Hardware Practical Engineer at NVIDIA

Ra'anana, M, Israel

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Not SpecifiedCompensation

Junior (1 to 2 years), Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductors, Networking, Data CentersIndustries

Requirements

At least 2 years of hands-on experience in a hardware lab environment
Proven experience with lab equipment and board-level debugging
Ability to understand schematics and PCB layouts
Strong problem-solving skills and teamwork mindset
Good technical English for reading datasheets and writing reports

Responsibilities

Perform board bring-up, validation, and debugging activities in the lab
Operate lab equipment such as oscilloscopes, power supplies, logic/spectrum analyzers, and multimeters
Support hardware investigations by reading schematics, analyzing layouts, and completing test procedures
Document test results and communicate findings clearly to engineering teams
Work closely with electrical, mechanical, thermal, and system engineers throughout the development cycle

Skills

Key technologies and capabilities for this role

Board Bring-upHardware ValidationDebuggingOscilloscopesPower SuppliesLogic AnalyzersSpectrum AnalyzersMultimetersSchematicsPCB LayoutsPCIeEthernetSerDesTest Automation

Questions & Answers

Common questions about this position

What experience is required for the Hardware Practical Engineer role?

At least 2 years of hands-on experience in a hardware lab environment is required, along with proven experience with lab equipment and board-level debugging, ability to understand schematics and PCB layouts, strong problem-solving skills, and a teamwork mindset.

What does a Hardware Practical Engineer do at NVIDIA?

The role involves performing board bring-up, validation, and debugging in the lab, operating equipment like oscilloscopes and power supplies, supporting hardware investigations by reading schematics and analyzing layouts, documenting results, and collaborating with electrical, mechanical, thermal, and system engineers.

Is this Hardware Practical Engineer position remote or on-site?

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 makes a candidate stand out for this Hardware Practical Engineer position?

Candidates stand out with experience in high-speed interfaces like PCIe, Ethernet, and SerDes, familiarity with thermal/mechanical test setups, experience with test automation, and background using bug tracking or PLM tools.

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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