Senior Algorithm 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 algorithms at the core of our instrument: the GPU-accelerated engine for phase retrieval and wafer metrology. This is the deep end of computational imaging, where progress comes from understanding both the optimization and the physics. Concretely, you will: Develop and maintain our GPU-accelerated computational imaging engine for phase retrievalImprove reconstruction quality, convergence, and robustness across varied and imperfect datasetsDesign and implement new reconstruction methods: physics-based differentiable forward models, regularization and constraint schemes for ill-posed problems, and support for new acquisition modesTranslate methods from the literature and from our own ideas into tested, performant codeUse physical insight into the optical system to decide how to change the algorithm so that results improveProfile and optimize the engine for GPU performance on large datasets Your profile A PhD, or equivalent research depth from industry, in a physics-heavy or numerically heavy fieldSeveral years developing numerical or scientific algorithms, ideally in imaging, inverse problems, or a comparable domainStrong numerical optimization, both gradient-based and iterative methodsWorking knowledge of Fourier optics and wave-propagation physicsStrong Python and array programming, with experience in GPU frameworks such as JAX, PyTorch, TensorFlow, or CUDAYou write tested, maintainable code that others can build onYou can reason from physics to algorithm and back, and judge what will improve a reconstructionTechnical curiosity; we will teach you the specifics of our computational imaging approachFull professional proficiency in English Bonus experience in any of these: Phase retrieval, coherent diffractive imaging, holography, or tomographyPhysics-informed machine learning, differentiable forward models, automatic differentiationRegularization and constrained optimization for ill-posed inverse problemsHigh-performance and GPU computing with performance profilingLinux development environments This is a senior, research-to-production role. We expect a track record of taking new methods from concept to working, maintained code that runs in a real instrument. What we offer Ownership of the reconstruction algorithms at the heart of a tool that does not exist anywhere else yetSmall team, short feedback loops, an open environment to have real impactCompetitive salary for the Dutch market