• Strong English communication skills
• Self-motivation and ability to work both independently and in a team environment

This role offers a dynamic work environment, collaborating with various internal teams worldwide on software, hardware, architecture, and OEM support. It provides opportunities for growth and a rich engineering experience in a rapidly evolving field.

The base salary range is $120,000 - $189,750 USD, with additional equity and benefits. NVIDIA values diversity and is an equal opportunity employer, committed to fostering an inclusive work environment.