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Implementation Methodology Engineer

$136k - $218.5k

Nvidia Corporation

We are looking for an Implementation Methodology Engineer to join NVIDIA VLSI team. 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 eg: 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. 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 - 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 19, 2026. 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. #J-18808-Ljbffr Nvidia Corporation

Vacancy posted 13 hours ago
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