By submitting your resume, you’re expressing interest in our 2027 RDSS (Research and Development Substitute Services) program. Please confirm your eligibility with the local district office before applying the role.
NVIDIA’s invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern deep learning — 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. Today, we are increasingly known as “the AI computing company.” We're looking to grow our company and establish teams with the most thoughtful people in the world. Are you ready to change the next generation of computing? Join us at the forefront of technological advancement.
What you’ll be doing:
- Support Client UEFI debug and analysis tools, release workflows, and development infrastructure.
- Help improve automation used in firmware debugging, issue investigation, and engineering productivity.
- Work with engineers on UEFI development flows, builds, testing, and validation.
- Assist with troubleshooting boot, configuration, and firmware behavior issues in low-level software environments.
- Contribute scripts or small tools that streamline common UEFI engineering tasks.
- Collaborate with cross-functional teams working on firmware, validation, and platform bring-up.
What we need to see:
- Pursuing a BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
- Strong programming skills in C/C++; Python is a plus.
- Interest in firmware, boot flows, BIOS / UEFI, or other low-level system software.
- Familiarity with Linux development or debugging environments.
- Strong problem-solving ability and clear communication skills.
Ways to stand out from the crowd:
- Experience with UEFI, BIOS, bootloaders, or embedded firmware projects.
- Coursework or projects in computer architecture, operating systems, or low-level programming.
- Experience writing debug or automation tools in Python or C/C++.
- Familiarity with firmware build, test, or validation workflows.
- Exposure to platform bring-up, hardware/software integration, or systems debugging.