Implementation Methodology Engineer

NVIDIA•Santa Clara, CA

11d•$136,000 - $264,500

About The Position

We are looking for an Implementation Methodology Engineer to join NVIDIA VLSI team. If you are looking for a challenging and exciting role and you are a self-starter and highly motivated individual who loves to collaborate and find solutions to hard technical problems, join us today! NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 fueled 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. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to pursue, that only we can tackle, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. Make the choice to join us today.

Requirements

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

Nice To Haves

Prior experience in implementation methodology
Proficiency in Python, Tcl, Java, C++ scripting

Responsibilities

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.
Collaborate with logic designers, physical designers to solve exciting implementation issues and develop new solutions.
Provide support for EDA tools and flows.