Medra builds robotic automation for biology labs, with a stack centered on Python, React, and simulation engines (PyBullet, MuJoCo). The project list reveals a systems-integration focus: fleet management, software-to-hardware bridging, and simulation-to-real debugging pipelines. The engineering-heavy org (12 of 16 headcount) paired with active research and design roles suggests early-stage product work where hardware coordination and scientific validation are blocking scaling.
Medra develops physical AI systems designed to automate laboratory workflows in biology and chemistry. The platform combines robotic hardware control with software integration layers, using simulation environments to validate behavior before deployment on live robotic systems. The company operates at the intersection of robotics, automation, and scientific research, targeting pain points in complex lab automation projects and reproducibility. Based in San Francisco with a small, engineering-forward team, Medra is actively hiring across engineering and research functions.
Python, React, TypeScript for frontend; PostgreSQL and Redis for backend; PyBullet and MuJoCo for robotic simulation; gRPC and ZeroMQ for inter-process communication.
San Francisco, California. All current hiring is concentrated in the United States.
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