Staff Machine Learning Engineer (Autonomy)

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