Senior QA Engineer, DPU Firmware 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, SemiconductorsIndustries

Requirements

B.A. / B.Sc. in Computer Science/Software Engineering or Practical Software Engineer
Knowledge in Networking and system experience
5+ years of hands-on experience with software testing field
Programming skill
High English level
Fast learner with outstanding technical skills
Ability to self-manage, show leadership, good analytical skill
Ways to stand out from the crowd:
Proven experience as Software QA Engineer
Python programming proven skill
Familiarity with network protocols
Experience working with BMC and Host Management Network interfaces and standards
Experience with Crypto and Security Networking standards

Responsibilities

Design, Develop and Execute tests (manual and automatic)
Learn new networking standards, features and protocols and improve QA coverage
Participate in reviews and provide feedback on product feature requirements, specifications, and technical design documents
Collaborate with various teams including project management, hardware, and software developers, provide technical analysis of bugs
Execute tests in different scopes: regression, performance, functional, security; report the progress of testing and provide summary reports of testing activity
Develop/Enhance Tools, applications, or processes to improve the quality and test efficiency
Define and build setups topologies for appropriate product coverage

Skills

Key technologies and capabilities for this role

PythonNetworkingLinuxSoftware TestingAutomationBMCNetwork ProtocolsCryptoSecurityQA Tools

Questions & Answers

Common questions about this position

What experience is required for the Senior QA Engineer role?

Candidates need a B.A./B.Sc. in Computer Science/Software Engineering or equivalent, knowledge in networking and systems, and 5+ years of hands-on experience in software testing.

What programming skills are needed for this position?

Programming skills are required, with Python programming as a way to stand out.

What is the salary or compensation for this role?

This information is not specified in the job description.

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

This information is not specified in the job description.

What makes a candidate stand out for this QA Engineer role?

Proven experience as a Software QA Engineer, Python programming skills, familiarity with network protocols, experience with BMC and Host Management Network interfaces, and Crypto and Security Networking standards will help 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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