Foundation is developing the future of general purpose robotics with the goal to address the labor shortage.
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.
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.
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, synchronization, 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.
We provide market standard benefits (health, vision, dental, 401k, etc.). Join us for the culture and the mission, not for the benefits.
The annual compensation is expected to be between $80,000 - $1,000,000. Exact compensation may vary based on skills, experience, and location.
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VollzeitArbeitsmodell:
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Development & ITErfahrung:
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AngestelltVeröffentlichungsdatum:
04 Okt 2025Standort:
Munich
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