Computer Vision Expert

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.