Computer Vision Engineer — High-Tech Semiconductor Systems

Settels Savenije Group of Companies; Eindhoven; On-site; EUR 39,000 - 61,000; Full time

Benefits offered by this job

Competitive salary

30 vacation days

Pension scheme

Travel allowance

Home working allowance

Challenging projects

Multidisciplinary team

Growth opportunities

Job summary

STTLS, based in Eindhoven, develops computer vision solutions for high‑tech semiconductor systems. You will translate measurement challenges into robust Python software using OpenCV, NumPy and SciPy, and define practical camera, lighting and calibration choices for reliable algorithms.

This engineering role collaborates with mechatronics, software, electronics and systems engineers to integrate vision into complete machines, ensuring robust performance in real cleanroom environments.

Qualifications

• Bachelor’s or master’s degree in Applied Physics, Electrical Engineering, Computer Vision, Software Engineering or a related field.
• 3 to 7 years of experience in applied computer vision, image processing, measurement systems or high-tech machine building.
• Strong understanding of image processing, signal processing, calibration and applied mathematics.
• Experience with Python for algorithm development, technical implementation and testing.
• Practical knowledge of optics, camera technology, lighting, resolution and measurement accuracy.
• Good Dutch and English communication skills.
• A practical engineering mindset and the ability to turn complex measurement problems into robust working solutions.

Responsibilities

• Develop and implement image-processing algorithms for high-precision measurement and alignment applications.
• Translate measurement concepts into efficient, maintainable Python software using libraries such as OpenCV, NumPy or SciPy.
• Define practical camera, lens, lighting and calibration choices needed to make the algorithms work reliably.
• Test, validate and optimize vision modules during system integration on real high-tech equipment.
• Improve measurement speed, accuracy and robustness under real production and cleanroom conditions.
• Work closely with mechatronics, software, electronics and system engineers to integrate vision functionality into complete systems.
• Document algorithm choices, test results and validation outcomes clearly.

Skills

Applied computer vision

Image processing

Measurement systems

High-tech machine building

Python programming

OpenCV

NumPy

SciPy

Dutch and English communication

Education

Bachelor’s or master’s degree in Applied Physics, Electrical Engineering, Computer Vision, Software Engineering or a related field

Tools

OpenCV

NumPy

SciPy

Job description

STTLS is entering a new phase: next to customer-driven engineering projects, we are developing new business in semiconductor tools based on our own IP position. We work directly forleading players in semiconductor manufacturing and semiconductor tool supply.

The Settels Savenije way of working defines how we create impact: we take ownership of program success, work in close cooperation with our clients’ stakeholders and contribute as an independent development partner.

From our base in Eindhoven, you develop practical computer vision solutions for high-tech semiconductor systems. The focus is on image-processing algorithms and Python-based implementation for precision measurement and alignment applications. You translate complex measurement challenges into reliable software, camera and lighting concepts, and validated vision modules that work in demanding cleanroom environments. This is an engineering role, not a pure research or AI role: your work must perform robustly in real machines.

What you will do

• Develop and implement image-processing algorithms for high-precision measurement and alignment applications.

• Translate measurement concepts into efficient, maintainable Python software using libraries such as OpenCV, NumPy or SciPy.

• Define practical camera, lens, lighting and calibration choices needed to make the algorithms work reliably.

• Test, validate and optimize vision modules during system integration on real high-tech equipment.

• Improve measurement speed, accuracy and robustness under real production and cleanroom conditions.

• Work closely with mechatronics, software, electronics and system engineers to integrate vision functionality into complete systems.

• Document algorithm choices, test results and validation outcomes clearly.

What you bring

• Bachelor’s or master’s degree in Applied Physics, Electrical Engineering, Computer Vision, Software Engineering or a related field.

• 3 to 7 years of experience in applied computer vision, image processing, measurement systems or high-tech machine building.

• Strong understanding of image processing, signal processing, calibration and applied mathematics.

• Experience with Python for algorithm development, technical implementation and testing.

• Practical knowledge of optics, camera technology, lighting, resolution and measurement accuracy.

• Good Dutch and English communication skills.

• A practical engineering mindset and the ability to turn complex measurement problems into robust working solutions.

Preferred experience

• Experience with cleanroom or high-vacuum environments.

• Knowledge of real-time image processing or machine learning for visual inspection.

• Experience working in multidisciplinary development teams for complex high-tech systems.

What we offer

• €3,500 to €5,500 gross per month, based on experience and a 40-hour workweek.

• 30 vacation days per year.

• Pension scheme with two-thirds of the premium paid by the employer.

• Travel allowance and home working allowance where applicable.

• Challenging projects for leading high-tech customers.

• A multidisciplinary team with physics, software, electronics, mechanics and systems expertise under one roof.

• Short lines, real responsibility and room to grow as a specialist or lead engineer.

At STTLS, you work close to the technology, close to the team and close to the result. If you like solving difficult measurement challenges and seeing your work become part of real high-tech systems, this is a strong opportunity to make an impact.