Senior GPU Systems Engineer

1 week ago

Singapore beBeeTechnical Full time $180,000 - $250,000
Product Development Engineering Role

This role offers a fulfilling and challenging career as an engineer leading System Level Test (SLT) GPU debug. As an SMTS System Level Technical Lead, you will drive and lead the GPU debug to meet business milestones and KPIs (test time, yield, cost, quality).

We are the high-end test engineering team providing test solutions for Data Center New Product Introduction (NPI). Our goal is to deliver leading-edge technology that powers next-generation processors used for high-performance computing, data centers, and enterprise servers.

The successful candidate will provide leadership to meet business milestones, cost, and quality in GPU system level test area. Responsibilities include leading and collaborating with internal teams on GPU swim lane from ASIC initial bring up to High Volume Manufacturing (HVM).

Key areas of responsibility:

  • Provide leadership to meet business milestones, cost, and quality in GPU system level test area.
  • Lead and collaborate with internal teams on GPU swim lane from ASIC initial bring up to High Volume Manufacturing (HVM).
  • Solve complex, novel, and non-recurring problems; initiate significant changes to existing processes/methods and lead development and implementation.
  • Conduct engineering evaluations and analysis to drive closure of GPU production issues.
  • Develop and apply new GPU debug techniques to enhance technical depth in Product and Test Engineering.

To be successful in this role, you will have strong knowledge and working experience on GPU and HBM architecture, SoC design, and SoC power management features. A good understanding of post-silicon voltage/frequency characteristics, power performance characterization, and product engineering knowledge is also required.

Experience and familiarity with using analyzers and oscilloscopes, and other debug tools are essential. Excellent interpersonal, organizational, and analytical skills are also required.

A Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, or comparable disciplines is required.

In addition, a strong ability to work collaboratively with cross-functional teams and excellent communication skills are necessary for success in this role.

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