Forward Deployed Robotics Engineer

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.

Operate like the technical co-founder of a small startup within Medra, owning end-to-end delivery of high-impact customer projects and defining the roadmap to meet customers’ most critical scientific challenges

Translate scientific workflows into technical requirements, support system architecture from conception to delivery, and develop interfaces between robots, instruments, and software

Design, build, and test scientific workflows on our Physical AI Scientist platform, combining existing capabilities with new production software and instrument integrations

Make implementation tradeoffs with robotics and software engineers, deciding where to reuse existing capabilities and where a customer requirement needs new engineering

Integrate, test, and debug software solutions in simulation and on physical robots

Work with forward deployed scientists through integration testing, water runs, customer-site bring-up, and scientific validation, resolving engineering blockers along the way

Diagnose failures across software, instrument behavior, robotics, and customer infrastructure, and work with specialist engineers to resolve them

Extend deployed systems to support new instruments, consumables, and workflows, rolling out releases with appropriate verification and clear operating guidance

Bring deployment learnings back into the platform by generalizing integrations and sharing reusable tests, diagnostics, and tooling with other deployment teams

Clearly explain technical decisions, limitations, and risks to customers and teammates

Travel to customer sites approximately 30% of the time for hands-on deployment and support

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.

Strong software engineering fundamentals and experience shipping production code

Demonstrated systems thinking: designing, implementing, testing, or debugging interfaces in a production system

Experience delivering technical solutions with customers or users, from an ambiguous problem to a working solution in use

A penchant for customer-facing engineering: you enjoy working directly with users, making technical decisions, and being accountable for the result

A track record of learning unfamiliar technologies quickly and making sound decisions with incomplete information

Clear written and verbal communication, including the ability to explain technical tradeoffs and surface problems early

Interest in developing depth in robotics, automation, and physical AI, with a willingness to work directly with physical systems

Experience shipping a product that combines software and hardware

Forward deployed engineering experience, or another engineering role with direct responsibility for customer implementations

Production code in Python, C++, or Rust

Experience designing APIs, distributed systems, or software that coordinates external services and equipment

Experience designing integration tests, reliability tests, observability, or deployment tooling

Experience with robotics, laboratory automation, or biology