THE PERSON:
We are looking for someone with strong technical, analytical, leadership and problem-solving skills, as well as demonstrating the characteristic of an independent and resourceful individual. The applicant must have a proficient understanding of High Power Delivery (above 1kW) design, power capacitors and inductors, buck/boost converters, and ideally has experience with IVR (Integrated Voltage Regulator) as well as a broad understanding of silicon VFT (Voltage/Frequency/Temperature) behavior, on-die silicon power integrity, and system level power management etc.
KEY RESPONSIBILITIES:
- Accountable to provide leadership to meet business milestone, cost and quality in GPU system level test area.
- Collaborate with internal teams to drive IVR (Integrated Voltage Regulator) SLT swim lane from pre-silicon, ASIC initial bring up to HVM (High Volume Manufacturing).
- Solves complex, novel, and non-recurring problems; initiates significant changes to existing processes/methods and leads development and implementation.
- Conduct engineering evaluations and analysis to qualify cutting-edge IVR for HVM and drive closure of GPU production issues.
- Profile or characterize PI (Power Integrity), voltage droop, or power delivery issue observed on SLT platforms in collaboration with board/silicon designers.
- Involves collaboration on or assuming the consultative or leadership responsibilities for a specific project or for product development initiatives.
- May provide technical supervision or mentoring junior engineers.
- Upscale overall team capabilities on low level system debug for data center product families.
PREFERRED EXPERIENCE:
- Experience and with good understanding of Power Delivery design for high power GPU product (above 1kW), and knowledge in state-of-the-art of IVR (Integrated Voltage Regulator).
- Strong expertise with using analyzers and oscilloscopes, and other debug tools.
- Knowledge and working experience on GPU and HBM architecture, SoC design and SoC power management features are a strong plus.
- Strong and effective presentation, written and verbal communication skills, and the ability to work with geographically distributed product engineering teams.
- Proficiency in Windows, and Linux operating systems.
- Basic scripting proficiency for automation (Shell script, Perl, Ruby, Python).
- 8 years or more industry experience.
ACADEMIC CREDENTIALS:
- BS/MS Electrical Engineering, Computer Engineering, or comparable disciplines.
