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.What youll be doing:<ul><li>Work within a multi-functional team on various projects involving Pre-silicon and Post Silicon custom circuit design and related data, Circuit/Layout Optimization and Spice correlation</li><li>Work on projects with applications ranging from analysis of silicon data, manufacturing process variation analysis, VLSI circuit design and timing etc.</li><li>Responsible for translating the requirements into a data science problem, architect and build solutions.</li><li>In charge for testing and release of models that integrate with existing machine learning and visualization tools within the organization.</li><li>Responsible for analyzing the datasets, raise and validate hypotheses, extract relevant features and build models on top of them.</li><li>Optimize the models and algorithms until they reach the desired QOR.</li></ul>What we need to see:<ul><li>MS with 3+ years experience or PhD with 1+ years experience in Electrical/Computer Engineering</li><li>Experience with VLSI, Circuit Design, CMOS Device Physics, Timing, ASIC, EDA is a strict requirement for this role</li><li>Experience in Applied Math/ML/Software programming with proven ability in writing code in Python and C++ is required</li><li>Prior experience in CMOS layout drawing, including schematic-to-layout translation and DRC/LVS compliance, is a definite plus</li><li>Experience with ML/DL algorithms with frameworks such as TensorFlow, PyTorch, Spark is a plus</li></ul>Ways to stand out from the crowd:<ul><li>Enjoy working with multiple levels and teams across organizations (engineering/research, product, sales and marketing teams)</li><li>Effective verbal/written communication, and technical presentation skills</li><li>Self-starter with passion for growth, real enthusiasm for continuous learning and sharing findings across the team</li></ul>NVIDIA is a pioneer in bringing groundbreaking technology to new markets. We have some of the most forward-thinking and hardworking people in the world working with us. If youre creative and autonomous, 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 September 1, 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.