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Software QA Engineer

NVIDIANVIDIA·Semiconductors

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Posted

2 days

Sponsorship

H-1B history

This company has a track record of sponsoring H-1B visas.

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About the role

We are seeking an QA engineer to join our SW/FW testing team. This position will be part of our growing team, which enables NVIDIA products to meet the industry-leading benchmarks of efficiency and quality. We develop a collaborative and inclusive work environment, where ideas are shared and innovation is encouraged.

As a QA Engineer in this group, you will be immersed in the latest advancements and actively contribute to developing world-class products. Your efforts will directly impact the performance and quality of our offerings, ensuring they consistently meet industry-leading standards. We are looking for an ideal candidate with proven QA experience who will be actively involved in testing industry-leading features in the Networking sector, can acquire new feature knowledge, conduct both manual and automated tests, and contribute to the development of automation systems. The ideal candidate should bring a robust understanding for SW release cycle and the QA part in it.

What you'll be doing:

  • Review arch design and requirements documents for new features introduced in several domains like NVLINK Fusion, VR, NVIDIA GPUs and more.

  • Design and execute comprehensive test plans for both initial releases and ongoing firmware updates.

  • Develop and maintain automated frameworks expanding existing infrastructure with new capabilities to improve coverage, stability, and efficiency.

  • 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.

  • Work multi-functionally with teams such as R&D, product marketing, and system verification to ensure high-quality, production-ready deliverables.

  • Define and build setups topologies for appropriate product coverage.

What we need to see:

  • Practical / BSc in Computer Science or Electrical/Electronics Engineering from a recognized academic institution.

  • Well familiarity with QA methodologies, Test design, Bug prioritization, SW release workflows

  • Clear verbal and written communication, proficient in written and spoken English.

  • Self-reliant individual, capable of planning and carrying out tasks within their assigned area.

  • Personal: good interpersonal skills, quick learner, proactive, innovative, highly motivated, and committed.

Ways to stand out from the crowd:

  • Proven experience in QA - methodologies, and test design.

  • Working in fast-paced environment with multiple parallel running activities.

  • Experience with release management, V&V, E2E testing.

  • Knowledge/experience in Networking protocols.

  • Scripting skills and proven experience in Python or other programming languages and knowledge of Linux/Windows OS

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Aplyr's read

NVIDIA is a pioneering force in GPUs and AI, attracting top talent in engineering and innovation-driven roles across various tech domains.

Synthesized from recent postings & public sources

What's promising

  • •NVIDIA leads the GPU market, crucial for gaming and AI applications.
  • •The company invests heavily in AI and deep learning, driving technological advancements.
  • •NVIDIA's strong market position offers stability and growth opportunities for employees.

What to watch

  • •High competition in the semiconductor industry can impact market share.
  • •Rapid technological changes require constant adaptation and learning.
  • •Intense workload and high expectations may affect work-life balance.

Why NVIDIA

  • •NVIDIA's GPUs are industry benchmarks in gaming and professional graphics.
  • •The company's AI research is at the forefront of deep learning innovation.
  • •NVIDIA's culture emphasizes cutting-edge technology and engineering excellence.

Aplyr’s read is generated by AI from public sources. Was it useful?

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About NVIDIA

NVDA$233.95+1.34%

NVIDIA is a leading technology company known for its graphics processing units (GPUs) for gaming and professional markets, as well as its advancements in artificial intelligence and deep learning.

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