Photonic AI Engineer: Wafer-Scale Fabrication Design

Georgian; Santa Clara (CA); Sur place; USD 160 000 - 210 000; Plein temps

Avantages offerts par ce poste

Equity

Benefits

Résumé du poste

Xanadu is seeking a Photonics AI Engineer to own fabrication-aware design on a fast-paced path-finding team. You will translate process constraints into design language, calibrate models against wafer data, and develop AI tooling to turn metrology and yield into actionable design changes.

The role requires experience with tapeouts, strong Python skills, and collaboration with ML/AI specialists to optimize photonics fabrication and device performance. Equity and benefits are offered.

Qualifications

• Fluency with modern AI tooling and a track record of building your own tools.
• Participated in multiple tapeouts with fabrication-aware design decisions and DOE input.
• Enthusiasm for adopting new AI capabilities quickly and reshaping your workflow around them.
• Comfort collaborating with ML/AI specialists on data-driven models for process and measurement data.
• BSc in Physics, Materials Science, Electrical Engineering, or a related field.
• Solid understanding of integrated photonics fabrication and its impact on optical performance.
• Hands-on experience driving process-design co-optimization with fabrication teams.

Responsabilités

• Bridge fabrication and design, translating process constraints into design language and design requirements into process language.
• Own the fabrication-aware layer of our design methodology: layer stacks, geometry translation, bias and CD targets, corner definitions, and design rules grounded in measured process capability.
• Keep process models calibrated against real wafer data, covering effects such as CD and edge bias, sidewall angle, etch depth, film non-uniformity, and lithographic rounding.
• Define tolerance and yield budgets, and assess design robustness against process variation.
• Contribute design requirements and test structures to fabrication experiments and DOEs.
• Turn inline metrology, wafer-level optical test, imaging analysis, and yield data into design changes, building AI tooling for that loop.
• Lead failure analysis, separating design error from process excursion.

Connaissances

AI tooling

Tapeouts

Python pipelines

Cross-functional collab

DOE input

Physics background

Data-driven

Strong comms

Formation

BSc in Physics

BSc in Electrical Engineering

BSc in Materials Science

Outils

SEM

TEM

AFM

Ellipsometry

XRR/XRD

SIMS

Raman

Description du poste

Xanadu is seeking a Photonics AI Engineer to own fabrication-aware design on a fast-paced path-finding team. You will translate process constraints into design language, calibrate models against wafer data, and develop AI tooling to turn metrology and yield into actionable design changes.

The role requires experience with tapeouts, strong Python skills, and collaboration with ML/AI specialists to optimize photonics fabrication and device performance. Equity and benefits are offered.