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QA Engineer, DPU Firmware

NVIDIANVIDIA·Semiconductors

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About the role

NVIDIA is looking for a highly motivated and experienced Software QA Engineer to join our DPU Firmware QA Team. Quality is an integral aspect of our products, and as a Firmware QA Engineer you will have a significant impact in helping us to deliver our products to customers in a fast paced and constantly evolving environment. You will bring your upbeat personality with excellent communication skills, attention to detail, and real passion for a positive user experience. The candidate will take part in wide areas of Software testing, systems testing, networking and automation in Linux environment.

What you'll be doing:

  • 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 team 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

What we need to see:

  • B.A. / B.Sc. in Computer Science/Software Engineering or Practical Software engineer

  • Knowledge in Networking and system experience

  • 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:

  • 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. 

NVIDIA is leading company supplying end-to-end Ethernet and InfiniBand interconnect solutions and services for servers, storage, and hyper-converged infrastructure. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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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$204.87+2.22%

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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