Member of Technical Staff, Robotics Engineer

The role

You will deploy video-native foundation models onto real hardware by deploying world-model-based policies on real robots. You will work across the full stack of robot learning including data collection, task design, policy deployment, and physical evaluation.

What you will do

• Own the deployment loop for learned policies on real robot arms
• Diagnose real-world policy failures
• Partner with the research team to fix failures
• Design demonstration data collection protocols
• Partner with research to run controlled experiments
• Define and run physical evaluation protocols
• Adapt policy recipe to partner hardware and new embodiments

Required qualifications

• Personally deployed software on real robot hardware and iterated to make it work
• Fluency in the software-to-robot interface
• Comfort working at the intersection of software and physical systems

Nice to have

• direct experience deploying learned policies (VLAs, diffusion policies) on real hardware
• experience with video/multimodal generative models or world models

About the company

Runway is building AI to simulate the world through merging art and science. The team consists of creative, open minded, caring and ambitious people determined to change the world.