Full-Time

Senior Physical Design Engineer

NVIDIA

NVIDIA

10,001+ employees

Designs GPUs and AI HPC platforms

Compensation Overview

$136k - $264.5k/yr

+ Equity

Company Historically Provides H1B Sponsorship

Austin, TX, USA + 1 more

More locations: Santa Clara, CA, USA

In Person

Category
Electrical Engineering (1)
Required Skills
Python
Perl
Requirements
  • BSEE (Master of Science in Electrical Engineering preferred) or equivalent experience.
  • 5 years of experience in large VLSI physical design implementation on 5nm, 4nm and 3nm technology.
  • Successful track record of delivering designs to production.
  • Shown experience in Power, Performance and Area improvement Initiatives is a plus.
  • 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.
  • Prior experience in timing closure, clock/power distribution and analysis, RC extraction and correlation, place/route and tapeout solutions.
  • Strong analytical and debugging skills.
  • Proficiency using Python, Perl, Tcl, Make scripting is helpful.
Responsibilities
  • Responsible for all aspects of physical design and implementation of GPU and other application-specific integrated circuits targeted at the desktop, laptop, workstation, and mobile markets.
  • Participate in establishing physical design methodologies, flow automation, chip floorplan, power/clock distribution, chip assembly and place and route, timing closure.
  • Craft designs for static timing analysis, power and noise analysis and back-end verification.
Desired Qualifications
  • Shown experience in Power, Performance and Area improvement Initiatives is a plus.
  • Proficiency using Python, Perl, Tcl, Make scripting is helpful.

NVIDIA designs and manufactures graphics processing units (GPUs) and computing platforms used for gaming, data centers, and artificial intelligence. These products work by using parallel processing to handle complex mathematical calculations much faster than standard computer processors, supported by a software ecosystem that allows developers to build and run AI models. Unlike competitors that may focus solely on hardware, NVIDIA integrates its chips with specialized software and cloud services to create a complete environment for high-performance tasks. The company’s goal is to provide the underlying technology necessary to power advanced computing, from realistic video game graphics to autonomous vehicles and large-scale data analysis.

Company Size

10,001+

Company Stage

IPO

Headquarters

Santa Clara, California

Founded

1993

Simplify Jobs

Simplify's Take

What believers are saying

  • Samsung, SK Hynix, and Micron qualifying for HBM4 de-risks Rubin supply.
  • NAVER's 55MW AI factory expands NVIDIA's sovereign AI infrastructure pipeline.
  • Robotics and edge AI open a nearly $500 billion addressable market.

What critics are saying

  • U.S. export controls can abruptly cut China revenue and strand H20 inventory.
  • HBM supply remains concentrated, so memory shortages can delay Rubin shipments.
  • AI capex normalization would pressure valuation and slow hyperscaler order growth.

What makes NVIDIA unique

  • CUDA and full-stack AI software create a sticky developer ecosystem.
  • Blackwell and Vera Rubin anchor NVIDIA's leadership in accelerated AI computing.
  • NVIDIA spans gaming, data centers, automotive, robotics, and sovereign AI deployments.

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Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

-3%

2 year growth

-3%
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