About The Position
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. We're looking to grow our company, and form teams with the smartest people in the world. Join us at the forefront of technological advancement. Are you a motivated system software engineer with a deep understanding of device drivers, memory coherency & consistency models, phenomenal C/C++ skills, and an interest in multi-node scalability? If so, this role might be for you. We are looking for a seasoned software professional to work on the CUDA Driver, a core component of our platform for accelerating general purpose computation on the GPU. You will be an integral part of a team that 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, data science and self-driving cars to video games and virtual reality.
Requirements
- BS or MS degree in Computer Science, Electrical Engineering or related field (or equivalent experience)
- Strong C and C++ programming skills
- Minimum of 8 years of related development experience (multiple positions for varying experience levels open)
- Experience driving projects across multiple teams
- 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 as well as presentation skills
Nice To Haves
- Prior experience with parallel computing, PyTorch, low-latency AI inference
- Understanding of system level architecture, such as interconnects, memory hierarchy, interrupts, and memory-mapped IO
- Knowledge of memory coherence and consistency models
- Background with kernel mode development
- Experience with Linux, or Windows Systems Software development
Responsibilities
- Evangelize, architect, and implement new features related to CUDA’s memory model and multi-node scalability geared towards next-gen AI applications and deployments
- Coordinate and drive development efforts across multiple teams
- Help define forward-looking improvements to the CUDA APIs and programming model
- Write effective, maintainable, and well-tested code
- Develop code for multiple operating systems
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
