Physical Design Backend Engineer

Posted Yesterday
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2 Locations
In-Office
Junior
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Design and implement physical backend of high-speed networking chips (RTL-to-GDS): synthesis, power/clock distribution, place-and-route, timing closure, power/noise analysis, verification, and flow development under tight PPA constraints.
Summary Generated by Built In

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:

  • Physical design of blocks according to specifications under challenging constraints targeting for the best power, area, and performance.
  • Be exposed and work on a variety of challenging designs (including high cell count and HS blocks). Resolving complex timing and congestion problems.
  • Daily work involves all aspects of physical design chip development (RTL2GDS) - synthesis, power and clock distribution, place and route, timing closure, power and noise analysis, and physical verification.
  • Taking part inflows development.

What we need to see:

  • B.SC./ M.SC. in Electrical Engineering/Computer Engineering or equivalent experience.
  • 2+ years of relevant experience.
  • Proven experience in RTL2GDS flows and methodologies.
  • Knowledge in physical design flows and methodologies (PNR, STA, physical verification).
  • Deep understanding of all aspects of Physical construction and Integration.
  • Knowledge in Physical Design Verification methodology LVS/DRC.
  • Familiarity with physical design EDA tools (such as Synopsys, Cadence, etc.).
  • Great teammate.

NVIDIA has 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!

Skills Required

  • B.Sc. or M.Sc. in Electrical Engineering, Computer Engineering, or equivalent experience
  • 2+ years of relevant physical design experience
  • Proven experience in RTL2GDS flows and methodologies
  • Knowledge of physical design flows and methodologies (PNR, STA, physical verification)
  • Deep understanding of physical construction and integration
  • Knowledge of physical design verification methodology (LVS/DRC)
  • Familiarity with physical design EDA tools (such as Synopsys, Cadence)
  • Strong teamwork and collaboration skills

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

NVIDIA Insights

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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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