ASIC Verification Engineer - GPU
NVIDIAJob Title
ASIC Verification Engineer - GPU
Role Summary
The ASIC Verification Engineer will verify the design and implementation of GPU/SoC processor elements, develop verification infrastructure, and execute verification plans across unit and system levels. The role works with architects, RTL designers, and pre/post-silicon teams to ensure correctness of GPU ASIC designs used in graphics, automotive, and AI products.
Experience Level
Entry-level (2+ years of relevant experience)
Responsibilities
Primary responsibilities include:
- Define verification scope and develop verification plans for GPU ASIC units.
- Design, build, and maintain testbench infrastructure using modern methodologies (for example UVM).
- Create and run random stimulus, functional coverage, and assertion-based tests.
- Verify architecture, micro-architecture, golden models, and RTL implementation at unit and system levels.
- Use simulation and debug tools to isolate, analyze, and resolve issues.
- Collaborate with architects, designers, and pre- and post-silicon teams to close verification gaps.
Requirements
Must-have skills and experience:
- 2+ years of relevant ASIC verification experience.
- Experience with random stimulus, functional coverage, and assertion-based verification methodologies.
- Strong SystemVerilog or similar hardware verification language expertise.
- Experience building testbench environments for unit and system level verification.
- Proficiency in C/C++ programming.
- Familiarity with RTL simulation and debug tools (VCS or equivalent, Verdi, GDB).
Nice-to-have:
- Prior processor verification experience (instruction pipelines, caches).
- Expert-level debugging and analytical skills; strong communication and teamwork.
Education Requirements
Bachelor's degree in Electrical Engineering, Computer Science, or Computer Engineering - or equivalent practical experience.
About the Company
Company: NVIDIA
Headquarters: Santa Clara, California, USA
NVIDIA is a global leader in accelerated computing, renowned for its innovative solutions in AI and digital twins that transform diverse industries. The company specializes in networking technologies, providing end-to-end InfiniBand and Ethernet solutions for servers and storage that optimize performance and scalability. NVIDIA serves sectors such as high-performance computing, enterprise data centers, and cloud computing, constantly reinventing its products and services to stay ahead in the market.
