# Principal Engineer, CUDA UMD - GPU Kernel Scheduling

Hiring organization: [NVIDIA](https://career.thegoodapps.co/organizations/nvidia)

Canonical page: https://career.thegoodapps.co/jobs/7683a404-6db3-44d5-876d-94a95430f8be

Listed on NVIDIA's own careers site. Applications go to them directly.

- Seniority: Principal
- Location: Santa Clara, CA
- Salary: 272000 – 431250 USD per year

## Summary

A principal-level systems software engineer role focused on designing and implementing core GPU kernel scheduling features within NVIDIA's CUDA Driver platform. This position suits experienced C/C++ developers with deep OS-level knowledge who want to shape the software foundation enabling AI, scientific computing, and graphics workloads on NVIDIA hardware.

_Our summary, not NVIDIA's wording._

## Skills named

C++, CUDA, Linux

## Required

- BS or MS in Computer Science, Electrical Engineering, or related field (or equivalent experience)
- Strong C and C++ programming skills
- 15+ years of related development experience
- Experience driving projects across multiple teams
- Experience with large codebases
- Knowledge of OS interfaces for threads, process control, and virtual memory
- Experience writing and debugging multithreaded programs
- Written communication and presentation skills

## Nice to have

- Prior experience with parallel computing or writing CUDA programs/libraries
- Understanding of system-level architecture (interconnects, memory hierarchy, interrupts, memory-mapped IO)
- Knowledge of memory coherence and consistency models
- Kernel mode development background
- Linux systems software development experience
- Experience maintaining and extending programming models or language support

Apply on NVIDIA's site: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Principal-Engineer--CUDA-UMD---Kernel-Scheduling_JR2014055