Automotive Robotics & Vision Engineer

Business and Engineering Solutions (BES)

Brussel Hoofdstad

Sur place

EUR 90 000 - 120 000

Plein temps

Il y a 12 jours
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Avantages offerts par ce poste

Gross salary package (13.92 months)
Lunch allowance
Entertainment expenses
Company car & fuel card
Group insurances

Résumé du poste

B.E.S. (Business and Engineering Solutions) is seeking a Robotics Engineer to coordinate, define and execute robotics activities in the automotive sector. You will combine perception, control and learning methods to demonstrate robust robotic policies in real-world tests.

The role requires a PhD in robotics or related field, fluent English, and experience with ROS, Gazebo, Omniverse and OpenCV/PyTorch. Expect a dynamic environment focused on innovation and technical excellence.

Qualifications

  • PhD in robotics or related topics.
  • Fluent in English (written and spoken).
  • Interested in working in a sector at the heart of innovation.
  • Knowledge of robotisation (ROS 1 or ROS 2).
  • Experience with robotic simulation: Gazebo, NVIDIA Omniverse, Habitat.
  • Proficient in OpenCV, PyTorch, TorchVision.
  • Strong analytical and problem solving skills with good attention to detail.

Responsabilités

  • Coordinate, define and execute robotics activities in the automotive sector.
  • Integrate perception and control algorithms into robotic systems for real-world testing and demonstrations.
  • Develop motion control algorithms with reinforcement/imitation learning.
  • Apply perception using computer vision methods and foundation models.
  • Utilise physics simulation environments for training and evaluation of robotic policies.

Connaissances

English fluency
Analytical thinking
Problem solving
Attention to detail

Formation

PhD in robotics or related

Outils

ROS 1/2
Gazebo
NVIDIA Omniverse
Habitat
OpenCV
PyTorch
TorchVision

Description du poste

B.E.S. (Business and Engineering Solutions) is seeking a Robotics Engineer to coordinate, define and execute robotics activities in the automotive sector. You will combine perception, control and learning methods to demonstrate robust robotic policies in real-world tests.

The role requires a PhD in robotics or related field, fluent English, and experience with ROS, Gazebo, Omniverse and OpenCV/PyTorch. Expect a dynamic environment focused on innovation and technical excellence.

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