By submitting your resume, you’re expressing interest in our 2026 RDSS (Research and Development Substitute Services) program. Please confirm your eligibility with the local district office before applying the role.
We are now looking for VLSI Physical Design Engineer (RDSS Intern) in Taiwan, Hsinchu Office. We utilize latest process technology, advanced EDA tools, and sophisticated design methodology. We always work on the most challenging designs, and push for performance limit.
What you will be doing:
Responsible for all aspects of physical design (Netlist to GDSII & Flow development) of all chips at NVIDIA. (including GeForce/Tegra/Tesla/Quadro)
Work on floorplan(from top level to block level)
Power/clock distribution
Placement, routing (from top level to block level)
Timing/power/noise/DFM optimization and analysis
Chip assembly, and physical verification
Flow automation, regression testing
Work with EDA vendors on tool evaluation and improvement
Develop inhouse tools and solutions
What we need to see:
MS in Microelectronics, EE, CS, or related major
Courses taken in IC design or digital circuit design
Knowledge of chip design, Place&Route
Ways to stand out from the crowd:
Project experience in IC design or ASIC design
Hands-on experience in EDA tools (Place&Route, physical design, timing analysis, circuit simulation or layout)
Familiar with Perl/Python/Tcl/Shell scripting
With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the most desirable employers in the world. We have some of the most brilliant and talented people in the world working for us. If you are creative, autonomous and love a challenge, we want to hear from you. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”









