Silicon Photonics Design Engineer for AI & HPC

AMD

San Jose (CA)

Vor Ort

USD 150.000 - 230.000

Vollzeit

Vor 5 Tagen
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Zusammenfassung

AMD in San Jose, CA is seeking a seasoned technical contributor to drive end-to-end delivery of PIC solutions, coordinating across hardware and partner teams for optical IO in AI and HPC applications. You will work on PIC theory, design, layout, simulation, packaging, and testing, interfacing with EIC, packaging, foundry, and product teams to optimize design and automation.

Masters or PhD in Applied Physics or Electrical Engineering required; strong DFx and software focus; excellent

Qualifikationen

  • Masters or PhD in Applied Physics or Electrical Engineering (or related).
  • Experience with PIC theory, layout, simulation, packaging, and testing.
  • Strong DFx and software focus with schedule and cost management.
  • Excellent communication and teamwork across geographies.

Aufgaben

  • Develop OE systems in advanced Si photonics process technologies for DWDM and CWDM in AI/HPC applications.
  • Invent/define PIC architectures, TX/RX chains, components and test methodologies.
  • Model, simulate, and optimize Optical IO budgets reflecting product requirements and foundry capabilities.
  • Collaborate on design-for-test to enable high-volume manufacturing readiness.
  • Participate in design reviews as a silicon photonic component design expert.
  • Coordinate cross-functional efforts to architect design and test automation solutions.

Kenntnisse

PIC theory
Device design
Circuit layout
Design for test
Python

Ausbildung

Masters or PhD in Applied Physics/Electrical Engineering

Tools

Cadence
FDTD
MODE
Photonic design automation

Jobbeschreibung

AMD in San Jose, CA is seeking a seasoned technical contributor to drive end-to-end delivery of PIC solutions, coordinating across hardware and partner teams for optical IO in AI and HPC applications. You will work on PIC theory, design, layout, simulation, packaging, and testing, interfacing with EIC, packaging, foundry, and product teams to optimize design and automation.

Masters or PhD in Applied Physics or Electrical Engineering required; strong DFx and software focus; excellent

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