Senior System Level Integration Engineer at NVIDIA

Tel Aviv-Yafo, TA, Israel

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductors, Networking, TechnologyIndustries

Requirements

B.Sc. in Electrical Engineering with software proficiency or B.Sc. in Computer Science with strong electrical understanding
5+ years of relevant experience
Strong lab and integration skills — hands-on experience working with real hardware is a must
Solid understanding of embedded systems, system bring-up, and debugging tools (e.g., logic analyzers, oscilloscopes, JTAG)
Proven ability to take ownership and lead technical efforts across multidisciplinary teams
Excellent communication and organizational skills — able to align multiple stakeholders

Responsibilities

Integrate deliverables from multiple engineering teams into a cohesive and functional product
Investigate, debug, and resolve (or delegate) system issues — ensuring ownership through resolution and fix verification
Manage internal release cycles, working closely with stakeholders to define release content and stability requirements
Operate hands-on in the lab: setup, bring-up, validation, and diagnostics of hardware/software systems
Collaborate with production line teams, providing remote support and proactive monitoring of manufacturing processes
Act as the first line of defense for production-related issues and drive root cause analysis and continuous improvements

Skills

Key technologies and capabilities for this role

Embedded SystemsSystem Bring-upHardware DebuggingIntegration TestingLab ValidationRelease ManagementRoot Cause AnalysisSoftware Proficiency

Questions & Answers

Common questions about this position

What education and experience are required for this role?

A B.Sc. in Electrical Engineering with software proficiency or B.Sc. in Computer Science with strong electrical understanding is required, along with 5+ years of relevant experience.

What are the key technical skills needed for this position?

Strong lab and integration skills with hands-on experience working with real hardware, solid understanding of embedded systems, system bring-up, and debugging tools like logic analyzers, oscilloscopes, and JTAG are essential.

What soft skills are important for this job?

Proven ability to take ownership and lead technical efforts across multidisciplinary teams, along with excellent communication and organizational skills to align multiple stakeholders, are required.

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

This information is not specified in the job description.

What salary or compensation does this role offer?

This information is not specified in the job description.

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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