Senior System Test Design 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

Technology, Networking, SemiconductorIndustries

Requirements

Bachelor's degree in Computer Science, Electrical Engineering, or a related field
5+ years of related experience in software development
Programming experience in one or more programming languages: Perl, Python, C++
Familiarization with UNIX/Linux OS operating systems
Background with the lab environment and tools such as oscilloscopes, multimeters, signal generators

Responsibilities

Design and develop automated tests for networking Switches while working closely with the HW, ASIC, and SW Engineering teams to achieve a reliable test with high coverage
Exposed to various aspects of design, DFT, and test of NVIDIA's next-generation network products
Take a significant part in the definition and development of tests from the development level to the final test of Network-Systems
Working with overseas manufacturing teams to increase yields, test coverage, and capacity, and reduce production costs

Skills

Key technologies and capabilities for this role

PythonPerlC++UNIXLinuxoscilloscopesmultimeterssignal generatorsASICDFTdebuggingperformance analysisautomated tests

Questions & Answers

Common questions about this position

What education and experience are required for this Senior System Test Design Engineer role?

A Bachelor's degree in Computer Science, Electrical Engineering, or a related field and 5+ years of related experience in software development are required.

What programming languages and technical skills are needed for this position?

Programming experience in one or more of Perl, Python, C++ is required, along with familiarization with UNIX/Linux OS and background with lab tools like oscilloscopes, multimeters, and signal generators.

What is the salary or compensation 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 qualities make a candidate stand out for this role at NVIDIA?

Candidates with excellent programming, debugging, performance analysis, and test design skills, who are highly motivated teammates staying up-to-date with new technologies and test methodologies, will stand out. NVIDIA seeks creative and autonomous individuals.

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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