Senior System Validation 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

Networking, High-Performance Computing, Data Centers, Cloud ComputingIndustries

Requirements

BSc in Electrical/Computer Engineering or a related field with 5+ years of experience
Experience in hardware/software validation
Programming experience in one or more languages: Perl, Python, C, C++
Strong automation/scripting skills
Coding experience; ability to understand large Python project code and derive unit tests
Good knowledge of simulation flow and test automation development
Strong problem-solving ability and experience in product engineering/failure analysis, debug, HW or test design
Excellent interpersonal and communication skills in English
Experience as a Verification Engineer (preferred)
Experience in high-speed electrical testing and unit tests (preferred)
Background with production manufacturing flows (preferred)

Responsibilities

Perform Test Verification and Validation (both HW and SW)
Maintain products’ quality by improving test stability, coverage, design, and manufacturing process
Execute tests in scopes such as regression, performance degradation, functional, and security; report testing progress and provide summary reports
Troubleshoot and streamline/optimize testing procedures
Support production matters

Skills

Key technologies and capabilities for this role

PythonPerlCC++Test AutomationHardware ValidationSoftware ValidationUnit TestingScriptingSimulation FlowFailure AnalysisDebuggingHigh-Speed Electrical Testing

Questions & Answers

Common questions about this position

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

A BSc in electrical/computer Engineering or a related field with 5+ years of experience is required, along with experience in hardware/software validation.

What programming skills are needed for this position?

Programming experience in Perl, Python, C, C++ is required, with strong automation/scripting skills and the ability to understand large Python projects and derive unit tests.

What is the salary for this role?

This information is not specified in the job description.

Is this a remote position or what is the location policy?

This information is not specified in the job description.

What makes a candidate stand out for this Senior System Validation Engineer position?

Experience as a Verification Engineer, in high-speed electrical testing and unit tests, and background with production manufacturing flows will help candidates 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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