About Relling: Relling (YC S25) builds ready-to-deploy robot workcells for US manufacturers. We design and test in San Francisco and put systems to work on factory floors. This is a full-time, in-person role in Potrero Hill, San Francisco.
What you'll do: Build and own software that connects perception, planning and control on real robot hardware. Write tests, diagnostic tools and logs that make intermittent failures easier to reproduce. Work through sensor and runtime issues with the engineers bringing up each cell, and validate fixes on hardware.
What we're looking for: Experience shipping and supporting software on real robotic or hardware systems, with clear ownership you can explain end to end. Strong programming fundamentals in Python or C++ and sound engineering judgment. Comfort debugging across software and hardware interfaces, using measurements and tests to find root causes.
ROS/ROS 2, computer vision or robot motion experience is useful; a specific middleware background is not required.
How to apply: Apply with your resume and a short description of a system you built or shipped. Project links are optional. Tell us what you owned, what failed and how you tested the fix.
Skills Required
- Experience shipping and supporting software on real robotic or hardware systems
- Clear end-to-end ownership of a software or robotics system
- Strong programming fundamentals in Python or C++
- Sound engineering judgment
- Ability to debug across software and hardware interfaces
- Experience using measurements and tests to identify root causes
- ROS or ROS 2 experience
- Computer vision experience
- Robot motion experience
What We Do
Relling builds and deploys turnkey, AI-native robot workcells for American manufacturers, targeting high-mix, contact-rich production tasks that conventional automation struggles to handle. Its systems automate assembly, machine tending, finishing, kitting, welding, and inspection—work that classical automation cannot economically handle. Cells are scoped and qualified off-site, then run on US factory floors in weeks, bringing physical AI into practical manufacturing operations.
