We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence
Job Summary
We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence.
In this role, you will serve as a key planning and controls expert, solving complex challenges involving operating in unstructured environments.
This is a highly impactful role for an engineer with deep expertise in control theory and multi-agent autonomy who can translate advanced research into robust, field-ready solutions.
Matching Summary
We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence.
Skills & Requirements
Must-have
modern control theory
multi-agent autonomy behaviors
computationally constrained control schemes
field robotics integration
autonomous vehicle fleet
Nice-to-have
off-road field robotics expertise
low SWaP robotic platforms
mentoring junior engineers
autonomy stacks familiarity
Key Requirements
Ph.D. or MS with 3+ years experience
predictive and sampling-based control methodologies