Senior System Hardware Engineer at NVIDIA

Ra'anana, M, Israel

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Networking, Data CentersIndustries

Requirements

B.Sc. in Electrical Engineering (or equivalent experience)
8+ years as a System Engineer, experience in integration of complex HW projects execution
Hands-on lab and HW & SW Tools skills
Proven experience as technical leading multi-disciplinary projects
Experience in high current power delivery design and Power Integrity
Experience in high-speed design and Signal Integrity
Comprehensive understanding of RTL implementations (CPLD/FPGA)
Excellent interpersonal relationship and demonstrated ability taking ownership
Ways to stand out
Experience in data-center switches products design and validation & verification for high volume manufacturing
Experience in optic system, design, debug and testing

Responsibilities

Switch System design from concept to mass production
Hands-on testing in lab environment for electrical and optical integration & validation, including problem solving while accompany production and qualification process
Define the HW requirement and review HW aspects such as schematics, component selection, layout, mechanics, DFM/T
Collaborate and integrate with all HW project fields: Board Design, Mechanics, Thermal, Production, Software/Firmware, RTL and more

Skills

Key technologies and capabilities for this role

Power IntegritySignal IntegrityHigh-Speed DesignFPGACPLDRTLSchematics ReviewComponent SelectionPCB LayoutDFMThermal ManagementOptical IntegrationLab TestingHW/SW Tools

Questions & Answers

Common questions about this position

What education and experience are required for the Senior System Hardware Engineer role?

A B.Sc. in Electrical Engineering (or equivalent experience) and 8+ years as a System Engineer with experience in integration of complex HW projects execution are required.

What key skills are needed for this position?

Hands-on lab and HW & SW Tools skills, experience in high current power delivery design and Power Integrity, high-speed design and Signal Integrity, and comprehensive understanding of RTL implementations (CPLD/FPGA) are required.

Is this a remote position or does it require working in an office?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What experience would make me stand out as a candidate?

Experience in data-center switches products design and validation & verification for high volume manufacturing, and experience in optic system, design, debug and testing would help you stand out.

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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