$270,000 – $370,000
Listed on Runway’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
This role involves deploying AI-powered robot control systems from simulation to physical hardware, diagnosing why policies fail in the real world, and designing data collection to improve learning. It suits engineers with hands-on experience shipping robot software who can bridge the gap between research models and working machines.
Our summary, not Runway’s wording. The full posting is on their site.
Skills this role names
- Computer Vision
- Control Systems
- Python
- PyTorch
- Reinforcement Learning
- Robot Operating System (ROS)
- TensorFlow
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What they ask for
Required
- Deployed software on real robot hardware and iterated to production
- Understanding of action spaces, control frequencies, observation pipelines, and calibration
- Experience diagnosing and fixing real-world robot failures
- Ability to work across software and physical systems
Nice to have
- Direct experience deploying learned policies on real robots
- Experience with video or multimodal generative models
- Background with world models
- Experience with vision language models or diffusion policies