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Manufacturing Test Engineer

NVIDIANVIDIA·Semiconductors

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About the role

NVIDIA's GPUs and Tegra SOCs are the world leaders in performance and efficiency, and we are continually innovating in creative and unique ways to improve our ability to deliver extraordinary solutions in a wide range of sectors. We are seeking a Manufacturing Test Engineers who are passionate about what they do and are committed to making a difference in the world through their inventions. As part of the TSG Team, we will co-work with different teams to spend efforts for software and Hardware solution support on new feature test in board and system level which will be deployed into NVIDIA MFG CM.

What you will be doing:

  • Help design tools to automate product definitions, data collection, test case execution, and results analysis

  • Drive LPU&GPU diagnosis and analyze test issues at the embedded/automotive products level with hardware, software, and operations engineering teams.

  • Qualify equipment/fixture and tooling for NVIDIA MFG usage model

  • Data automation and tool generation. Co-work with CM to realize embedded/automotive product test automation. Study and develop cutting-edge techniques in deep learning, graphs, machine learning, and data analytics, and deploy AI for NVIDIA production automation

  • Assist, develop, and provide feedbacks on embedded/automotive products debug tools to SW team members

  • LPU&GPU products test setup/issue(ICT and FCT) follow up if CM has any issues for Diag package and FTP document

What we need to see:

  • BS or MS background in EE,CS, Automatic Control, Systems Engineering with 5+ years of related experience

  • Experience with MCU/FPGA program/debug would be a plus

  • Hands-on experience with lab tools (oscilloscopes, multimeters)

  • Deep knowledge of low-level software drivers and kernel

  • Ability to debug at board level and usage of probing hardware

  • Self-motivated and able to work effectively across different functional teams. Excellent written and oral communication skills in English

Ways to stand out from the crowd:

  • Experience in x86 assembly and knowledge of the PC architecture and power management

  • Familiarity in VB or Shell, JAVA, Perl, Python script programming

  • Your experience in test plan, failure processing, and test program development

  • Experience with running system level diagnostic tests and deeper understanding of the purpose of those tests

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the most desirable employers in the world. We have some of the most brilliant and talented people in the world working for us. If you are creative, autonomous and love a challenge, we want to hear from you. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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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

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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