Senior Physical Design Engineer

Reposted Yesterday
Be an Early Applicant
2 Locations
In-Office
136K-265K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Responsible for physical design and implementation of GPU and ASICs, including methodologies, flow automation, timing closure, and verification processes.
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.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 218,500 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until January 31, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

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

Cadence Innovus
Cadence Seahawk
Cadence Tempus
Ir Drop Analysis
Make
Mentor Graphics
P&R
Perl
Physical Verification
Python
Synopsys Dc
Synopsys Icc2
Synopsys Icv
Synopsys Pt
Synopsys Star-Rc
Tcl
Timing Analysis
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The Company
HQ: Santa Clara, CA
21,960 Employees
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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