Senior Signal and Power Integrity Engineer

Reposted 13 Days Ago
Be an Early Applicant
4 Locations
In-Office
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
As a Senior Signal and Power Integrity Engineer, you will design high-frequency channels, create layout guidelines, simulate elements, and conduct measurements in the lab while mastering specifications for InfiniBand, Ethernet, and PCI-Ex.
Summary Generated by Built In

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 creativity and intelligence!

 

We are looking for a Senior Signal & Power Integrity Engineer. We work closely with NVIDIA sites in USA and China and have access to extensive knowledge, technologies and tools. Yet we are responsible for our own product line of PHY IC’s . Taking the products from concepting, through design, implementation, verification and release to customers. If you thrive working with highly skilled people that enjoy reaching challenging goals then NVIDIA in might be the perfect workplace for you. This is a dynamic team working with state of the art, unique technology. If you are someone that loves a challenge, come join this diverse team and help move the needle !

What you'll be doing:

  • Design high frequencies channels up to 400Gb/s per lane for PCBs, packages, connectors and cables.

  • Design layout guidelines for our systems.

  • Simulate passive and active elements in 3D and 2D simulation tools

  • Measure systems in the lab using Network Analyzer, TDR and scope

  • Master InfiniBand, Ethernet and PCI-Ex Layer 1 specifications and implementation methods

  • Work in an intense environment and control multi-discipline expertise

What we need to see:

  • B.Sc. in Electrical Engineering (or equivalent experience)

  • 5+ years of experience

  • Familiar with electromagnetics, specifically electromagnetic waves including transmission line theory and via properties.

  • Expert level proficiency with EM tools (such as Ansys EM, CST, etc.).

  • Familiarity with high-speed I/O design concepts including clock generation, transmitter & receiver design, and equalization schemes.

  • Experience in Lab measurements including VNA & TDR experience, interface timing budgets, and system modeling.

  • Master InfiniBand, Ethernet, and PCI-Ex Layer 1 specifications and implementation methods.

  • Ability to work in an intense environment and control multi-discipline expertise.

Ways to stand out from the crowd:

  • M.Sc./Ph.D. in Electrical Engineering and PDN analyses including model generation and time domain simulation.

  • Familiar with NRZ/PAM-4 signaling schemes.

  • Analyses involving co-simulation of circuits and PDN models.

  • Experience with MATLAB, Python, and C.

  • Exposure to TSV (Through-Silicon-Via) modeling and analysis.

With competitive salaries and a generous benefits package, we are widely considered to be 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 and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.

Top Skills

Ansys Em
C
Cst
Matlab
Python
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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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