Description
We are looking for an Implementation Methodology Engineer to join our VLSI team. As an Implementation Methodology Engineer, you will be responsible for all aspects of front-end design implementation methodologies, including synthesis, formal-equivalence-checking, flow automation, and application support. You will 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. You will provide support for EDA tools and flows.
To be successful in this role, you will need a BS or MS in Electrical Engineering, Computer Engineering, or related fields, or equivalent experience. You will also need 4+ years of experience in logic design implementation and/or physical design implementation. You should have a deep understanding of logic optimization techniques and relative area, timing, and power trade-offs. You should also be a power user of synthesis and/or place and route EDA tools from Synopsys (DC/FC), Cadence (Genus/Innovus).
If you have prior experience in physical implementation, proficiency in Python, Tcl, Make scripting, and strong interpersonal skills, you will be well-suited for this role. You will also be eligible for equity and benefits.