Senior Signal and Power Integrity Engineer at NVIDIA

Shenzhen, China

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, SemiconductorsIndustries

Requirements

MS/BS in EE or equivalent experience
Minimum 5+ years of experience as a SI/PI engineer
Deep understanding of electromagnetics, specifically electromagnetic waves including transmission line theory and via properties
Proficient with HFSS, Sigrity, Hspice, and/or other simulation tools
Experienced with Cadence Allegro PCB designer and Constraints Manager
Understanding of high volume manufacturing variations and impact to channel signal integrity
Exposure to lab measurements including VNA & TDR experience
Passionate about SI/PI work
Good written & verbal interpersonal skills in English
Ways to stand out
Familiarity with NRZ/PAM-4/Duo-binary signaling schemes
Exposure to interface timing budgets and system modeling
Familiarity with high-speed I/O design concepts including clock generation, transmitter & receiver design, and equalization schemes
PDN analyses including model generation and time domain simulation
Experience w/ Matlab, Python, and C as well as exposure to package design

Responsibilities

Drive board/system level signal and power integrity requirements
Lead board/system SI/PI design activities, including PCB stackup/material selection, design guide implementation, layout review, and post-layout analysis
Work closely with Architecture, ASIC, Mixed Signal, Package, and PCB Design teams to design and ensure system SI/PI performance meets expectation before Gerber out
Work closely with Design Validation teams to support SI/PI failure analysis
Develop novel algorithms & new methodologies to improve SI/PI modeling efforts
Work with Application Engineering teams to support customers w/ SI/PI questions
VNA & TDR measurements to support model correlation efforts and improve confidence in design stage

Skills

Signal Integrity

Power Integrity

HFSS

Sigrity

Hspice

Cadence Allegro

Constraints Manager

PCB Stackup

Electromagnetics

Transmission Line Theory

VNA

TDR

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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