Today, we are tapping into the unlimited potential of AI to define the next era of computing. An era in which NVIDIA’s GPUs act as the brains of computers, robots, and self-driving cars that can understand the world. Doing what has never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you will be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. Come join our dynamic team and see how you can make a lasting impact on the world!We are currently looking for a Sr VLSI Physical Verification Methodology Engineer.What youll be doing:<ul><li>Responsible for support and debug of physical implementation GPU and SOC reticle-sized chips, coordinating with the PNR team to achieve SOL tape-out – including feedback recognition and correlation.</li><li>Determining physical verification methodologies to improve workflow efficiency and timely issue detection. Integrate new workflows and checks into larger workflow automation systems.</li><li>Participate in developing physical verification flows for new technologies - DRC, LVS, Antenna flows - improving automation and expert workflows.</li><li>TSMC A16 rules and tape-out experience is preferred.</li></ul>What we need to see:<ul><li>BS/MS in Electrical Engineering or related field (or equivalent experience)</li><li>Minimum 4+ years of physical implementation experience with 4+ years in physical verification build and debug (can run concurrently).</li><li>Familiar with aspects of chip design including Floor planning, Clock and Power distribution, Place and Route, Integration and Verification.</li><li>Strong knowledge and experience with Physical Verification debug of shorts/compare results across DRC/LVS/Antenna related issues in both PV signoff tools as well as EDA implementation tools (ICC2/Innovus/other)</li><li>Direct experience with ICV and Calibre runsets for physical verification of DRC/LVS/Antenna.</li><li>Good scripting skills in Python/Perl or other related automation languages.</li></ul>Ways to stand out from the crowd:<ul><li>Exposure to Virtuoso or ICWeb platforms , AI application to PV analysis or workflows, workflow automation experience.</li><li>Proficient in writing DRC/LVS rules, including advanced checks tailored to specific design requirements for ICV and CALIBRE tools.</li><li>Understanding of AI Chat and/or Agentive systems applied in the PV domain.</li></ul>NVIDIA is widely considered to be one of the technology world’s most desirable employers, and due to outstanding success, our teams are rapidly growing. Are you passionate about joining a best-in-class team driving the latest in EDA, GPU, and AI technology? If so, we want to hear from you!Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 212,750 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4.<div><div><div><div><div><div><div>You will also be eligible for equity and <a href="https://www.nvidia.com/en-us/benefits/" target="_blank">benefits</a>.</div></div></div></div></div></div></div>Applications for this job will be accepted at least until November 8, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.