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Salary
≈ $32k – $57k per year (Estimated)
Location
In office (Stuttgart)
Seniority
Intern
Employment
Internship

Confirmed on the employer's own hiring board on Oct 26, 2026. First seen by Alion on Sep 2, 2026.

Overview
Company
Impact
Profile match
Quantum Brilliance develops diamond-based quantum computers that run at room temperature. Its accelerators are designed to sit alongside conventional computing hardware. The company works with research centres in Australia and Germany.

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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