Senior Software Engineer - CUDA Driver
NVIDIA · Santa Clara, United States
About this role
NVIDIA is seeking outstanding senior engineers to work on the CUDA driver, a key component of accelerated GPU computing. You will join a versatile software engineering team that delivers innovative software features to unlock the full potential and performance of NVIDIA hardware across diverse workloads like deep learning, scientific research, autonomous vehicles, gaming, and virtual reality. This multi-functional role requires collaboration with hardware architects, deep learning specialists, and both internal and external partners to advance the CUDA architecture
With the opportunity to collaborate with teams across the whole NVIDIA computing stack, you will help design software solutions across kernel mode components, compilers, and networking software. Your system-level expertise and creativity in solving complex problems will help invent the future of CUDA and NVIDIA’s compute technologies! Does crafting solutions to influence the evolution of GPU-accelerated computing sound exciting? If so, we invite you to join us and help engineer the next wave of innovation at NVIDIA! What you'll be doing: Evangelize, architect, and implement new CUDA features Coordinate and drive development efforts across multiple teams Collaborate with members of hardware architecture teams Define forward-looking improvements to the CUDA APIs and programming model Build and maintain performance and precision modeling Write effective, maintainable, and well-tested code Develop code for multiple operating systems What we need to see: Bachelor of Science or Master of Science degree in Computer Science, Electrical Engineering, or related field (or equivalent experience) 5+ years of relevant experience in developing systems software Strong C programming skills Experience designing, debugging, and maintaining complex software stacks Experience with operating system interfaces for threads, process control, and virtual memory Experience with HW/SW co-design, performance modeling using emulation
Apply for this role on NVIDIA’s official careers site.