Robotics & Vehicle Control Engineer

Role Overview

A WoRV control engineer is more than someone who makes a vehicle move — they are someone who integrates driving and attachment control into a single product.

We don't see autonomous driving as a simple navigation problem. We need to handle buckets, sprayers, forks, dual arms, and various other attachments alongside driving. This role makes AI-generated decisions execute in the real world safely and repeatably.

Responsibilities

• Design vehicle and attachment control architectures.
• Develop state machines, rule-based logic, safety fallbacks, and fail-safe logic.
• Connect AI modules with low-level controllers and integrate them into operable systems.
• Interface CAN, ROS2, sensor inputs, and actuator interfaces.
• Perform real-environment tuning, validation, and safety verification.
• Design multi-sensor (camera, LiDAR, Radar, GNSS, IMU) safety cross-check systems.

Qualifications

• Solid fundamentals in control, robotics, embedded systems, or vehicle systems
• System development experience in C++ or Python
• Hands-on experience with systems where sensors and actuators are connected
• Value "safely repeatable product behavior" over "a demo that looks good"
• Ability to simplify problems and convert complexity into controllable form

Preferred Qualifications

• Experience with PID / MPC / Path Planning / State Machines / Motion Control
• Experience interfacing CAN, ROS2, LiDAR, Radar, GNSS, IMU, encoders
• Experience controlling construction, agriculture, logistics, or defense equipment
• Experience with functional safety, compliance, or field testing
• Experience with AI planner + classical controller hybrid architectures
• Experience with HILS (Hardware-in-the-Loop Simulation)

Who We're Looking For

• Not someone who distrusts AI, and not someone who blindly trusts it.
• Someone who can push through with rule-based approaches first, then attach AI where it becomes feasible.