Quantum Sensing Systems Intern
- LocationStuttgart, Baden-Württemberg, Germany
- Work typeHybrid
- Salary20 EUR an hour
- EmploymentInternship
- Posted29 October 2026
- SourceQuantum Brilliance's careers page (BambooHR)
Live checkFirst seen yesterday; still listed on Quantum Brilliance's careers page 1 h ago.
At a glance
- Skills and toolsPython, MATLAB
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About the role
The intern will support the quantum sensing team in the development, integration, testing, and characterization of next-generation quantum sensing technologies. The role will involve laboratory-based engineering activities, experimental measurements, data analysis, prototype integration, and technical documentation. The position is expected to work closely with both the hardware/electronics and physics teams.
Key Accountabilities:
- Support hardware and electronics development activities under engineer supervision.
- Assist with laboratory measurements, testing, and characterization of sensing subsystems.
- Support prototype build, integration, bring-up, and troubleshooting activities.
- Assist with evaluation of optical, microwave, electronic, and packaging concepts for future sensing systems.
- Collect, analyse, and document experimental results.
- Support verification, validation, and prototype evaluation activities.
- Assist with technical documentation and engineering records.
Essential Technical Capabilities:
- Physics, electrical engineering, mechatronics, engineering physics, or related technical background.
- Ability to work in a laboratory environment.
- Basic data analysis and problem-solving skills.
- Strong attention to detail and ability to document technical work.
- Ability to collaborate across multiple technical disciplines.
Desirable Technical Capabilities:
- Experience with laboratory instrumentation and measurements.
- Electronics development or testing experience.
- Exposure to optics, photonics, RF/microwave systems, or sensing technologies.
- Python, MATLAB, or equivalent technical computing tools.
- Experience with experimental design and data analysis.
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