Job Description

Stillingsbeskrivelse

Do you want to work with computer vision and AI? Are you intrigued by working with our key technology areas, which carries a high strategic focus?

Join us and help shape tomorrow’s technologies within airport innovation, working with cutting‑edge vision, AI and robotics.

As our new Computer Vision & AI Engineer, you will become part of a cross‑functional team consisting of highly skilled colleagues within robotics, vision, mechanical and electrical engineering, and software development. We strive for a high competence level and a collaborative, learning‑oriented environment.

The position is located in Aarhus, and you will engage with stakeholders across the organization, both locally and internationally.

Your tasks

You will work with advanced computer vision and AI techniques, including machine learning, multi‑modal sensor fusion, synthetic data generation, simulation, and classical feature‑based algorithms. Our vision technologies support real‑time perception, tracking, object understanding and robotic control.

More specifically, you will:

• Develop and refine classification models for robust profiling of irregularly shaped items.
• Design and implement point‑cloud fusion and 3D processing pipelines combining multiple sensor modalities.
• Build and optimize detection and segmentation models for reliable object localization and continuous tracking in dynamic environments.
• Invent and evaluate vision‑driven decision inputs that can be integrated into high‑level algorithms—e.g. using classifications, object attributes or spatial insights to influence robotic planning strategies.
• Collaborate closely with robotics engineers to support real‑time perception‑based robot control.
• Work hands‑on with tools and languages such as Python, C++, PyTorch, TensorFlow, CUDA, and modern 2D/3D vision frameworks.
• Facilitate the selection and integration of camera and depth‑sensing technologies such as stereo, structured‑light, ToF and LiDAR.
• Contribute to GPU‑accelerated processing, real‑time systems, and performance‑critical perception pipelines.

First or second job?

We expect you to have a degree in computer science, robotics, computer vision, machine learning or a related field – you might already have had your first job experience, but you can also be a newly graduate, looking for your first job. No matter what experience you bring, we do expect the following:

• A solid understanding of the fundamentals of computer vision and AI.
• Experience or strong interest in areas such as machine learning, 3D perception, point‑cloud processing, synthetic data, feature extraction, and multi‑sensor systems.
• Interest in combining robotics and vision technologies to solve complex automation challenges.

Curious and independent

In general, you are independent and detail-oriented, driven by technology, curiosity and a desire to learn, always with a proactive mindset and high attention to quality. You take pride in staying one step ahead.

Furthermore we are looking for the following:

• You are innovative and not afraid to suggest unconventional concepts or ideas.
• You enjoy exploring, experimenting and playing with the newest technologies, and you thrive in environments where investigation and iteration are part of the daily work.
• You are open‑minded and outgoing, and you collaborate naturally with colleagues across different profiles and disciplines.
• You communicate clearly and enjoy knowledge‑sharing.
• You are persistent, structured, and able to maintain focus on long‑term goals.

Interested?

If you have any questions regarding this position, please do not hesitate to contact Technical Project Manager Jacob Kastrup on +45 3171 7329 or Talent Acquisition Lead Søren Vestergaard Holm on +45 3176 0448.

BEUMER Group

Conveying, loading, palletising, packing, sortation and distribution – BEUMER Group is a leader within the development and manufacture of high-technological intralogistics systems for global markets. Our employees stand out from others thanks to their ability to supply innovative solutions to our customers. They can do this because they know the industry and are passionate about continuously developing and expanding their knowledge. We support these high standards through teamwork, mutual respect and a work culture based on trust that fosters stability and security for all of our employees. Our common goal is to implement outstanding and innovative projects worldwide.