Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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У роли понятный практический фокус в амбициозном стартапе на стыке квантовых технологий и ИИ, но ранняя стадия компании и широкий круг аппаратных задач добавляют неопределённости.
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Широкий профильНа стыке квантовых технологий и ИИАктуальные инструментыРабота с реальным оборудованием
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Текст:
Hirify AI/Оригинал
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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