Senior Data Scientist - Quantum Sensing Applications

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.

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.

Picture this:

• A machine that catches what others miss – in milliseconds.
• Physics, data, and engineering are working hand in hand to build tools that matter.
• An international team, who loves solving hard problems and where knowledge flows fast.

• You'll get to build a company together with a brilliant and welcoming team on a product that has never been done before.
• Our technology is the cutting edge of tomorrow, starting today and not in 10 years.
• You will work directly with major semiconductor companies from Day 1.
• You'll get virtual shares and act on behalf of the entire company, beyond just your own team.
• You’ll be part of a high-growth company backed by top-tier investors.

• 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.

• PhD in Physics, Optical/Electrical Engineering, Applied Mathematics, or a closely related discipline ; exceptional candidates with an MSc and 6+ years of hands-on R&D experience are also encouraged to apply.
• Proven track record of 4+ years in a data science and R&D setting outside of academia working with complex optical and/or electronic measurement equipment.
• Expertise in statistical data analysis, experimental design and signal processing with a passion for data‑driven decision making.
• Demonstrated experience developing advanced algorithms for signal processing - from concept through to deployment.
• Fluency in Python (NumPy, SciPy, pandas, matplotlib) and version control.
• Ability to translate raw data into clear stories for technical and non‑technical audiences .
• Collaborative mindset and willingness to work hands‑on in the lab .
• A background in quantum sensing technologies is a significant plus.

• Competitive salary with equity participation.
• 30 days of paid vacation plus public holidays.
• Annual learning and development budget.
• Regular off-sites and team events.