Application Engineer (Phase Retrieval)

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 will own the path from a raw measurement to a reconstructed image, and the analysis that follows it. We want a data-minded engineer who can take this workflow end to end and grow into our in-house expert on it.

Concretely, you will:

• Own the end-to-end pipeline from data acquisition to reconstructed image: decide what to measure, configure and run the reconstruction pipeline, and turn raw datasets into results

• Translate industry test cases and customer requirements into measurement and process recipes, combining them into an automated, single-button-press execution workflow

• Analyze data rigorously and carry out deeper investigations when results need explaining

• Drive the experiment iteration loops with the optics and hardware teams

Your profile

• Background in phase retrieval and coherent optics: ptychography, coherent diffractive imaging, holography, or Fourier-optics-based imaging. You have worked with coherent measurement data before

• Rigorous, hands-on data analysis combined with strong Python and software engineering. You build and maintain a full pipeline from data ingest to analysis, with reproducible recipes

• A systematic, experimental mindset: you design clean numerical experiments and know what to change to improve a result

• Comfortable with scientific Python and array frameworks (NumPy, SciPy, and ideally PyTorch or JAX)

• Comfortable collaborating with optics, hardware, and industry advisors; capable of translating engineering questions and field problems into clear, repeatable test cases

• Technical curiosity; we will teach you our computational imaging methods and the metrology domain

• Full professional proficiency in English

Bonus experience in any of these:

• [Strongest bonus] Hands-on ptychography experience. Note: broader computational imaging (e.g., tomography) is valuable but not a substitute for coherent-optics experience in this role

• Machine learning, especially applied to physics-based or scientific data

• Numerical optimization (gradient-based methods)

• Data visualization and analysis

• GPU-accelerated computing (CUDA, JAX, PyTorch)

• Scientific data formats and large-dataset handling (HDF5)

• Linux development environments

We are open on seniority and background. If you analyze data rigorously, build solid pipelines, and learn fast, we want to talk and find a scope for the role to fit you.

What we offer

• Full ownership of the measurement-to-results pipeline of a tool that does not exist anywhere else yet

• Small team, short feedback loops, an open environment to have real impact

• Competitive salary for the Dutch market