Implementation Methodology Engineer - GPU
About the role
NVIDIA is looking for an Implementation Methodology Engineer to join the VLSI team. This is a challenging and exciting role for a self-starter who loves to collaborate and find solutions to hard technical problems. NVIDIA has reinvented itself over two decades—our invention of the GPU in 1999 fueled PC gaming, redefined computer graphics, and revolutionized parallel computing. Today, GPU deep learning ignites modern AI, the next era of computing. We are a "learning machine" that constantly evolves, taking on 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.
What You'll Be Doing
- 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
- Collaborate with logic designers, physical designers, and EDA vendors to solve 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, e.g., physical synthesis, placement, routing, logic restructuring, etc.
- 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 interpersonal skills along with the ability to work in a dynamic team
Ways To Stand Out From The Crowd
- Prior experience in physical implementation
- Proficiency in Python, Tcl, Make scripting
Pay
Base salary range is 136,000 USD – 218,500 USD for Level 3, and 168,000 USD – 264,500 USD for Level 4, determined based on location, experience, and pay of employees in similar positions. You will also be eligible for equity and benefits.