Medra is looking to solve the problem of automating complex laboratory protocols to achieve continuous science with unmatched precision and scalability, by building an autonomous robotic platform that integrates AI, robotics, computer vision, and natural language processing.
Requirements
- 4+ years of experience designing and building robotics algorithms.
- Proficiency in Python and familiarity with robotic arm manipulators.
- Hands-on experience with motion planning, trajectory optimization, kinematics/dynamics, or control.
- Strong grasp of software engineering tools and production best practices.
- Experience with robotic simulation frameworks (PyBullet, MuJoCo).
- Prior work with robotics in labs or manufacturing.
Responsibilities
- Develop robotic solutions to manipulate and control biology tools designed for human use.
- Design and implement motion planning algorithms for collision-free operation in complex, dynamic environments.
- Apply computer vision to interact with lab consumables and equipment.
- Integrate, test, and debug robotics software in both simulation and real hardware.
- Collaborate with partner scientists to identify lab workflow challenges and translate them into robotic solutions.
- Ensure robustness and scalability in deployed systems, while identifying opportunities for simplification.
Other
- BS/MS/PhD in Computer Science, Mechanical/Electrical/Aerospace Engineering, or equivalent experience.
- Flexibility to wear multiple hats and thrive in a fast-moving startup environment.
- 100% on-site in San Francisco, with relocation support available.
- Ability to work collaboratively in a team environment.
- Strong communication and problem-solving skills.
