Senior Physical Design Engineer

Posted 2 Days Ago
Be an Early Applicant
2 Locations
Hybrid
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Own physical design methodology and top-level timing closure for GPU and SoC designs. Responsibilities include floorplanning, placement, clock-tree synthesis, post-route optimization, static timing analysis, EMIR analysis, ECO and DRC closure. Build and improve EDA tool flows, automate processes with Python and Tcl, troubleshoot design and tool issues, optimize PPA and turnaround time, and collaborate with design teams and EDA vendors across tapeouts.
Summary Generated by Built In

NVIDIA has continuously reinvented itself. Our invention of the GPU sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. Today, research in artificial intelligence is booming worldwide, which calls for highly scalable and massively parallel computation horsepower that NVIDIA GPUs excel NVIDIA is a "learning machine" that constantly evolves by adapting to new opportunities that are hard to solve, that only we can address, and that matter to the world. This is our life's work, to amplify human creativity and intelligence. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join our diverse team and see how you can make a lasting impact on the world!


NVIDIA is seeking passionate, highly motivated, and creative design engineers to be part of a team working on industry-leading GPUs and SOCs. This position offers the opportunity to have real impact in a dynamic, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence. We have crafted a team of exceptional people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing.


What you'll be doing:

  • In this position, you will expected to be part of the physical design methodology team supporting top level timing closure flows. PD activities includes floorplanning, Placement, CTS, Postroute Optimization, STA, EMIR drop, IO Timing, ECO & DRC closure.
  • Work in collaboration with design team for addressing design challenges. Help team members in debugging tool/flow/design related issues. Constantly look for improvement in top level timing optimization and closure flows to improve TAT. Troubleshoots a wide variety up to and including difficult design issues and applied proactive intervention.
  • Build flows based on industry standard and custom EDA tools to implement designs efficiently and improve PPA. Support flows for chip design teams across tapeouts and tech nodes.
  • Work closely with EDA vendors to improve toolchains to fix bugs and implement innovative ideas

What we need to see:

  • BE/BTECH/MTECH, or equivalent experience. 4+ years of experience in Physical Design, preferably with methodology/flow experience.
  • Working experience with tools like ICC2/Innovus, Aspen, PrimeClosure, Tempus, Seahawk etc used in the RTL2GDSIl implementation.
  • Strong algorithmic thinking with good automation skills in Python, TCL, tool specific scripting on one of the industry leading Place & Route tools.
  • Ability to multi-task and flexibility to work in global environment. Good communication skills and strong motivation, Strong analytical & Problem Solving skills
  • Willingness to learn and master new techniques quickly. Innovate and drive changes across teams & workflows

#LI-Hybrid 

Skills Required

  • BE, BTech, MTech, or equivalent experience
  • 4+ years of experience in physical design
  • Physical design methodology or flow experience
  • Experience with ICC2, Innovus, Aspen, PrimeClosure, Tempus, Seahawk, or similar RTL-to-GDSII tools
  • Strong algorithmic thinking and automation skills
  • Python and Tcl scripting experience
  • Tool-specific scripting experience with a leading place-and-route tool
  • Ability to multitask and work in a global environment
  • Good communication, analytical, and problem-solving skills
  • Willingness to learn new techniques and drive workflow improvements

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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