ImplementationMethodologyEngineer-GPU

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. **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. * Use NVIDIA implementation flows and EDA tool expertise to improve power, performance and area on NVIDIA's most critical designs * You will collaborate with logic designers, physical designers and EDA vendors 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). * 4+ years of experience in logic design implementation and/or physical design implementation * Deep understanding of logic optimization techniques and relative area, timing, and power trade-offs * Strong understanding of physical design implementation eg: physical synthesis, placement, routing, logic restructuring, etc. * Should be a power user of synthesis and/or place and route EDA tools from Synopsys (DC/FC), Cadence (Genus/Innovus) * Good debugging and problem-solving skills * Strong interpe