Note: The job is a remote job and is open to candidates in USA. Xanadu is hiring a Photonics AI Engineer to design passive and active components for photonic quantum hardware. The role uses AI-driven inverse design, optimization, and simulation to deliver fabrication-robust components, while collaborating with layout, fabrication, and test engineers and contributing reusable design tooling.
Responsibilities
- Own component design from physical concept to a verified building block ready for tapeout
- Apply ML/AI-driven inverse design and AI-assisted optimization to passive and active integrated optical components
- Run large simulation campaigns across FDTD, EME, FEM, and mode solvers, with attention to convergence, numerical error, and compute cost
- Establish agentic AI tooling and processes that carries the design loop: launching simulation campaigns, triaging results, and extracting figures of merit
- Design for manufacturability from the start, so that simulated performance survives the fab
- Work closely with layout, fabrication, and test engineers to close the loop from concept to measured wafer data
- Contribute reusable design and optimization infrastructure to the team's codebase
Skills
- Fluency with modern AI tooling in your day-to-day work (coding agents, LLM-driven automation, or agentic pipelines), and a track record of building your own tools
- Participated in multiple tapeouts covering design, layout, and post-silicon analysis, with components that were fabricated and measured
- Hands-on experience applying ML/AI to a technical problem, in any domain
- Enthusiasm for adopting new AI capabilities quickly and reshaping your own workflow around them
- BSc in Engineering, Physics, or a related field
- Strong knowledge of integrated photonic component design, including the sources of loss in photonic devices and their relation to the fabrication process
- Experience with electromagnetic simulation (FDTD, EME, FEM, mode solvers) and the trade-offs between solver fidelity and computational cost
- Experience with automated design optimization rather than manual parameter sweeps
- Strong Python skills: reusable, tested, version-controlled code
- Comfortable operating in a fast-paced environment with multiple competing priorities
- Proficiency in these technologies is essential
- MSc or PhD in Engineering, Physics, or a related field
- Experience building agentic systems or AI tooling for a technical domain
- Experience with ML/AI-driven or inverse design of physical systems
- Experience designing active components such as electro-optic modulators or photodiodes
- Experience with robust or yield-aware design under process variation
- Experience executing tapeouts with external photonic foundries
- Familiarity with quantum photonics or quantum computing hardware
Benefits
- Eligible for equity
- Hybrid work arrangement
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