Quantum Dot Process & Characterisation Engineer (Quantum Computing)

Location: Palaiseau, Île-de-France, France; onsite

Company

hirify.global develops quantum computing hardware and software, with a focus on scalable, energy-efficient quantum solutions and photonic technologies.

What you will do

• Prepare GaAs/AlGaAs samples containing InAs quantum dots for the first steps of single-photon source fabrication.
• Perform cleanroom processing, including chemical surface treatment, PECVD deposition, and high-temperature annealing.
• Characterise quantum dots before and after processing using photoluminescence and white-field imaging, including at cryogenic temperature.
• Compare measurements with acceptance criteria, validate samples, and adjust process recipes within defined process windows.
• Analyse data with Python, maintain complete sample traceability, and report results to Production and R&D.
• Contribute to measurement automation, process optimisation, new process qualification, and definition of validation checks.

Requirements

• Master’s degree (Bac+5) in Materials Science, Semiconductor Physics, Optics, Micro/Nanofabrication, or a related field.
• Solid foundations in semiconductor physics, particularly III-V materials, and in optics and semiconductor fabrication processes.
• Fluency in Python for data analysis.
• Excellent attention to detail, rigorous experimental practice, and strong troubleshooting and problem-solving skills.
• Ability to investigate technical problems using experimental data and scientific literature.
• Clear documentation and communication skills.
• Fluent English, written and spoken, required.

Nice to have

• Hands-on cleanroom experience, ideally with III-V device fabrication, wet and dry etching, PECVD deposition, or thermal processing.
• Experience with optical characterisation and building or aligning photoluminescence and white-field imaging setups.
• Experience with cryogenic measurements, such as a 40 K Stirling cryostat.
• Experience automating instruments or measurement setups with Python.

Culture & Benefits

• Hands-on daily work in the cleanroom and laboratory, with ownership of sample validation developing over the first year.
• Collaboration with Production and R&D in a respectful, inclusive, and welcoming environment.
• Profit-sharing, company savings plan, and 100% health coverage through Alan.
• 50% transport reimbursement or sustainable mobility bonus, meal vouchers through Swile, and Gymlib fitness support.
• Childcare assistance and referral bonuses of €1,000–€2,000.

Hiring process

• Talent Acquisition interview lasting 30–45 minutes, followed by a 45-minute Hiring Manager interview.
• Technical interview and team meeting, followed by two reference checks and an offer.