Cryogenic Photonics Test Architect

Acceler8 Talent

Boulder (CO)

Hybrid

USD 120,000 - 160,000

Full time

8 days ago
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Job summary

Acceler8Talent is partnering with a well-funded AI hardware startup to develop cryogenic photonic networks that merge superconducting electronics with integrated photonics. They seek a Photonics Test Development Engineer to own optical test and characterization, build automated test systems, and collaborate across design and fabrication teams to accelerate the learn-build-test cycle.

Ideal candidates have hands-on experience with photonic/test setups, laser characterization, Python automation,

Qualifications

  • Hands-on experience designing, assembling, and automating optical test and characterization setups.
  • Experience characterizing photonic or optoelectronic devices, including fiber coupling and grating measurements.
  • Knowledge of laser device physics and practical laser characterization skills.
  • Strong Python experience for test automation, instrument control and data analysis.
  • Ability to independently develop experimental solutions in a fast-moving R&D environment.

Responsibilities

  • Own end-to-end optical test development for cryogenic photonic networks, from setup design to validation.
  • Design, build, and automate optical, electrical, and optoelectronic test systems for chip- and package-level devices.
  • Develop automated fiber-to-chip coupling, alignment, and data acquisition workflows.
  • Characterize passive SiN photonic components and active devices like lasers and detectors.
  • Develop custom measurement techniques for cryogenic photonic hardware and build scalable test infrastructure.

Job description

Acceler8Talent is partnering with a well-funded AI hardware startup to develop cryogenic photonic networks that merge superconducting electronics with integrated photonics. They seek a Photonics Test Development Engineer to own optical test and characterization, build automated test systems, and collaborate across design and fabrication teams to accelerate the learn-build-test cycle.

Ideal candidates have hands-on experience with photonic/test setups, laser characterization, Python automation,

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