Senior Physical Design Engineer

Posted 6 Days Ago
Be an Early Applicant
Santa Clara, CA
Senior level
Artificial Intelligence • Hardware • Robotics • Software • Metaverse
The Role
The Senior Physical Design Engineer is responsible for the physical design and implementation of GPU and ASICs. Responsibilities include establishing design methodologies, flow automation, timing closure, power/clock distribution, and performing various analyses such as static timing and power noise analysis. A strong background in VLSI physical design is required, along with proficiency in multiple CAD tools.
Summary Generated by Built In

We are now looking for a Senior Physical Design Engineer. NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked 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 solve, that only we can tackle, and that matter to the world. This is our life’s work, to amplify human imagination and intelligence. Make the choice to join our diverse team today.

What you'll be doing:

  • Responsible for all aspects of physical design and implementation of GPU and other ASICs targeted at the desktop, laptop, workstation, and mobile markets.

  • As a member of a team, we will all participate in establishing physical design methodologies, flow automation, chip floorplan, power/clock distribution, chip assembly and P&R, timing closure.

  • Craft designs for static timing analysis, power and noise analysis and back-end verification.

What we need to see:

  • BSEE (MSEE preferred) or equivalent experience.

  • 5+ years of experience in large VLSI physical design implementation on 5nm, 4nm and 3nm technology.

  • Your successful track record of delivering designs to production is a requirement.

  • Shown experience in the following areas: Power, Performance and Area improvement Initiatives is a plus.

  • Already a validated strong power user of P&R, Timing analysis, Physical Verification and IR Drop Analysis CAD tools from Synopsys (ICC2/DC/PT/STAR-RC/ICV),Cadence (Innovus, Tempus, SeaHawk ) and Mentor Graphics.

  • Deep understanding of custom macro blocks such as RAMs, CAMs, high-speed IO drivers, PLLs.

  • Confirmed prior experience in timing closure, clock/power distribution and analysis, RC extraction and correlation, place/ route and tapeout solutions.

  • To be successful you should possess strong analytical and debugging skills required.

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

NVIDIA is widely considered to be the leader of AI computing, and one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you.

The base salary range is 128,000 USD - 258,750 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Top Skills

Perl
Python
Tcl
The Company
HQ: Santa Clara, CA
21,960 Employees
On-site Workplace
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked 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 — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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