Design Verification Engineer (RDSS Intern)
NVIDIA is hiring a Design Verification Engineer (RDSS Intern). Level rates it ; you can apply on NVIDIA.
Level's read on this job
- On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
- Tools and skills the posting cites include SystemVerilog, UVM and AI agents.
- Level classifies it as an internship.
- Level lists 2,700+ other open roles at NVIDIA.
AI in this role
Perform design verification for multimedia IPs in GPU and SoC chips as an engineering intern.
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 for the role.
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
For more than 25 years, NVIDIA has driven progress in computer graphics, PC gaming, and accelerated computing. Our legacy is built on outstanding technology and people. Currently, we are using AI to develop the future of computing. Our GPUs serve as the brains of computers, robots, and autonomous vehicles. Joining our SOC/IP team in Taiwan, you will work on SoC projects and IP development, playing a key role in advancing technology.
We are looking for a Design Verification Engineer (RDSS Intern) to join our Multimedia IP team in Taiwan. You'll work on the development and verification of the latest multimedia IP in our GPU and SoC chips. In this role, you'll gain hands-on experience in the full design verification flow, including developing verification environments and verification plans, creating and debugging test cases, building checkers and coverage, running regressions, and analyzing functional and code coverage. You'll work closely with design and architecture teams to understand specifications, identify corner cases, debug RTL issues, and ensure high-quality IP through comprehensive verification. You'll also have opportunities to work with industry-standard verification methodologies and technologies such as SystemVerilog, UVM, assertions, functional coverage, and simulation-based verification. In this position, you'll make a real impact in a dynamic, technology-focused company while contributing to our world-class GPU and SoC technologies.
What you'll be doing:
Collaborate closely with Architect, SOC, and IP teams to define the scope of verification.
Engage in meticulous test planning to ensure flawless execution.
Apply C/SV/UVM methodologies to verify builds at both block and full chip levels.
Contribute to the development of world-class verification strategies and processes.
Determine and solve complex verification challenges to compete in a fast-paced industry.
Work in a dynamic and inclusive environment, driving ambitious projects to successful implementation.
What we need to see:
Master's Degree in Electrical Engineering (EE), Computer Science (CS), or Computer Engineering (CE) or equivalent work experience.
Proficiency in Object-Oriented Programming (OOP).
Proficiency with AI Agent and AI-enabled automation workflows.
Fundamental knowledge of digital build principles.
Strong analytical and problem-solving skills.
Ability to strictly adhere to verification protocols and methodologies.
Excellent communication and teamwork abilities.
Ways to stand out from the crowd:
Hands-on experience in building or integrating AI agents to automate and improve engineering workflows, such as code generation, debugging, verification, or data analysis.
Experience in writing C++/SystemC models.
Proficient scripting skills in Python, Perl, TCL, Make, and shell.
Demonstrated experience in successfully implementing complex verification strategies.
Proven track record of competing in high-stakes engineering projects.
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
How we rate this
Design Verification Engineer (RDSS Intern) at NVIDIA rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Tell me about a project where design verification was part of your work. What did you do?
- Tell me about a project where rtl debugging was part of your work. What did you do?
- Tell me about a project where functional coverage was part of your work. What did you do?
- Tell me about a project where soc was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI agents, Design Verification, Rtl Debugging, Functional Coverage, and Soc. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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