Senior Data Scientist - Quantum Sensing Applications at QuantumDiamonds GmbH
81671 München, , Germany -
Full Time


Start Date

Immediate

Expiry Date

24 Sep, 25

Salary

0.0

Posted On

25 Jun, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

DESCRIPTION

QuantumDiamonds transforms cutting‑edge quantum‑sensing research into production tools that let chipmakers see current flow inside advanced semiconductor devices in seconds. As a Senior Data Scientist you’ll own the end‑to‑end analytics of our quantum‑diamond microscope - optics, electronics and signal processing - and lift its performance through rigorous data‑driven engineering.

WHO WE ARE

Founded in 2022 as a spin-off of TU Munich, QD leverages quantum sensors to rapidly capture three-dimensional current maps within multi-layer chips. Our 30-strong team of physicists, engineers, and data scientists works side by side with major semiconductor manufacturers, helping them in chip debugging and accelerating their yield analysis. Backed by top-tier deep tech investors, semiconductor experts, and strategic public programs, we have ensured long-term stability, shifting from breakthrough to scale - and shaping the next chapter in chip testing.

ABOUT US

QuantumDiamonds develops and deploys world-leading quantum sensing technologies and tools for the failure analysis and metrology of a new generation of semiconductor chips, enabling innovation within the heterogeneous integration and advanced packaging era. In close collaboration with leading customers across the globe, our expert teams of quantum physicists, engineers, and data scientists design metrology tools that move the industry forward.
If you have any questions regarding the application process or whether you are the right fit for QuantumDiamonds GmbH, please don’t hesitate to contact us at careers@quantumdiamonds.de.

Responsibilities
  • Analyse quantum‑sensing datasets, extract physical insight and turn it into actionable feedback for customers.
  • Design, execute and interpret experiments that probe the optical, electronic and digital signal chains of our microscopes.
  • Pinpoint bottlenecks and introduce improvements across hardware and software, championing data‑driven engineering practices.
  • Mentor junior data scientists and raise the bar for analysis, documentation and reproducibility.
  • Communicate findings in clear reports and concise visuals to both internal teams and external partners in the semiconductor ecosystem.
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