We are looking for a Hardware failure analysis engineer to join the Interconnect FA team. This position will be part of the product engineering team which control NVIDIA Interconnect production lines. The ideal candidate will roll out failure analysis of products, while reviewing both the design and hardware assembly while executing manual and automated tests.
What you'll be doing:
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Review architectural design (electrical, mechanical, process, software) of the tested units to locate potential design issues.
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Design, develop and execute test suits to find the root cause for the HW malfunction of customers returned or production material.
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Connect with inner / external customers for background review.
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Finalize the investigation to summary reports.
What we need to see:
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B.Sc. in Electrical Engineering / Electrical Practical engineering.
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Minimum of 2 years experience in design / debug / FA of electrical circuits
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Hands-on experience with the schematic’s readout and lab tools operation (DVM, oscilloscopes, pattern generator...).
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Knowledge of electrical equipment.
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Independent, responsible worker, able to plan and execute.
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Team player with good communication and interpersonal skills.
Ways to stand out from the crowd:
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Experience in script languages: Perl, Python and Linux operating system shell.
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Knowledge in optical hardware design.
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Experience in Networking equipment operation (Switch CLI, NIC driver commands).
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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NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
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