Local Product Engineer
NVIDIA
Local Product Engineer
NVIDIA
Designs the chips and software that power AI
NVIDIA’s Networking Silicon Engineering group is looking for a Local Product Engineer.
NVIDIA's GPUs，DPUs and SOCs are the world leaders in performance and efficiency, and we are continually innovating in creative and outstanding ways to improve our ability to deliver outstanding solutions in a wide range of sectors. At NVIDIA, we are building the system, hardware, and software technology which enables the highest data transition performance. Our Production Support team is currently searching for an Engineer to help us Monitor the production status at CM and that will be focal point for all production testing issues:
What you'll be doing:
The working place base at factory at Bac Ninh Vietnam.
Provide onsite tier 1 support for tests validation, test infrastructures, tests setup and station troubleshooting.
Introduction and training of new tests to CM engineering team.
Conduct test debugging and failure analysis whenever needed.
Monitor the NPI project yields and give the analysis of the top failures.
What we need to see:
B.S. Electrical Engineering, or equivalent experience in factory Failure analysis or Electrical Engineering roles.
Familiar with the manufacture processes of electric product.
Minimum 5 years of experience in failure analysis by multiple tools such as DVM, TDR, oscilloscope, etc.
Experience in HW problems diagnostic, repairing or in board design.
Proficient English speaking and writing.
Ways to stand out from the crowd:
With ICT / JTAG skills.
Familiar with Functional Tests.
Background with Linux OS, perl and Python.
Experience on reliability test like Burn In, HASS.
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, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.
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