What We're Building:

We have been quietly building the foundational layers of our Physical AI Scientist platform:
🤖 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.

This is an incredibly ambitious mission, but we believe that a team of ambitious people with high ownership can accomplish incredible things.

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:

• Develop robotic solutions to manipulate and control biology tools designed for humans
• Develop and implement motion planning algorithms to avoid collisions in a complex and dynamic environment
• Use computer vision to work with consumables and equipment that humans use
• Integrate, test, and debug software solutions in simulation and on physical robots
• Work with partner scientists at customer labs to understand their pain points, ideate on creative solutions, decompose into individual projects, and guide implementation and deployment
• Besides your focus on robustness and performance, you’ll be expected to identify opportunities for simplification, and to design for scalability
• This position is 100% in-person, you must be able to come on-site to our San Francisco office. We do not offer hybrid roles at Medra. We do offer relocation benefits for applicants that need to relocate.

Let's talk if you have:

• 4+ years of experience designing and building algorithms for robotics systems
• Experience or familiarity with robot arm manipulators