Full Stack Software Engineer

Job description

### **What We're Building:** If you want to shape the future of science, come build with us. Medra is building Physical AI Scientists: robotic systems that work hand-in-hand with leading biopharma partners to enable scientific breakthroughs faster than ever before. 🤖 Physical AI that can operate scientific instruments with human-level dexterity. 🧪 Scientific AI that can analyze results, reason about next steps, and close the loop autonomously. We shipped our first production system over a year ago, recently raised a $52M Series A, and are opening one of the largest autonomous labs in the US. We're a small, ambitious team and you'd be joining early. ### **The Team:** - We’re a team of passionate, mission-driven engineers from companies like Tesla, Amazon, SpaceX, and Neuralink. We’re collaborative and love moving fast, both with our product and on team trips skiing or go-karting! - As a team, we love nerding out about engineering and robotics — plus other topics like race cars or cooking. We like learning new things and then sharing our new knowledge with each other. - Our team is opinionated and straightforward. We don’t mind intense discussions about design tradeoffs. If we have arguments or miscommunication, we resolve conflicts quickly and empathetically. ### In this role, you will: - Build and own the tools our customers use to design, monitor, and analyze autonomous experiments - Develop internal systems that help our team deploy, operate, and debug a growing fleet of robots in real lab environments - Work across the full stack, from React frontends to Node and Python services to AWS infrastructure, shipping features end-to-end - Collaborate directly with scientists, operations, and robotics engineers to understand their workflows and build software that makes their work easier and faster - Shape the engineering culture and technical direction of a product that's redefining how life science R&D gets done **Let's talk if you have:** - Full-stack engineering experience at product-driven companies - Practical experience building AI-driven workflows into products - Strong proficiency in Python and TypeScript, with experience building production React applications - Comfort working across the stack: frontend UI, backend services, cloud infrastructure (AWS) - A track record of shipping end-to-end. You've taken features from idea to production, not just written code to spec - A bias toward action and ownership. You thrive when things are loosely defined and move fast - Genuine curiosity about what you're building and who you're building it for