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Invisix Measuring Systems

Non-destructive 3D nanoscale chip imaging

Algorithm Architect

AI & Machine LearningUpdated on Nov 15
Full-timeEindhoven, NetherlandsNo salary listedIn-person

About the Job

Requirements

  • A PhD in computational physics, applied mathematics, computer science, or a related field is preferred.
  • At least 8 years of post-PhD experience, including technical leadership or mentoring of other engineers or scientists.
  • Deep knowledge of computational optical methods, specifically Fourier optics.
  • Significant depth in at least one of solving differential equations, optimization, or machine learning, with sound working judgment across the others.
  • A background in inverse problems and model-based reconstruction, or a closely adjacent computational field such as computational imaging, tomography, or geophysical inversion.
  • Awareness of good software-engineering practices, including testing, reproducibility, and versioning.
  • Experience explaining algorithmic trade-offs clearly to non-specialist audiences.
  • Ability to conceptualize a problem, choose and justify an appropriate algorithmic approach, and think in terms of key performance indicators rather than a checklist of past projects.
  • A deadline-oriented approach and a strong sense of ownership over end-to-end results.

Responsibilities

  • Own architecture and design decisions for algorithms used in data conditioning, data processing, and measurement reconstruction.
  • Translate requirements from other engineering and field-application functions into concrete algorithm requirements.
  • Define compute hardware specifications, such as CPU and GPU capacity, needed to meet product measurement-throughput targets.
  • Collaborate with the Software Architect on engineering standards for the algorithm codebase and support the team's adoption of them.
  • Provide technical leadership and mentorship to the algorithm engineering team through direction-setting, coaching, and unblocking.
  • Define algorithm performance criteria for accuracy, robustness, and convergence, and establish a roadmap toward trusting results with less manual expert review.
  • Learn the measurement pipeline, current algorithms, and key technical priorities.
  • Meet with the algorithm engineering team and Software Architect and shape how the roles work together day to day.
  • Review current data-conditioning, data-processing, and reconstruction algorithms and identify where the architecture needs to evolve.
  • Begin defining the roadmap and success criteria for algorithm performance.

About the Company

Invisix Measuring Systems

Non-destructive 3D nanoscale chip imaging

Invisix Measuring Systems builds a soft X-ray metrology platform for non-destructive 3D imaging of buried nanoscale chip structures, designed for high-volume semiconductor manufacturing. It uses High Harmonic Generation to produce soft X-ray signals and applies proprietary reconstruction algorithms and machine learning to turn that data into 3D images. This enables viewing buried features that optical tools can’t resolve, with a focus on throughput suitable for complex 3D devices. The company has validated its approach with Intel and imec and recently closed a €20 million seed round with strategic investors to accelerate commercial systems and scale customer demonstrations.

Company size
11-50
Company stage
Seed
Total funding
$22M
Headquarters
Veldhoven, Netherlands
Founded
2025

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