Computer Vision Engineer

Waywiser Technologies GmbH; Deutschland; Remote; EUR 70,000 - 100,000; Full time

Job summary

Waywiser Technologies GmbH is seeking a Computer Vision Engineer to design and optimize vision algorithms for real industrial inspections. You will build robust solutions for detection, segmentation, and precise measurement of components.

You will translate theoretical models into production-ready systems, addressing latency, noise, and edge deployment constraints while collaborating with embedded and application teams.

Qualifications

• Strong background in Computer Vision or ML.
• Experience with production-ready vision solutions.
• Ability to translate models into deployable systems.

Responsibilities

• Design and optimize computer vision algorithms for industrial inspection systems.
• Develop solutions for detection, segmentation and high-precision measurement.
• Improve model robustness under real-world variability.
• Analyze failure cases using production data and implement improvements.
• Collaborate with embedded and application engineers for deployment.

Skills

Computer Vision

Machine Learning

Python

OpenCV

PyTorch

Production deployment

Tools

OpenCV

PyTorch

Python

Job description

At Waywiser Technologies, we build intelligent inspection systems that operate in real industrial environments.

As a Computer Vision Engineer, you will develop vision algorithms that go beyond lab performance - designed to be robust under real production conditions, including variability in lighting, materials and geometry.

Your work will directly impact how reliably our systems perform in production.

What you will work on

• Design and optimize computer vision algorithms for industrial inspection systems
• Develop solutions for detection, segmentation and high-precision measurement of complex components
• Improve model robustness under real-world variability (lighting, noise, surface properties, geometry)
• Analyze failure cases and implement systematic improvements based on real production data
• Collaborate closely with embedded and application engineers to ensure deployability and system integration
• Contribute to production-ready system design - not just prototypes

What we look for

• Strong background in Computer Vision, Machine Learning or a related field
• Solid experience with Python and common CV/ML frameworks (e.g. OpenCV, PyTorch or similar)
• Ability to translate theoretical models into practical, production-ready solutions
• Understanding of real-world system constraints such as latency, noise, robustness and edge deployment
• Structured problem-solving skills and strong analytical thinking
• Ability to work across disciplines and align with engineering, product and deployment teams
• Clear and effective communication in both technical and non-technical contexts

What defines success in this role

• You build systems that perform reliably in production - not just in controlled environments
• You identify failure modes quickly and improve systems through structured iteration
• You think end-to-end: from data and models to deployment and system behavior
• You prioritize robustness and usability over theoretical perfection
• You contribute to solutions that scale across different customers and environments

Computer Vision Engineer

Your work will directly impact how reliably our systems perform in production.