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8 дней назад

Research Engineer (Quantum AI)

Формат работы
onsite
Тип работы
fulltime
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Research Engineer (Quantum AI): Building, integrating, and operating experimental hardware systems for quantum-accelerated AI servers with an accent on electronics, optics, timing, firmware, software, vacuum, and cryogenics. Focus on commissioning scientific subsystems, debugging cross-disciplinary hardware and software failures, and developing repeatable automation, calibration, and analysis tools.

Location: On-site in Ann Arbor, United States

Company

hirify.global Technologies develops quantum-accelerated AI servers that combine multiple qubit types in a fault-tolerant architecture to improve the cost, scale, speed, and energy efficiency of AI training and inference.

What you will do

  • Build, test, and commission electronic, optical, vacuum, and cryogenic subsystems.
  • Integrate lasers, RF and microwave hardware, control electronics, and data acquisition into experimental systems.
  • Debug failures across electronics, optics, timing, firmware, and software.
  • Develop automation, calibration, instrument-control, data-acquisition, and analysis tooling to make measurements repeatable.
  • Improve laboratory infrastructure and procedures for reliable system operation.
  • Document systems so other team members can operate, maintain, and reproduce the work.

Requirements

  • Hands-on experience building, aligning, integrating, or repairing real instruments and experimental setups.
  • Practical depth in one or more of optics and photonics; electronics; RF, microwave, and controls; embedded or FPGA development; vacuum and cryogenics; scientific software and automation; or device fabrication and characterization.
  • A track record of making systems work reliably and identifying the root cause of persistent failures.
  • Experience with Python or similar tools for instrument control, data acquisition, and analysis, including integration across hardware-control interfaces and software systems.
  • A B.S., M.S., or Ph.D. in physics, engineering, or a related field, or equivalent practical experience, especially in a hardware development or production industry.
  • Ability to work across disciplines and clearly report what worked, what failed, and what was fixed.

Culture & Benefits

  • Work in a grounded, optimistic, rigorous, and detail-oriented environment.
  • Collaborate openly with a strong sense of shared purpose and mission over ego.
  • Join a team working at the intersection of quantum computing and AI.
  • Applications are encouraged from candidates with diverse backgrounds.

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