NVIDIA Logo

NVIDIA

Senior Physical Design Engineer

Reposted 2 Hours Ago
Be an Early Applicant
In-Office
Austin, TX, USA
168K-311K Annually
Senior level
In-Office
Austin, TX, USA
168K-311K Annually
Senior level
Responsible for physical design and implementation of GPUs and ASICs, including methodology establishment, power/clock distribution, and timing closure.
The summary above was generated by AI

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.

  • 8+ 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 168,000 USD - 264,500 USD for Level 4, and 196,000 USD - 310,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until March 20, 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
Ir Drop Analysis
Make
Mentor Graphics
P&R
Perl
Physical Verification
Python
Synopsys
Tcl
Timing Analysis

Similar Jobs

12 Days Ago
In-Office
Senior level
Senior level
Artificial Intelligence • Hardware • Information Technology • Machine Learning
As a Senior Physical Design Engineer, you will manage the physical implementation of ASICs and SoCs, ensuring timing closure, power integrity, and physical verification while collaborating with design and technology teams.
Top Skills: AsicCmosDrcLvsPythonSocStaTcl
12 Days Ago
In-Office
Austin, TX, USA
136K-265K Annually
Senior level
136K-265K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
This role involves developing and optimizing standard cell templates, improving library validation, and collaborating with teams in VLSI design at NVIDIA.
Top Skills: C++Cadence SkillPerlPython
13 Days Ago
In-Office
Austin, TX, USA
168K-265K Annually
Senior level
168K-265K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
Design and implement algorithms and tools for chip-level placement, reshaping, and global routing. Develop computational geometry, placement, routing and graph-optimization solutions, apply machine learning for design space exploration, extend GUIs for debugging/visualization, and collaborate with design teams to deploy high-performance C++ tools impacting next-generation AI chip physical layouts.
Top Skills: C++C++14C++17Computational GeometryDistributed ComputingGraph TheoryGuiIcc2InnovusMachine LearningMultithreadingPlacementRouting

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account