Computer Vision Expert

Foundation Robotics Labs Inc.; München; Vor Ort; EUR 60.000 - 90.000; Vollzeit

Zusammenfassung

Foundation Robotics Labs Inc. recherche des ingénieurs et des scientifiques de talent pour développer des robots avancés. Le poste implique la construction de pipelines de perception robotiques, l'intégration de modèles de vision, et la collaboration avec des équipes d'IA pour garantir une interaction fluide entre perception et action. Les candidats doivent avoir des compétences solides en vision par ordinateur, apprentissage profond et être passionnés par les défis techniques.

Qualifikationen

• Expérience avérée en vision par ordinateur et méthodes basées sur l'apprentissage profond.
• Compétence dans l'intégration de systèmes de vision avec action et contrôle en robotique.
• Capacité à travailler avec des données vidéo en temps réel sur des robots.

Aufgaben

• Construire et maintenir des pipelines de perception robustes pour les robots humanoïdes.
• Intégrer des modèles de vision à la pointe avec contrôle en temps réel et prise de décision.
• Assurer une compréhension fiable de la scène dans des environnements variés.

Kenntnisse

Computer Vision

Deep Learning

Visual SLAM

Object Detection

Segmentation

Real-time Video Processing

Sensor Calibration

Collaboration

Python

PyTorch

Ausbildung

Bachelor’s or Master’s degree in Computer Vision, Robotics, or Machine Learning

PhD in a related field

Tools

ROS2

NVIDIA Isaac

Jobbeschreibung

Our mission is to create advanced robots that can operate in complex environments, reducing human risk in conflict zones and enhancing efficiency in labor-intensive industries.

We are on the lookout for extraordinary engineers and scientists to join our team. Your previous experience in robotics isn't a prerequisite — it's your talent and determination that truly count.

We expect that many of our team members will bring diverse perspectives from various industries and fields. We are looking for individuals with a proven record of exceptional ability and a history of creating things that work.

Our Culture

We like to be frank and honest about who we are, so that people can decide for themselves if this is a culture they resonate with. Please read more about our culture here: https://foundation.bot/culture .

Who should join

• You deeply believe that this is the most important mission for humanity and needs to happen yesterday.
• You are highly technical - regardless of the role you are in. We are building technology; you need to understand technology well.
• You care about aesthetics and design inside out. If it's not the best product ever, it bothers you, and you need to “fix” it.
• You don't need someone to motivate you; you get things done.

Why We Are Hiring for This Role:

• To build and maintain robust perception pipelines for our humanoid robots.
• To integrate state-of-the-art vision models with real-time control and decision-making.
• To ensure reliable scene understanding in diverse, real-world environments.
• To develop fast and accurate pipelines for visual grasping, navigation, and human-robot interaction.
• To support continuous learning from real-world deployment data.

What Kind of Person We Are Looking For:

• Strong background in computer vision, with a focus on deep learning-based methods.
• Hands-on experience with modern vision architectures (e.g. ViTs, SAM, DINO, Diffusion, Mask2Former, etc.).
• Proficient with visual SLAM, 6D pose estimation, object detection, and segmentation.
• Comfortable working with real-time video data on robots in uncontrolled environments.
• Experience integrating vision with action and control systems in robotics.
• Fluent in Python and PyTorch; C++ is a plus.
• Familiarity with ROS2, NVIDIA Isaac, or similar robotics frameworks.
• Can train, fine-tune, and evaluate large vision models, including with custom datasets.
• Understands sensor calibration, synchronisation, and multi-camera setups.
• Collaborates well with AI, control, and hardware teams to close the loop from perception to action.
• Bachelor’s or Master’s degree in Computer Vision, Robotics, or Machine Learning. PhD is a strong plus.