
PIC Laser & Nonlinear Photonics Staff Engineer (Experimental)
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Overview
Job Description
About the Team
Infleqtion is commercializing quantum technology-building deployable systems where photonics is the engine for performance, scale, and reliability. Our photonics team develops photonic integrated circuits (PICs) and related optical subsystems that enable chip-scale laser sources, modulation, routing, and control for next-generation quantum products. We work closely with quantum system teams, and external foundry/assembly partners to turn ambitious optical performance targets into manufacturable hardware.
About the Role
Infleqtion is seeking a Senior Laser & Nonlinear Photonics Engineer to lead and execute system-level photonics experiments, with a focus on laser sources and/or nonlinear optics modules (e.g., frequency conversion, parametric processes, comb generation), and their integration into larger photonic and quantum subsystems.
In this role, you will take end-to-end ownership of experimental development: architecture trades, optical design, hands-on build, stabilization/control, measurement automation, performance characterization, and iteration toward reliable prototypes.
We are looking for a highly motivated individual who thrives in ambiguity, enjoys working in a small, dynamic team environment, and has a passion for solving challenging problems that lead to high-impact technological advances.
How you will drive impact
- Architect, build, and validate laser and nonlinear photonics subsystems that meet demanding specs (linewidth, frequency noise, RIN, power, stability, efficiency, SWaP, reliability).
- Develop and run system-level experiments: optical bench builds, fiber-based architectures, free-space coupling, high-speed modulation, and precision frequency control.
- Implement stabilization and control: frequency locks, servo design, modulation/demodulation schemes, and long-term drift mitigation.
- Create robust measurement pipelines (automation, calibration, data analysis) to accelerate iteration and improve reproducibility.
- Translate experimental learnings into engineering requirements for packaging, manufacturability, and productization; collaborate closely with PIC designers, electronics, packaging, and manufacturing partners.
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