Application Engineer - Phase Retrieval

Aim Solutions Nl — Netherlands · Posted ~1 day ago

Mid Full-time Onsite

Skills

Python JAX phase retrieval optics image reconstruction measurement analysis experimental testing data analysis

🔓 Log in to save this job, tailor your resume & track your apply process — 7 days free, no card needed.

Log in to add to target list

Summary ✨ AI‑Generated

A full-time, onsite Application Engineer role for a medior engineer with around three years of relevant experience. You will work between an optics lab and a software environment, running measurements, configuring image-reconstruction pipelines in Python/JAX, analyzing results, developing automated workflows, and translating industry test cases into repeatable measurement recipes.

Highlights

Medior deep-tech engineering role combining optics laboratory work with software development. You will own the measurement-to-result workflow, develop reconstruction processes, automate test cases, and become an internal expert in imaging workflows for semiconductor applications.

Description

Location: Eindhoven, the Netherlands (on-site, High Tech Campus) | Type: Full-time | Level: Medior, about 3 years of relevant experience About Us 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. The role 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. You will: 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 outputTurn test cases from industry partners into measurement and reconstruction recipes, and automate them into a single-button-press workflowAnalyze results rigorously and investigate when a reconstruction does not look right: artifacts, convergence, noise, alignmentDrive 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 analysisPractical experience with phase retrieval or coherent imaging, for example ptychography, CDI, holography, or Fourier-optics-based reconstruction. You have run reconstructions and interpreted the resultsStrong Python, with NumPy and SciPy. You write reproducible analysis code and maintain a pipeline from data ingest to resultsAn experimental mindset: you design clean numerical experiments and know what to change to improve a resultYou work well with optics and hardware engineers and turn vague questions into repeatable testsFull professional proficiency in English Bonus: Hands-on experience with computational imaging and iterative reconstructionsPyTorch or JAX, GPU computingNumerical optimization (gradient-based methods)Machine learning on physics-based or scientific dataHDF5 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. What we offer Ownership of the measurement-to-results workflow of a tool that does not exist anywhere else yetSmall team, short feedback loops, real impact on the productCompetitive salary for the Dutch market