Signal and Power Integrity Engineer (RDSS Intern) - 2026 at NVIDIA

Taipei, Taiwan

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Not SpecifiedCompensation

InternshipExperience Level

InternshipJob Type

UnknownVisa

Semiconductors, TechnologyIndustries

Requirements

MS in EE and majoring in SI/PI technology
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 (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

Responsibilities

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

Skills

ANSYS HFSS

ANSYS Q3D

ANSYS SIwave

Cadence Designer

Synopsis HSPICE

Cadence PowerSI

Keysight ADS

Signal Integrity

Power Integrity

Electromagnetics

S-parameters

PCIe

NVLink

LPDDR

Transmission Line Theory

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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