Application Engineer (Phase Retrieval)

Description

AIM Solutions is an early-stage deep-tech startup in Eindhoven building inspection and metrology equipment for the semiconductor industry. We are in active build phase, small, and growing.

Responsibilities

• You turn raw measurements into reconstructed images and explain what the images tell us. You work between the optics lab and the software team, and you become our in-house expert on this workflow and upcoming applications of our machine for the semiconductor manufacturing market.
• Run the path from measurement to result: decide what to measure, run scans on the lab setup, configure and run reconstructions in our Python/JAX pipeline, and judge the quality of the output
• Turn test cases from industry partners into measurement and reconstruction recipes, and automate them into a single-button-press workflow
• Analyze results rigorously and investigate when a reconstruction does not look right: artifacts, convergence, noise, alignment
• Drive the experiment loop with the optics and hardware engineers, and feed findings back into the algorithms and the tool design
• Your profile
• About 3 years of hands-on experience in a technical role (industry, PhD, or equivalent) with imaging, optics, or scientific data analysis
• Practical experience with phase retrieval or coherent imaging, for example ptychography, CDI, holography, or Fourier-optics-based reconstruction. You have run reconstructions and interpreted the results
• Strong Python, with NumPy and SciPy. You write reproducible analysis code and maintain a pipeline from data ingest to results
• An experimental mindset: you design clean numerical experiments and know what to change to improve a result
• You work well with optics and hardware engineers and turn vague questions into repeatable tests
• Full professional proficiency in English
• Bonus:
• Hands-on experience with computational imaging and iterative reconstructions
• PyTorch or JAX, GPU computing
• Numerical optimization (gradient-based methods)
• Machine learning on physics-based or scientific data
• HDF5 and large datasets, Linux
• We care more about rigor and learning speed than about a perfect match. If you are earlier in your career but have worked with reconstruction data, apply anyway.

Benefits

• Ownership of the measurement-to-results workflow of a tool that does not exist anywhere else yet
• Small team, short feedback loops, real impact on the product
• Competitive salary for the Dutch market