Senior Signal and Power Integrity Engineer at NVIDIA

Toronto, Ontario, Canada

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CA$127,500 – CA$344,500Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductors, TechnologyIndustries

Requirements

B.Sc. in Electrical Engineering (or equivalent experience)
6+ 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
Understanding of Master InfiniBand, Ethernet, and PCI-Ex Layer 1 specifications and implementation methods

Responsibilities

Design high frequencies channels up to 200Gb/s per lane for PCBs, packages, connectors, and cables
Design layout guidelines for the company’s systems
Simulate passive and active elements in 3D and 2D simulation tools
Measure systems in the lab using Network Analyzer, TDR and scope
Work in an intense environment and control multi-discipline expertise

Skills

Key technologies and capabilities for this role

Ansys EMCSTVNATDRInfiniBandEthernetPCIeElectromagneticsTransmission Line TheoryHigh-Speed I/O DesignSignal IntegrityPower IntegrityPDN AnalysisNetwork AnalyzerPCB Design

Questions & Answers

Common questions about this position

What is the salary range for this Senior Signal and Power Integrity Engineer position?

The base salary range is 127,500 CAD - 344,500 CAD, determined by location, experience, and employee pay.

Is this role remote or hybrid, and where are the locations?

This is a hybrid position at NVIDIA sites in Israel and USA.

What are the key required skills for this role?

Key requirements include 6+ years of experience, familiarity with electromagnetics and transmission line theory, expert proficiency with EM tools like Ansys EM or CST, high-speed I/O design concepts, lab measurement experience with VNA & TDR, and understanding of InfiniBand, Ethernet, and PCI-Ex specifications.

What is the work environment like at NVIDIA for this team?

The role involves working closely with a highly skilled team in a dynamic, intense environment, tackling challenging goals with state-of-the-art technology, and controlling multi-discipline expertise.

What makes a candidate stand out for this position?

Standout candidates have an M.Sc./Ph.D. in Electrical Engineering, experience with PDN analyses, familiarity with NRZ/PAM-4 signaling, co-simulation of circuits and PDN models, experience with MATLAB, Python, and C, and exposure to TSV modeling.

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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