Building Scientific Superintelligence
About the Company
Lila Sciences is pioneering the world’s first scientific superintelligence platform—an autonomous lab designed to accelerate breakthroughs in life sciences, chemistry, and materials discovery. By integrating AI into every stage of the scientific method, Lila empowers researchers to address humanity’s biggest challenges in health, climate, and sustainability. This transformative approach is redefining how science is conducted, enabling discoveries at unprecedented speed and scale.
About the Role
Lila Sciences is hiring a Principal Robotics Engineer – Computer Vision to architect and deliver the perception systems driving intelligent robotics in complex, real-world lab environments. This role focuses on the full vision pipeline—sensor selection, calibration, detection, segmentation, and object recognition—ensuring high-reliability perception for autonomous platforms. The ideal candidate will collaborate across robotics, machine learning, and systems teams, playing a key role in Lila’s mission to revolutionize scientific discovery.
Responsibilities
- Architect and implement the robotics computer vision stack for autonomous lab systems.
- Develop perception algorithms for 3D reconstruction, object detection, pose estimation, visual tracking, and scene understanding.
- Select, integrate, and calibrate advanced vision sensors (RGB, depth, stereo, LiDAR).
- Collaborate with cross-functional teams to connect perception outputs to real-time robot control systems.
- Optimize vision algorithms for embedded and edge computing platforms to ensure runtime efficiency.
- Conduct rigorous benchmarking to enhance perception robustness in dynamic, unstructured environments.
- Mentor junior engineers and provide technical leadership on vision system design and deployment.
- Stay current with advancements in computer vision research, translating cutting-edge techniques into production-grade solutions.
- Contribute to the strategic roadmap and long-term vision of Lila’s robotics perception capabilities.
Required Skills
- PhD or Master’s degree in Computer Vision, Robotics, Computer Science, or related fields.
- 8+ years of experience deploying computer vision systems in robotics or production environments.
- Proven expertise in visual servoing and perception systems for robotic manipulation.
- Proficiency in both classical computer vision and deep learning-based techniques.
- Hands-on experience building end-to-end perception pipelines for real-time robotic systems.
- Strong coding skills in C++ and Python, with experience using OpenCV, ROS2, PyTorch/TensorFlow.
- Deep knowledge of 3D geometry, SLAM, structure-from-motion, and multi-sensor calibration (cameras, LiDAR).
- Strong systems-level problem-solving skills across hardware, software, and algorithms.
- Experience with multi-sensor fusion (IMU, LiDAR, depth, vision).
- Excellent communication skills and a collaborative mindset.
Preferred Qualifications
- Experience mentoring and leading technical teams in robotics or computer vision.
- Familiarity with deploying perception systems in autonomous labs, manufacturing, or scientific environments.
- Background in edge AI optimizations for vision systems.