Full Stack Software Engineer

MedraSan Francisco, CA

About The Position

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. This involves Physical AI that can operate scientific instruments with human-level dexterity and Scientific AI that can analyze results, reason about next steps, and close the loop autonomously. The company shipped its first production system over a year ago, recently raised a $52M Series A, and is opening one of the largest autonomous labs in the US. It is a small, ambitious team. The team consists of passionate, mission-driven engineers from companies like Tesla, Amazon, SpaceX, and Neuralink. They are collaborative, love moving fast, and enjoy team trips. They are enthusiastic about engineering and robotics, and other topics like race cars or cooking, and enjoy learning and sharing knowledge. The team is opinionated and straightforward, engaging in intense discussions about design tradeoffs and resolving conflicts quickly and empathetically.

Requirements

  • 3+ years of 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

Responsibilities

  • 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
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