Autonomy Engineer Recruiter
We find autonomy engineers for robotics and autonomous systems companies across the USA. Planning, decision-making, behaviour — the engineers who determine what a robot does next.
What an autonomy engineer does
Autonomy engineers build the decision-making and planning layers of autonomous systems — path planning, behaviour planning, decision-making under uncertainty, mission planning.
They determine what the robot should do next, given its current state and environment. The role spans graph search, probabilistic planning, and real-time behaviour execution.
The skill set is distinct from perception and controls. Autonomy sits in the middle of the stack — consuming sensor data and producing actions.
Why this role is difficult to hire
Autonomy engineers must understand both theoretical foundations — planning algorithms, graph search, MDPs — and the messy reality of deploying in unstructured environments. Very few candidates have both.
Many who claim autonomy experience have only worked in simulation, not on deployed systems. The gap between simulation performance and real-world reliability is enormous and not visible from a CV.
Generalist recruiters cannot distinguish a research planner from a field-deployable autonomy engineer. Getting this wrong delays programmes and is costly to unwind.
Where autonomy candidates work
Autonomous vehicle companies, drone and UAV firms, warehouse robotics, agricultural robotics, and defence autonomy programmes.
Usually in planning, autonomy, or behaviour teams. Also in simulation-heavy roles at tooling companies building environments for autonomy development.
Cross-sector movement is common. AV experience transfers well to field robotics with the right deployment mindset.
How we find autonomy talent
We map autonomy teams across industries and assess specifically for deployment experience — not just research. We understand the difference between a planner that works in simulation and one that operates reliably on a real robot in an unstructured environment.
We approach candidates with specificity. Context about the platform, the environment, and the technical problem is how we generate interest from engineers who are not actively looking.
Example searches
- Autonomous truck company in Pittsburgh needed a senior autonomy engineer with off-road planning experience. Sourced from a defence robotics programme with real-world deployment depth.
- Warehouse robotics company needed behaviour planning expertise for multi-robot coordination. Placed from an academic spin-out with production deployment experience.
- Agricultural robotics company needed an autonomy lead for unstructured outdoor environments. Candidate came from a drone autonomy programme.
Work with a specialist robotics recruiter
If you are hiring an autonomy engineer and need a recruiter who understands planning and deployment depth, get in touch. We will tell you quickly whether we can help.