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
Communication @ 6
Debugging @ 6
GPU @ 3
Perl @ 3
Python @ 3
- 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
We are now looking for a GPU Verification Engineer - New College Grad 2026.
NVIDIA is seeking best-in-class ASIC Verification Engineers to verify the world’s leading GPUs. This position offers the opportunity to have real impact in a progressive, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence.
Responsibilities
- As a member of the GPU verification team, you will be responsible for verifying the ASIC design, architecture and micro-architecture of NVIDIA GPUs and SoCs using sophisticated verification methodologies.
- You are encouraged to understand the design and its implementation, define the verification scope, develop the test plans and coordinate tasks within the GPU verification teams.
- Design and develop test generators that will verify and validate the CPU and GPU interactions, memory coherency and consistency.
- Develop the verification infrastructure using state of the art verification methodologies and tools.
- Collaborate with architects, designers, pre- and post-silicon verification teams to accomplish your tasks.
Requirements
- A Bachelor’s Degree (or equivalent experience) in Electrical Engineering, Computer Engineering or Computer Science
- Experience with C/C++ and automate/write scripts in Perl/Python/shell.
- Your work displays a passion for debugging and highlights your strong problem solving abilities.
- Background in computer architecture and memory models is needed.
- Exposure to design and verification tools (VCS, emulation, FPGA, debug tools) is a plus.
- Strong communication and interpersonal skills are required along with the ability to operate in a dynamic and distributed team.
Benefits
- With competitive salaries and a generous benefits package.
- You will also be eligible for equity and benefits.
More jobs at Nvidia
Senior Software Engineer, Linux Platform
Nvidia · United States
USD 168,000-270,200 per year
Technical Marketing Engineer
Nvidia · Santa Clara, United States
USD 136,000-253,000 per year
Senior Developer Technology Engineer - Agentic SoC Performance
Nvidia · Santa Clara, United States
USD 152,000-287,500 per year
Principal Engineer - Enterprise Content and AI Data Platform
Nvidia · Santa Clara, United States
USD 248,000-391,000 per year
Senior Technical Program Manager, NVIDIA Metropolis
Nvidia · Santa Clara, United States
USD 168,000-322,000 per year
Similar jobs
Developer Tools DevOps Engineer
Nvidia · Santa Clara, United States
USD 148,000-276,000 per year
Senior GPU Functional Modeling Architect
Nvidia · Santa Clara, United States
USD 152,000-287,500 per year
Senior Site Reliability Engineer - HPC
Nvidia · Santa Clara, United States
USD 152,000-287,500 per year
Platform Security Engineer, OpenBMC
Anthropic · San Francisco, United States, New York City, United States, Seattle, United States
USD 320,000-405,000 per year
Staff+ Software Engineer, Inference Runtime
Anthropic · San Francisco, United States, New York City, United States, Seattle, United States
USD 405,000-485,000 per year
ML Systems Engineer, Large-Scale Model Training & RL Infrastructure
Nebius · Palo Alto, United States
USD 195,200-262,200 per year
Senior Developer Technology Engineer - Edge Agentic Ai
Nvidia · Santa Clara, United States
USD 152,000-287,500 per year
System Software Engineer, Dynamo-Triton Inference Server - New College Grad 2026
Nvidia · Santa Clara, United States
USD 124,000-241,500 per year