Implementation Methodology Engineer

What you’ll be doing: You will be responsible for all aspects of front-end design implementation methodologies (synthesis, formal-equivalence-checking), flow automation and application support. Develop in house solutions to improve NVIDIA's workflows. You will collaborate with logic designers, physical designers to solve exciting implementation issues and develop new solutions. Provide support for EDA tools and flows. What we need to see: BS or MS in Electrical Engineering, Computer Engineering, or related fields (or equivalent experience). 5+ years of experience in logic design implementation and/or physical design implementation. Strong automation skills. Good understanding of physical design implementation e.g. physical synthesis, placement, routing, logic restructuring, etc. Good debugging and problem-solving skills. Strong interpersonal skills along with the ability to work in a dynamic team. Ways to stand out from the crowd: Prior experience in implementation methodology. Proficiency in Python, Tcl, Java, C++ scripting. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most experienced and dedicated people in the world working for us. Are you creative and autonomous? Do you love the challenge of constant innovation and creating the highest performance products in the industry? If so, we want to hear from you. Come, join NVIDIA VLSI team and help build the real-time, cost-effective computing platform driving our success across multiple fields such as Deep Learning and AI, Robotics and Autonomous Driving, Gaming and High Performance Computing. Your base salary will be determined based based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 218,500 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until May 31, 2026. 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. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. NVIDIA uses AI tools in its recruiting processes. NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA. #J-18808-Ljbffr NVIDIA