Senior Software CAD and Methodologies Engineer

3 Days ago • 10 Years + • Research & Development

Job Summary

Job Description

NVIDIA seeks a Senior Software CAD and Methodologies Engineer to develop physical design methodologies for networking chips and SOCs. Responsibilities include collaborating with block owners and project managers to ensure high-quality and timely project completion, devising innovative solutions for advanced physical design challenges, and providing horizontal support and planning for the CAD and Methodologies group. The ideal candidate possesses a strong background in physical design optimization, deep sub-micron processes, process variation effect modeling, and proven experience delivering designs to production. Proficiency in scripting languages (Python, Perl, Tcl, Make) is essential.
Must have:
  • B.SC./M.SC. in Electrical/Computer Engineering
  • 10+ years experience
  • Proficiency in Python, Perl, Tcl, Make
  • Expertise in crosstalk delay, noise glitch analysis
  • Physical design optimization knowledge (placement, routing, etc.)
  • Process variation effect modeling knowledge
  • Successful track record of delivering designs to production
Good to have:
  • Experience in methodology definition/flow ownership (synthesis/Place & Route/STA)
  • Self-motivation, attention to detail, excellent communication skills

Job Details

NVIDIA is looking for best-in-class Senior Physical Design CAD Engineer 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 physical design methodologies for networking chips and SOCs.

  • Work closely with block owners, project managers to assure high quality and timely convergence.

  • Come up with unique and creative solutions to the state of the art physical design problems that are needed for Our chips.

  • Additional responsibilities include horizontal activity support and planning for the CAD and Methodologies group.

What we need to see:

  • B.SC./ M.SC. in Electrical Engineering/Computer Engineering (or equivalent experience).

  • At least 10 years of experience

  • Proficiency using Python, Perl, Tcl, Make scripting.

  • Expertise in analyzing and converging crosstalk delay, noise glitch, and electrical/manufacturing rules in deep-sub micron processes.

  • Knowledge in physical design and optimization e.g. placement, routing, cell sizing, buffering, logic restructuring, etc. to improve timing and power required and implementing them through ECOs is required.

  • Knowledge in process variation effect modeling and experience in design convergence taking into account variations.

  • Successful track record of delivering designs to production is necessary.

  • Self-motivation, attention to detail, and good written, verbal, and presentation skills are critical to success in this role.

  • Great teammate, ownership, self-learning skills, and ability to work autonomously.

Ways to stand out from the crowd:

  • Experience in methodology definition / flow owner of synthesis / Place and Route/ STA steps is an advantage.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking people in the world working for us. Are you a creative and autonomous engineer who loves a challenge? Are you ready to become the engineer you always wanted to be? Come and be part of the best physical design team in the industry!

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About The Company

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.


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