Software Architect

• Full technical ownership of a sophisticated, multi-layered software platform at a growing deep-tech company

• Advanced work spanning high-performance computing, physics-based algorithms, and complex metrology systems

Invisix Measuring Systems is a fast-growing advanced semiconductor metrology company based in Eindhoven. The Software Architect will own the technical direction of the inference software platform, connecting multiple teams working across the full stack and getting hands-on with the most complex technical challenges. As the product scales, the team will grow around this role, offering real scope to shape the function over time.

Key responsibilities:

• Define and maintain the software architecture across the full stack, ensuring all subsystems integrate effectively into a scalable, coherent platform

• Coordinate technical work allocation across internal and external development teams, aligning scope, deliverables, and timelines with the architecture roadmap

• Oversee high-performance computing solutions designed to process large-scale, complex metrology data

• Guide the speed optimisation of algorithms for measurement data interpretation, utilising high-performance computing infrastructure

• Define clear technical agreements with external development partners on deliverables and how they are qualified, ensuring alignment with the overall architectural direction

• Dive into technical problems at any level of the stack when needed, providing hands‑on expertise on the most challenging issues

Benefits:

• Competitive salary + benefits package

• Employee Share Ownership Plan

• Learning and development budget to support your professional growth

• Flexible working arrangements

Invisix Measuring Systems

Semiconductor manufacturers can't build what they can't measure. At Invisix, we're solving one of the most technically demanding problems in chip manufacturing: reconstructing the detailed 3D geometry of the most advanced next‑generation devices.

Founded by two ASML veterans with deep roots in short wavelength metrology, we've spent years de‑risking this technology. Now we're building the team to bring it to market. If you love to take ownership, collaborate closely with innovators who care deeply about their contributions, and want your work to matter at the frontier of what's physically possible, this is the place to be.

Diversity and Inclusion

At Invisix, we are committed to building a diverse and inclusive culture where ideas and humans thrive. Our recruitment reflects this commitment. We welcome applicants from all backgrounds and will judge every candidate on their merits and what they can contribute to our team.

We value people regardless of race, ethnicity, gender, sexual orientation, age, religion, disability or any other aspect of your identity. We're looking for talented, driven individuals who share our values of integrity, collaboration, and making an impact. If you believe you can thrive with us, we want to hear from you.

Data Processing

When you apply for this position, your information will be processed by Invisix Measuring Systems and held in our applicant tracking system. Your data may be retained to consider you for current and future opportunities at Invisix. Please review our privacy policy to understand how your data is handled.

https://invisix.com/privacybeleid/

• Strong proven expertise in SW engineering and architecture, preferably in a multi‑competence environment where SW engineering, physics, applied mathematics and computer science go hand in hand

• Nice to have: PhD in computer science, physics, applied mathematics, computational science

• 7 to 10 years of professional software development experience with architectural responsibility

• 3 to 5 years as technical lead for a team or complex software project, driving technical direction and decisions (not a people‑management role)

• Strong, equally proficient programming skills in Python and C/C++ (or a comparable systems language), including experience profiling and optimizing performance‑critical code

• Familiarity with C# is a plus

• Proven experience with high-performance computing, parallel processing, or large‑scale data processing

• Background in semiconductor physics, metrology, or measurement technologies is a plus

• Familiarity with algorithm development, mathematical modelling, inverse problems, or computational physics is a plus

• Experience with physics‑informed machine learning or deep neural networks applied to physical systems is a plus