- Freelance
- Brussels
Robotics-Vision Research Engineer – Brussels (Hybrid)
We are looking for a highly skilled and motivated candidate to join our AI Research team. The goal of the project is to create efficient digital twins for robots, utilising research collaboration with a leading European university.
In this role, you will be responsible for creating a mock-up setup that mimics a realistic task, extracting human demonstrations in simulation, and training robot policies. You will also be involved in validation and testing on real robots.
If you are a team player who thrives on responsibility, possesses strong robotics/vision skills, and has a deep understanding of vision foundation models, this role is for you.
Profile:
- Background in computer science or mechanical engineering.
- Research experience, minimum MSc level (PhD is a plus).
- Hands-on mindset with a practical, problem-solving approach.
- Self-motivated, able to work under pressure, and manage multiple tasks effectively.
- 1-3 years of relevant experience.
Expertise:
- Experience in integrating perception and control algorithms into robotic systems for real-world testing and demonstrations.
- Motion control algorithms using reinforcement or imitation learning.
- Computer vision and vision foundation models for perception.
- Experience with physics simulation environments for training and evaluating robotic policies.
- Knowledge of foundation models, including large vision and multi-modal models.
Technical Skills:
- Programming languages: Python, C/C++.
- Proficient in OpenCV, PyTorch, TorchVision.
- Experience with Linux, Docker, Git, and HPC (AWS and Azure experience is a plus).
- Familiarity with simulation environments such as Gazebo, PyBullet, Genesis, NVIDIA Omniverse, and Unity.
- Experience with ROS1 and ROS2 frameworks.
- Optional: Experience in Gaussian Splatting and 3D rendering methods.
If you are interested in this position – please send me an updated copy of your CV or call me on +31 (0) 20 888 1470.
Vivid Resourcing are committed to equality of opportunity for all applications from individuals are encouraged regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief and marriage and civil partnerships or any other characteristic protected by law.