Skills this job asks for
Machine learningStatisticsData engineeringAgileLeadershipProduct managementCI/CD
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Sponsorship verdict
No sponsorship evidence yet
No government record and no wording either way. Not a refusal: ask the recruiter.
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No government sponsor record hereThis employer posted directly and does not match a government sponsor register.
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The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
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Can’t check pay against the visa rulesNo salary stated. Germany EU Blue Card needs at least €50,700 a year (shortage-occupation / recent-graduate: €45,934).
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- Can’t check pay against the visa rules
- No salary stated. Germany EU Blue Card needs at least €50,700 a year (shortage-occupation / recent-graduate: €45,934). Source: https://www.make-it-in-germany.com/en/visa-residence/types/eu-blue-card, rules effective 2026-01-01.
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Sponsorship unknown
No register record and no sponsorship wording in the posting. Worth asking the employer before investing significant time.
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About the role
Description
QuantumDiamonds is a novel equipment vendor from Germany which builds magnetic field imaging systems based on quantum sensors. Our Data Science & Machine Learning team in Pre-Development owns the chain from raw quantum sensor data to the current map an engineer can act on: the statistical evaluation of the sensor signal, the simulation and training data pipelines, the reconstruction of fields and currents, with the machine learning pipeline for three-dimensional current in production today, and the validation of every map against simulation and reference measurements. The machine learning here is physics-based: supervised models on measurement data, inverse problems, image reconstruction. It is not a generative AI role.
We are looking for a Team Lead to take over this team of currently eight data scientists and machine learning engineers plus interns, with a clear growth perspective, from our Head of Pre-Development, who has led it directly until now. You lead the people, own the backlog as product owner in our Scrum setup, and are accountable for a production ML pipeline that chipmakers rely on, with protected time for the research that becomes the next generation of the QDm. You work alongside two peer team leads in Pre-Development.
This is a leadership role with a strong technical spine, not a principal engineer role with a few reports.
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 strong, international team of over 70, including physicists, engineers, data scientists, and other experts, works side by side with major semiconductor manufacturers, supporting chip debugging and accelerating 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.
Why join QuantumDiamonds?
Picture this:
• Quantum sensors that see inside the most advanced chips on Earth, right where two frontier fields collide.
• Nobel-Prize physics aimed at real customers with real problems, in production now, not someday.
• Physicists, data scientists, and engineers building side by side, turning deep science into tools the industry actually runs on.
• An international team that runs at hard problems for fun, where knowledge moves fast and so do you.
Still unsure about why joining us?
• You'll get to build a company together with a brilliant and welcoming team on a product that has never been done before.
• From Day 1, you'll own your own topics end to end and see the direct impact of your work on how the world sees QuantumDiamonds.
• Our technology is the cutting edge of tomorrow, starting today and not in 10 years.
• You’ll be part of a high-growth company backed by top-tier investors.
Let’s make the invisible visible!
What will you do
• Lead and grow the team: hire, develop and keep its data scientists and ML engineers delivering together.
• Own the backlog as product owner in our Scrum setup: prioritize production reliability against research, aligned with Applications and the two other product owners in Pre-Development and the company roadmap.
• Own the production ML pipeline for 3D current reconstruction end to end, from training data to release, and set the engineering standards it needs: CI/CD, reproducibility, testing, and how the team uses AI coding agents.
• Own the data science side as well: the evaluation that turns raw sensor data into field maps, the validation that says whether a map can be trusted, the FEM simulations behind the models, and the measurement algorithms for the next platform generation.
• Pathfind our data strate
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