Senior Software Engineer CUDA UMD - GPU Kernel Scheduling

NVIDIA Corporation; Santa Clara (CA); On-site; USD 152,000 - 288,000; Full time

Job summary

NVIDIA Corporation in California seeks a seasoned system software engineer to work on the CUDA Driver, a core component for accelerating general purpose computation on the GPU. You will craft elegant solutions and shape CUDA's future, collaborating with peers across NVIDIA.

The role requires strong C/C++ skills, 4+ years, and experience with multithreaded programming, OS interfaces, and kernel-mode development.

Qualifications

• BS or MS in Computer Science, Electrical Engineering or related field (or equivalent experience).
• Strong C and C++ programming skills.
• Experience with multithreaded programming and OS interfaces.
• Experience with Linux systems software development is a plus.

Responsibilities

• Evangelize, architect, and implement new features.
• Coordinate and drive development across multiple teams.
• Define improvements to CUDA APIs and programming model.
• Extend CUDA programming models and functionality such as CUDA Graphs.
• Explore Graphs to improve scheduling of AI/ML workloads on GPUs.
• Write effective, maintainable, and well-tested code.
• Develop code for multiple operating systems.

Skills

C/C++

Multithreaded programming

Linux systems

CUDA

Kernel mode

Education

BS/MS in CS/EE

Equivalent experience

Tools

Linux

Job description

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 who has phenomenal C/C++ skills? 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.What you'll be doing:As a member of our team, you will use your design abilities, coding expertise, and creativity to deliver the best compute platform in the world. You will craft elegant solutions to exciting problems and shape the future direction of CUDA as you collaborate with your peers across NVIDIA.Evangelize, architect, and implement new featuresCoordinate and drive development efforts across multiple teamsHelp define forward-looking improvements to the CUDA APIs and programming modelExtend important CUDA programming models and functionality such as CUDA GraphsExplore ways to use Graphs to improve the scheduling of AI/ML workloads on our GPUS to be more efficient and faster.Write effective, maintainable, and well-tested codeDevelop code for multiple operating systemsWhat we need to see:BS or MS degree in Computer Science, Electrical Engineering or related field (or equivalent experience)Strong C and C++ programming skillsMinimum of 4 years of related development experience (multiple positions for varying experience levels open)Experience driving projects across multiple teamsExperience working with large codebasesBackground with operating system interfaces for threads, process control, and virtual memoryUnderstanding of system level architecture, such as interconnects, memory hierarchy, interrupts, and memory-mapped IOExperience writing and debugging multithreaded programsGood written communication as well as presentation skillsWays to stand out from the crowd:Prior experience with parallel computing - preferably writing CUDA Programs or Libraries that use CUDAKnowledge of memory coherence and consistency modelsBackground with kernel mode developmentExperience with Linux Systems Software developmentExperience maintaining and extending programming models or higher-level language support for similar environmentsYour base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.You will also be eligible for equity and benefits.Applications for this job will be accepted at least until September 5, 2026.This posting is for an existing vacancy.NVIDIA uses AI tools in its recruiting processes.NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.