Photonics Engineer

QuEra Computing•Boston, MA

About The Position

QuEra Computing, a frontrunner in the quantum computing industry, is seeking a highly motivated and experienced full-stack Photonic Engineer to help build the AI-driven component development pipelines that will accelerate next-generation photonic chip development. You will explore state-of-the-art optimization workflows, directly improving how quickly our engineers can iterate and tape out novel photonic components for large-scale fault-tolerant neutral-atom quantum computers.

Requirements

Master's or PhD in Electrical Engineering, Physics, or a related field, or 4+ years of experience with photonic integrated circuits (PICs).
Deep understanding and practical experience across PIC workflows, from simulation and layout to experimentation and control.
Strong Python skills and a demonstrated track record of automating engineering work, including with AI tools.
Enthusiasm for at least one of: photonic design automation, large-scale layout design, high-volume photonics testing, or photonic systems control.
Proven technical impact, evidenced by publications, patents, or shipped products.

Nice To Haves

Experience with commercial PIC simulation tools such as Lumerical, Tidy3D, and layout tools such as gdsfactory, KLayout, gdspy, or IPKISS.
Applied ML or AI for device design or layout optimization, such as inverse design, Bayesian optimization, or LLM-assisted design or layout workflows.
Direct experience with a specific foundry PDK and its design-rule constraints.
Experience with the development of optical components and systems for atomic physics, such as high-power visible/near-IR light, AOM/EOM control, beam delivery for atom trapping or Rydberg excitation.
Prior work in quantum computing, quantum sensing, quantum communication, or another physics-heavy hardware environment.

Responsibilities

Lead tapeouts of high-performance photonic and optoelectronic components and circuits.
Own and build out our AI-driven component development pipelines, with early focus on the layout pipeline.
Collaborate with foundry partners through iterative design–fab–test cycles, translating PDK constraints and fab feedback into faster convergence on working devices.
Contribute across photonics workflow: device design, simulation, layout, test, and system-level experiments.
Work closely with a multidisciplinary team of engineers and quantum scientists to integrate photonic components into complete quantum computing systems.