Senior Algorithm Engineer (Phase Retrieval)

Aim Solutions·Headquartersenior

In short

→Desarrollar y optimizar motores GPU para recuperación de fase en metrología de wafers semiconductores.
→Trabajar en problemas inversos con enfoque físico y numérico, desde teoría hasta código productivo.
→Rol clave en una startup pionera, con impacto directo en hardware de nueva generación.

Full professional proficiency in English

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The questions they'll ask you

1. ¿Cómo aplicarías una formulación diferenciable del modelo de propagación de ondas en JAX para mejorar la convergencia en una reconstrucción de fase?

🔒 +7 more questions

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💵 USD · Remote · No visa

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What they ask for

✓Doctorado o equivalente en física o matemáticas aplicadas.
✓Experiencia en algoritmos numéricos para problemas inversos o imagen computacional.
✓Conocimiento profundo de óptica de Fourier y propagación de ondas.
✓Habilidad comprobada en Python y frameworks GPU como JAX o PyTorch.
✓Capacidad para traducir métodos de investigación en código testado y eficiente.
✓Habilidades de razonamiento físico que conecten modelos con mejoras en reconstrucción.

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

JAXPyTorchTensorFlowCUDAPythonGPU computingFourier opticsWave propagationDifferentiable programmingPerformance profiling

Who should you write to at Aim Solutions?

Your free dossier identifies the people who'd interview you — their background, what they value, and how to reach out so you stand out before applying.

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. Your profile A PhD, or equivalent research depth from industry, in a physics-heavy or numerically heavy field Several years developing numerical or scientific algorithms, ideally in imaging, inverse problems, or a comparable domain Strong numerical optimization, both gradient-based and iterative methods Working knowledge of Fourier optics and wave-propagation physics Strong Python and array programming, with experience in GPU frameworks such as JAX, PyTorch, TensorFlow, or CUDA You write tested, maintainable code that others can build on You can reason from physics to algorithm and back, and judge what will improve a reconstruction Technical curiosity; we will teach you the specifics of our computational imaging approach Full professional proficiency in English Bonus experience in any of these: Phase retrieval, coherent diffractive imaging, holography, or tomography Physics-informed machine learning, differentiable forward models, automatic differentiation Regularization and constrained optimization for ill-posed inverse problems High-performance and GPU computing with performance profiling Linux 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 yet Small team, short feedback loops, an open environment to have real impact Competitive salary for the Dutch market Find more English Speaking Jobs in Netherlands on Arbeitnow

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