Mariana Minerals
Machine Learning Engineer (Autonomy)
About this role
Mariana Minerals is seeking a Machine Learning Engineer to develop autonomy and sensor-integration software for fully autonomous mining vehicles. You'll work across perception, localization, motion planning, and control—integrating LiDAR, cameras, radar, and IMU/GNSS sensors while collaborating with hardware and systems teams to validate the complete autonomy stack from simulation through field testing.
What you'll do
- Develop autonomy software for mining vehicles focusing on perception, SLAM, motion planning, or control
- Integrate and calibrate multi-sensor suites (LiDAR, cameras, radar, IMU, GNSS) with robust sensor fusion for harsh mining environments
- Build embedded and real-time software connecting sensing, compute, and actuation with emphasis on safety and latency
- Create simulation, logging, and data pipelines to test autonomy performance against safety and availability targets
- Conduct bench, rig, and field validation of the autonomy stack, debugging across software-hardware boundaries
- Collaborate with hardware and controls engineers to integrate perception and actuation into complete vehicles
What they're looking for
- C++ and/or Python programming
- ROS or ROS 2 robotics middleware
- Sensor fusion and multi-sensor integration (LiDAR, camera, radar, IMU, GNSS)
- Perception, localization, or motion-planning algorithms
- Real-time and embedded systems development
- Controls and software-hardware integration
- Autonomous vehicle or robotics systems design
- Simulation and validation frameworks
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Mariana Minerals
Mariana Minerals develops autonomous mining technology and critical minerals processing infrastructure, including software and hardware systems for self-operating vehicles and advanced refining facilities. The company is hiring Process Safety Engineers, Mechanical Engineers, Mechatronics Engineers (in both autonomy and hardware specializations), and Safety Specialists to build out their mining operations and safety programs.
View all jobs at Mariana MineralsLikely interview questions
- Walk us through a sensor fusion or integration project you've led—what sensors did you work with and how did you handle calibration or synchronization challenges?
- Describe your experience with ROS or similar robotics middleware. How have you used it to bridge perception and control in a mobile robot system?