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# Principal Engineer, CUDA UMD - GPU Kernel Scheduling

- **Company:** NVIDIA Corporation
- **Location:** Santa Clara, CA, United States
- **Experience:** Expert
- **Salary:** $272,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Computing Platforms, C++ (Programming Language), Nvidia CUDA, Computer Programming, Software Debugging, Linux, Device Drivers, Video Game Development, Scientific Computating, Software Engineering, System Software, Virtual Memory, Multithreading, Graphics Processing Unit (GPU), Virtual Reality, Deep Learning, Parallel Computation, Information Technology
- **Published:** August 28, 2026
- **Apply:** https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Principal-Engineer--CUDA-UMD---Kernel-Scheduling_JR2014055

## About the Role

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., * BS or MS degree in Computer Science, Electrical Engineering or related field (or equivalent experience)

 * Strong C and C++ programming skills
 * Minimum of 15+ 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

Ways to stand out from the crowd:

 * Prior experience with parallel computing - preferably writing CUDA Programs or Libraries that use CUDA
 * 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 Systems Software development as well as experience maintaining and extending programming models or higher-level language support for similar environments

## Description

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 features
 * Coordinate and drive development efforts across multiple teams
 * Help define forward-looking improvements to the CUDA APIs and programming model
 * Extend important CUDA programming models and functionality such as CUDA Graphs
 * Explore 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 code
 * Develop code for multiple operating systems


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