Design Verification Engineer Intern
NVIDIA
Design Verification Engineer Intern
NVIDIA
Designs the chips and software that power AI
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/
NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.
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