NPI System Production Engineer at NVIDIA

Tel Aviv-Yafo, TA, Israel

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Networking, High Performance Computing, Data Centers, Cloud ComputingIndustries

Requirements

B.Sc. in Electrical Engineering
4+ years of relevant experience in product engineering, failure analysis/debug, or HW/test design
Proven hands-on experience in HW debugging
Strong problem-solving abilities with a diligent approach
Outstanding interpersonal and communication skills in English
Ability to thrive in a collaborative and dynamic environment

Responsibilities

Conducting yield analysis monitoring and continuous improvement for NPI and mass production lines
Performing troubleshooting and comprehensive root cause analysis for production issues to ensure flawless operations
Maintaining product quality by improving test stability, coverage, and the design and manufacturing process
Collaborating with cross-functional teams to successfully implement new product introductions and improvements

Skills

Key technologies and capabilities for this role

yield analysisroot cause analysisHW debuggingtest designPythonCPerlLinuxfailure analysisdata analysis

Questions & Answers

Common questions about this position

What education and experience are required for the NPI System Production Engineer role?

A B.Sc. in Electrical Engineering and 4+ years of relevant experience in product engineering, failure analysis/debug, or HW/test design are required. Proven hands-on experience in HW debugging is also necessary.

What are the key responsibilities of this position?

The role involves conducting yield analysis and continuous improvement for NPI and mass production lines, troubleshooting and root cause analysis for production issues, maintaining product quality, and collaborating with cross-functional teams for new product introductions.

What salary or compensation does this role offer?

This information is not specified in the job description.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What skills or experiences make a candidate stand out for this role?

Candidates stand out with demonstrated experience in data/yield analysis, background in test design and HW lab equipment, experience in a manufacturing environment, and basic programming knowledge in C, Perl, Python in a Linux environment.

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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