FieldAI is transforming how robots interact with the real world. We build risk-aware, reliable, field-ready AI systems that tackle the hardest problems in robotics and unlock the potential of embodied intelligence. We take a pragmatic approach that goes beyond off-the-shelf, purely data-driven methods or transformer-only architectures, combining cutting-edge research with real-world deployment. Our solutions are already deployed globally, and we continuously improve model performance through rapid iteration driven by real field use.
In Pittsburgh, we’re pushing the frontier of embodied intelligence by designing robot learning systems that scale across tasks, environments, and robot embodiments. We work on robotics foundation models, from vision and language to control, and we deploy what we build on real robots solving real problems in unstructured, real-world settings.
We are looking for a Sr. AI Research Engineer to help design, build, and deploy robust autonomous robotic systems operating in complex real-world environments. In this role, you will take a systems-level view of robotics, integrating perception, planning, control, and learning into reliable, field-ready autonomy stacks.
This role is ideal for someone with deep experience in robotics systems engineering who enjoys working across the full stack, from algorithms to hardware integration and field deployment. You will play a key role in turning research ideas into scalable robotic capabilities and shaping how advanced autonomy is delivered on real robots.