Staff Machine Learning Engineer (Autonomy) Mariana Minerals Ann Arbor, MI Job Details Full-time $160,000

• $200,000 a year 1 hour ago Qualifications Robot integration Motion controls Software engineering Sensor calibration Data transformation pipeline development Computer Science Engineering development testing Bachelor's degree in electrical engineering Embedded systems Electronic sensors Software implementation Robotics engineering Collaboration with product development teams C++ Bachelor's degree in engineering Bachelor's degree in mechatronics Embedded software System validation LiDAR Machine learning (ML) fundamentals Robot vision Real-time data processing implementation Senior level Electrical Engineering Middleware systems Bachelor's degree in computer science Robotics Sensors Python Software architecture Full Job Description About Mariana Minerals Mariana Minerals is a software-first, vertically integrated minerals company on a mission to supply the critical minerals powering modern energy, AI, and defense technologies.

We're reimagining the minerals supply chain by combining deep industry expertise with advanced software, automation, and data-driven decision-making. Role Overview 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 own 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 Lead 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 What You'll Bring Bachelor's degree in Mechatronics, Robotics, Computer Science, Electrical, or related engineering discipline 5-10+ 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 Our culture is built on three principles: Extreme Ownership
• We take full responsibility for outcomes, relentlessly driving toward solutions. Engineer Out Requirements, then Automate
• We simplify, optimize, and then automate for scale. Share Your Legos
• We collaborate openly, share knowledge, and empower each other to build bigger, better solutions.

Join us as we build the future of responsible mineral sourcing and supply.

Compensation Range:

$160K

• $200K