Physical Design Methodology Engineer - New College Grad 2025

Posted:
8/20/2024, 4:38:12 AM

Location(s):
California, United States

Experience Level(s):
Entry Level/New Grad

Field(s):
AI & Machine Learning ⋅ Software Engineering

Do you have a passion for computer gaming, virtual reality, computer vision, and artificial intelligence? Ever dream about inventing your own holodeck? Do you want to work on leading-edge problems alongside some of the most forward-thinking people in the world?

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. Join our team with varied strengths today!

What you will be doing:

  • Developing physical design methodologies for implementation of graphics processors and SOCs.

  • Key responsibility includes developing unique and creative solutions to the state of the art physical design problems that are needed for NVIDIA chips.

  • Participate in developing flow and tool methodologies for chip floorplan, power and clock distribution, chip assembly and P&R, timing analysis and closure, power and noise analysis and back-end verification across multiple projects.

What we need to see:

  • Pursuing a MS in Electrical or Computer Engineering (or equivalent experience)

  • Experience in Physical Design Engineering

  • Familiar with aspects of chip design including Floor planning, Clock and Power distribution, Place and Route, Integration and Verification.

  • Strong background with hierarchical design approach, top-down design, budgeting, timing and physical convergence.

  • Familiar with various process related design issues including Design for Yield and Manufacturability, EM and IR closure and thermal management.

  • You'll need to have expertise and in-depth knowledge of industry standard EDA tools.

  • Proficiency in programming and scripting languages, such as, Perl, Python, and C++.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and dedicated people in the world working for us. If you're creative and autonomous, we want to hear from you.

The base salary range is 92,000 USD - 178,250 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

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.

NVIDIA

Website: https://www.nvidia.com/

Headquarter Location: Santa Clara, California, United States

Employee Count: 10001+

Year Founded: 1993

IPO Status: Public

Last Funding Type: Grant

Industries: Artificial Intelligence (AI) ⋅ GPU ⋅ Hardware ⋅ Software ⋅ Virtual Reality