> Markdown version of [/jobs/ext/3973717-machine-learning-engineer-autonomy](https://www.wearedevelopers.com/jobs/ext/3973717-machine-learning-engineer-autonomy). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Engineer (Autonomy) - **Company:** Mariana Minerals - **Location:** Ann Arbor, MI, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Algorithm Design, C++ (Programming Language), Software Debugging, Middleware, Embedded Software, Hardware Design, Python (Programming Language), Machine Learning, Motion Planning, Real-Time Operating Systems, Sensor Fusion, Data Logging, Mobile Robots, Information Technology, Low Latency, Lidar, Data Pipelines, GNSS - **Published:** October 27, 2026 - **Apply:** https://www.careerbuilder.com/job-details/machine-learning-engineer-autonomy-ann-arbor-mi--d3bc9577-b885-4dbf-81f7-633f9fd47314 ## About the Role Machine Learning, Supply Chain, Artificial Intelligence (AI), Mining Industry Software, Automation Systems, Mining Equipment and Machinery, Machine Learning, Technical Recruiting, Light Detection and Ranging (LiDAR)\Laser Detection and Ranging (LADAR), Algorithms, * Bachelors degree in Mechatronics, Robotics, Computer Science, Electrical, or related engineering discipline * 2+ years developing autonomy, robotics, or embedded software, ideally for mobile robots or vehicles * Strong proficiency in C++ and/or Python, and with a robotics middleware such as ROS/ROS 2 * Hands-on experience with sensor integration and fusion - LiDAR, cameras, radar, IMU, GNSS - and with perception, localization, or motion-planning algorithms * Working knowledge of real-time and embedded systems, and of the controls and software-hardware integration that drive actuation * Experience in autonomous vehicles, robotics, automotive, or off-highway equipment strongly preferred ## Description We are hiring Machine Learning Engineers (Autonomy) to build the autonomy and sensor-integration software that lets our mining vehicles perceive, decide, and drive themselves. In this role you will work on parts of the software and sensor integration that enables full mining autonomy - sensor fusion across LiDAR, cameras, radar, and IMU/GNSS; perception, localization, and mapping; and the autonomy stack that turns sensing into safe vehicle motion. You will carry work from architecture and algorithm design through implementation, simulation, and bench and field validation, working hand in hand with our hardware, controls, and systems-engineering teams. This is a hands-on, first-principles role for an engineer who wants to develop the world's first fully autonomous mines. What You'll Do * Develop autonomy software for autonomous mining vehicles focusing on one or more area: perception, SLAM, motion planning, and control * Integrate and calibrate the sensing suite (LiDAR, cameras, radar, IMU, GNSS), implementing sensor fusion and time synchronization robust to dust, vibration, and corrosion-heavy mining environments * Build and maintain embedded and real-time software that bridges sensing, compute, and actuation, with attention to safety, latency, and reliability * Develop simulation, logging, and data pipelines to test autonomy behavior and drive performance against safety and availability targets * Build bench, rig, and field validation of the autonomy stack, debugging across the full software-hardware boundary * Collaborate with hardware and controls engineers to integrate sensing, compute, and actuation into a complete vehicle