Software Engineer, Hardware Tools And Methodology - New College Grad 2026
Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI
Algorithms @ 6
Deep Learning @ 6
GPU @ 6
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has also shown to be spectacularly effective at solving some of the most complex problems in computer science. Today, NVIDIA’s GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. We are looking to grow our company and teams with the smartest people in the world and there has never been a more exciting time to join our team!
The NVIDIA Clocks team is looking for a dedicated and motivated Software developer with particular interest in algorithms and RTL Design. Understanding both Software and Hardware principles will be a key requirement for this role.
Responsibilities
- Architect, design, develop and support tools for RTL generation across all NVIDIA products.
- Architect automated workflows for supporting deliverables to multiple cross functional teams.
- Improve algorithms (in C++) for automated connectivity, auto logic insertion and post processing Verilog RTL.
- Improve quality of existing tools and flows used by the team.
Requirements
- Master’s degree or higher in Computer Engineer or Electrical Engineering (or equivalent experience).
- Coding skills in C++.
- Good understanding of ASIC Design and understanding of Verilog RTL.
- Experience working across multi-functional teams.
Benefits
- Eligible for equity and benefits.