Test Product Engineer at NVIDIA

Tel Aviv-Yafo, TA, Israel

NVIDIA Logo
Not SpecifiedCompensation
Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, Semiconductors, NetworkingIndustries

Requirements

  • BSc in Computer Science, Electrical Engineering, or a related field
  • 3+ years of related experience in software development
  • Programming experience in one or more programming languages: Perl, Python, C
  • Familiarization with UNIX/Linux Operating Systems
  • Ability to drive projects to full execution on time
  • Team player, highly motivated, always stays up-to-date with new technologies and test methodologies
  • Excellent verbal and written communication, both in Hebrew and English

Responsibilities

  • Design and develop automated tests for networking Switches and DPU adapters while working closely with the HW, ASIC, and SW Engineering teams
  • Exposed to various aspects of design, test, security encryption methods of NVIDIA's next-generation network products
  • Working with overseas manufacturing MP teams to increase yields, and reduce production costs
  • Lead test solution innovations to reduce test time and improve quality

Skills

Key technologies and capabilities for this role

PythonPerlCLinuxUNIXShell ScriptingTest AutomationHW TestingNetworking SwitchesDPU AdaptersASICProduction Testing

Questions & Answers

Common questions about this position

What qualifications are required for the Test Product Engineer role?

A BSc in Computer Science, Electrical Engineering, or a related field is required, along with 3+ years of related experience in software development, programming experience in Perl, Python, or C, and familiarization with UNIX/Linux Operating Systems.

What are the preferred skills to stand out for this position?

Experience with test design and HW lab equipment, hands-on knowledge of Linux programming and shell scripting, experience in Python programming, and knowledge of HW testing and production flow will help you stand out.

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

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 kind of company culture does NVIDIA offer for this role?

NVIDIA fosters a diverse work environment with forward-thinking and hardworking people, values creative and autonomous individuals, and is committed to being an equal opportunity employer.

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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