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Technical Business Development Intern (Emerging Verticals) (f/m/d)
Quantumdiamonds · Munich HQ
Publicada em 21/10/2026
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DescriptionQuantumDiamonds is building the world's first commercial quantum sensing tools for chip failure analysis. Our Quantum Diamond Microscope (QDm) images magnetic fields with micrometer resolution, and that capability could matter far beyond semiconductors. As our Technical Business Development Intern for Emerging Verticals in the Data Science & Machine Learning team in Pre-Development, you help us find out where.Working directly with our project lead for Emerging Verticals, who mentors you, you explore new application fields for widefield magnetic imaging. You dig into the science and the markets behind them, talk to potential customers and users, and help turn promising ideas into first feasibility studies with our magnetic field imaging system. You see how a deep tech company decides where its technology goes next, and help shape that decision.This is a full-time internship for 6 months, starting as soon as possible.Who we areFounded 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 Quantum Diamonds?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
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