Senior Network QA 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, Technology, SemiconductorsIndustries

Requirements

B.Sc. in Computer Science or Electrical/Electronics Engineering
5+ years of proven experience in QA
Advanced Python coding skills
Proven experience in QA methodologies and test design
Clear verbal and written communication, proficient in written and spoken English
Self-reliant individual, capable of planning and carrying out tasks within assigned area
Good interpersonal skills, quick learner, proactive, innovative, highly motivated, and committed

Responsibilities

Review arch design and requirements documents for new features introduced in domains like Infiniband and Ethernet Switches and NICs, Nvidia GPUs, NVLINK, Linkx and more
Design, develop, and perform tests for new features as part of FW GA or update releases
Automate newly added tests in the existing automation framework and add new capabilities and features to the framework
Report bugs found during execution, assist with reproduction and debugs to understand root cause, verify bug fixes provided by R&D team, and raise if not fixed
Conduct tests in various areas, including regression, performance, functional, and security; keep track of testing progress and generate summary reports of testing activities
Fully collaborate with different external teams like product marketing, R&D, and verification
Define and build setups topologies for appropriate product coverage

Skills

Key technologies and capabilities for this role

QA AutomationInfinibandEthernet SwitchesNICsNVIDIA GPUsNVLINKRegression TestingPerformance TestingFunctional TestingSecurity TestingBug ReportingTest FrameworkFW Testing

Questions & Answers

Common questions about this position

What education and experience are required for the Senior Network QA Engineer role?

A B.Sc. in Computer Science or Electrical/Electronics Engineering and 5+ years of proven experience in QA are required.

What key technical skills are needed for this position?

Advanced Python coding skills and proven experience in QA methodologies and test design are essential.

What is the company culture like at NVIDIA for this team?

The team develops a collaborative and inclusive work environment where ideas are shared and innovation is encouraged.

What personal qualities make a strong candidate?

NVIDIA seeks self-reliant individuals with good interpersonal skills, who are quick learners, proactive, innovative, highly motivated, and committed.

What experience would help me stand out for this role?

Experience with release management, V&V, E2E testing, working in fast-paced environments, and knowledge of networking protocols would make you 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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