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Systems Engineer U&V (ADS Getafe)

On-site in Getafe·Added 5 days ago

Bertrandt España

31 open roles

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Overview

Requirements

Have the right to work in Spain
Bertrandt España doesn't mention sponsorship in the ad.
Work in English
English is required, per the ad.
Work on-site in Getafe
No relocation package mentioned.
University degree
“University degree in Electronics Engineering, Telecommunications Engineering, Computer Engineering or a related field.” — per the ad.

Pay & benefits

What you'll get

Flexible working hours to support your work-life balance.
Competitive compensation package.
Continuous training and professional development opportunities.
A collaborative and team-oriented work environment.
Participation in innovative and cutting-edge technology projects.
Regular employee events to connect and celebrate achievements.

If you are passionate about Computer Vision, imaging systems and advanced technology development, we would love to hear from you.

We are Bertrandt.

An independent, international engineering service provider with decades of expertise. With cross-industry know-how and a comprehensive understanding of systems and products, we create technological solutions across the entire value chain. We focus on the trending topics of digitalization, e-mobility, and autonomous systems, primarily for the automotive, aerospace, defense, and mechanical engineering industries, consistently enabling the development of tailor-made solutions. Our goal: to accelerate technological progress and make a meaningful contribution to a sustainable future. We work toward this every day - with approximately 12,000 employees at over 50 locations worldwide.

At Bertrandt, we place great importance on equal treatment and equal opportunity. Our hiring decisions are based on the experience and skills of the applicants. People with severe disabilities are warmly welcomed and will be given preference in hiring if equally qualified.

Are you interested?

We look forward to receiving your application!

Requirements

What we're looking for

University degree in Electronics Engineering, Telecommunications Engineering, Computer Engineering or a related field.
Experience working with industrial cameras and image acquisition systems.
Strong understanding of image capture parameters and their impact on Computer Vision performance.
Knowledge of applied optics, including focal length, field of view (FOV), aperture, depth of field and optical distortions.
Experience in camera system selection, integration and validation.
Familiarity with industrial standards and protocols such as GigE Vision, USB3 Vision, GenICam and Camera Link.
Experience working with hardware suppliers and technical documentation analysis.
English level B2 or higher.
Proactive mindset, analytical thinking and strong communication skills.

The role

We are looking for an Image Acquisition & Computer Vision Systems Engineer to join our team and contribute to the development of advanced vision-based solutions.

You will be responsible for defining, evaluating, integrating and optimizing image acquisition systems for Computer Vision applications, acting as the technical interface between hardware suppliers and vision software development teams. Your expertise will be key in ensuring that camera and imaging systems deliver the performance required by advanced image processing and AI algorithms.

What you'll do

Define and select cameras, optics, lighting systems and image acquisition components according to project requirements.
Manage technical interactions with camera and vision system suppliers.
Evaluate hardware performance and perform technical trade-off analyses between different imaging solutions.
Analyze and optimize image acquisition parameters such as resolution, frame rate, exposure time, gain, dynamic range, color depth and synchronization.
Ensure the successful integration of image acquisition systems within the overall application architecture.
Perform validation, calibration and commissioning activities for vision systems.
Collaborate with Software, AI and Computer Vision teams to adapt hardware configurations to algorithm and model requirements.
Identify technical risks and propose improvements related to image acquisition and processing performance.