Machine Learning Engineer
Build autonomy and sensor-integration software for autonomous mining vehicles, spanning perception, localization, mapping, planning, control, and field validation. Requires a bachelor’s degree, 2+ years in autonomy or embedded software, C++/Python, robotics middleware, and hands-on multi-sensor fusion experience.
About the job
Responsibilities
- Develop autonomy software for autonomous mining vehicles, focusing on perception, SLAM, motion planning, and control.
- Integrate and calibrate LiDAR, cameras, radar, IMU, and GNSS sensors, including sensor fusion and time synchronization for harsh mining environments.
- Build and maintain embedded and real-time software connecting sensing, compute, and actuation, with emphasis on safety, latency, and reliability.
- Develop simulation, logging, and data pipelines to test autonomy behavior and measure safety and availability.
- Validate the autonomy stack on benches, rigs, and in the field, debugging across software and hardware boundaries.
- Collaborate with hardware and controls engineers to integrate sensing, compute, and actuation into complete vehicles.
Requirements
- Bachelor's degree in Mechatronics, Robotics, Computer Science, Electrical Engineering, or a related engineering discipline.
- 2+ years of experience developing autonomy, robotics, or embedded software, ideally for mobile robots or vehicles.
- Strong proficiency in C++ and/or Python.
- Experience with robotics middleware such as ROS or ROS 2.
- Hands-on experience integrating and fusing LiDAR, cameras, radar, IMU, and GNSS data.
- Experience with perception, localization, or motion-planning algorithms.
- Working knowledge of real-time and embedded systems, controls, and software-hardware integration for actuation.
- Experience in autonomous vehicles, robotics, automotive, or off-highway equipment is strongly preferred.
Skills
C++, Python, ROS, Ros 2, Lidar, Computer Vision, Radar, Imu, Gnss, Sensor Fusion, Slam, Motion Planning, Real-Time Systems, Embedded Systems, Controls
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