Signal Integrity Lab Engineer at NVIDIA

Tel Aviv-Yafo, TA, Israel

NVIDIA Logo
Not SpecifiedCompensation
Junior (1 to 2 years), Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, SemiconductorsIndustries

Requirements

  • B.Sc. in Electrical Engineering with 3+ years of relevant experience or M.Sc./Ph.D. in Electrical Engineering with minimum 2 years of relevant experience
  • Experience in lab tools such as Network Analyzer, Scope, TDR and Spectrum Analyzer
  • Familiar with InfiniBand, Ethernet and PCI-Ex Layer 1 specifications

Responsibilities

  • Define and perform characterization for our systems up to 400Gb/s per channel
  • Characterization of high frequencies PCB, connectors and cable channels up to 400Gb/s
  • Perform characterization and compliance tests for optical cables and optical devices
  • Leading the Layer 1 specifications (InfiniBand, Ethernet, PCI-Ex) from all signal integrity aspects
  • Work in intense environment and control multidiscipline expertise

Skills

Key technologies and capabilities for this role

Network AnalyzerOscilloscopeTDRSpectrum AnalyzerInfiniBandEthernetPCIeSignal IntegrityPCB CharacterizationOptical Testing

Questions & Answers

Common questions about this position

What salary can I expect for the Signal Integrity Lab Engineer role?

This information is not specified in the job description.

Is this Signal Integrity Lab Engineer position remote or onsite?

This information is not specified in the job description.

What are the required qualifications and skills for this role?

Candidates need a B.Sc. in Electrical Engineering with 3+ years of relevant experience or M.Sc./Ph.D. with at least 2 years, experience with lab tools like Network Analyzer, Scope, TDR, and Spectrum Analyzer, and familiarity with InfiniBand, Ethernet, and PCI-Ex Layer 1 specifications.

What is the team culture like at NVIDIA for this position?

This is a dynamic team working with state-of-the-art, unique technology in an intense environment, where they value creative and autonomous individuals who love a challenge and help move the needle.

How can I stand out as a candidate for this Signal Integrity Lab Engineer role?

Familiarity with optical experiments and tools, along with an M.Sc./Ph.D. in Electrical Engineering, will help you stand out from the crowd.

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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