DescriptionQuantumDiamonds 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.
We are looking for a Data Scientist to own one question for the team: can we trust this map, and if not, where in the chain did it go wrong? Every measurement, in our lab or at a customer, gets a verdict and a reason.
You build the checks that produce it, keep the catalogue of known artifacts and reference measurements behind it, and make it automatic for the routine cases so that your judgement goes to the hard ones.
When a check fails, you trace it to its source in the chain, fix it when it sits in the evaluation, and drive the fix with the owning engineer when it does not.
Our Applications engineers, who run the customer projects, rely on your verdict for what reaches the customer.
A senior data scientist on the team backs you on the hard calls at the start; the aim is that you become the owner of this question.
This is a hands-on analysis role, not a research position: the data is real, the chain is in daily use, and every improvement you make shows up in the next measurement.
Your background does not need to be in quantum sensing or semiconductors: if you have learned to tell signal from noise, calibration errors and artifacts in another demanding measurement system, we want to hear from you.
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 ove.