Signal and Power Integrity Engineer (RDSS Intern)

Reposted 18 Days Ago
Be an Early Applicant
2 Locations
Internship
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
As a Signal and Power Integrity Engineer Intern, you will conduct chip package and PCB design analysis, support high-speed circuit design challenges, and develop algorithms for improved modeling efforts. You will work with teams to ensure link performance meets expectations and assist with signal integrity simulations for various interfaces.
Summary Generated by Built In

We are looking for a Signal and Power Integrity (SI/PI) Engineer (RDSS Intern) – someone who is excited to join a growing group of diverse individuals responsible for chip package and PCB design analysis to achieve high-speed mixed-signal circuit design challenge, such as USB4, PCI-Express Gen6, and even 100GbE or beyond.

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 pursue, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence.

What You'll Be Doing:

  • Post-layout model extraction for project review sign-off

  • pre-layout model extraction for DOE 

  • Work closely w/ Package and PCB Design teams to design and ensure link performance meets expectation before tapeout

  • Develop novel algorithms & new methodologies to improve SI/PI/EMI modeling efforts

  • Work w/ Application Engineering teams to support customers w/ SI/PI questions

  • Support signal integrity simulation and analysis for interfaces PCIE, NVLink, display, LPDDR etc.

What We Need To See:

  • MS in EE and majoring in SI/PI technology or equivalent experience,

  • Strong understanding of electromagnetics, specifically electromagnetic waves including transmission line theory and via properties, and the SI/PI/EMI applications; S/Y/Z parameters; discrete signal processing knowledge

  • Know how to use ANSYS HFSS/Q3D/SIwave/Designer, Synopsis HSPICE, Cadence PowerSI, and Keysight ADS

  • Understanding of high-volume manufacturing variations and impact to channel signal integrity is a plus

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

  • Familiarity with transient simulation in tools and understanding of eye diagram methodology

  • Exposure to lab measurements including VNA & TDR, and oscilloscope experience 

  • Passionate about SI/PI work

Ways To Stand Out From The Crowd:

  • SI analysis flow including frequency and time domain simulation

  • PDN analysis flow including model generation and time domain simulation

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

  • Experience w/ Matlab, Python, VBS, and C

  • RF/microwave engineering; EMI/RFI analysis capability

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the most desirable employers in the world. We have some of the most brilliant and talented people in the world working for us. If you are creative, autonomous and love a challenge, we want to hear from you. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Top Skills

Ansys Hfss
C
Cadence Powersi
Designer
Keysight Ads
Matlab
Power Integrity
Python
Q3D
Signal Integrity
Siwave
Synopsis Hspice
Vbs
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The Company
HQ: Santa Clara, CA
21,960 Employees
On-site Workplace
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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