Senior Full Chip Layout and Physical Verification CAD Engineer

NVIDIA is looking for best-in-class Physical Design Engineers to join our outstanding Networking Silicon engineering team, developing the industry's best high-speed communication devices, delivering the highest throughput and lowest latency! Come and take a part in designing our groundbreaking and innovating chips, enjoy working in a meaningful, growing and highly professional environment where you make a significant impact in a technology-focused company.

What You'll Be Doing

• You will be in charge of developing full-chip physical design methodologies, Physical Verification development and support through all the projects, Tapeout activities for implementation of networking chips and SOCs.
• Work closely with Full Chip Layout owners and block owners, project managers to assure high quality and timely convergence.
• Come up with unique and creative solutions to the state of the art FCL physical design problems that are needed for our chips.
• We expect you to run, debug, and approve Physical Verification flows across multiple projects, ensuring strict adherence to our high standards.
• Participating and developing flow and tool methodologies for fullchip, physical design verification across multiple projects.
  
  

• B.SC./ M.SC. in Electrical Engineering/Computer Engineering (or equivalent experience).
• You should have at least 5+ years of hands-on Full-chip layout and Physical Verification experience, demonstrating your proven expertise.
• A strong background in Physical Verification methodology, including DRC / LVS / ANT / ERC / DFM in advanced process nodes is necessary.
• Proficiency using Python, Tcl, Shell, Make scripting.
• Experience in Linux environments.
• AI tools orientation or alternatively a desire to learn.
• Familiarity with physical build EDA tools, including Synopsys (ICC2/FC) and Cadence (Innovus).
• Familiarity with Physical Verification tools: Synopsys (ICV), Siemens (Calibre)
• Self-motivation, attention to detail, and good interpersonal skills.
  
  

• Experience with data collection and analysis
• Experience in methodology definition / flow owner of Full-chip / Place and Route
• Great teammate.
• Ownership, self-learning skills, and ability to work autonomously.