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Mining & Metals, Mineral Exploration

Machine Learning Engineer (Autonomy)

San Francisco, CAHybridFull TimePosted 2 months ago

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Required skills

  • Autonomy
  • Sensor Integration
  • Sensor Fusion
  • LiDAR
  • cameras
  • radar
  • IMU
  • GNSS
  • Perception
  • Localization

Nice to have

  • Autonomous Vehicles
  • Robotics
  • Automotive
  • Off-highway Equipment
  • Time Synchronization
  • Data Pipelines

Role summary

Mariana Minerals is seeking Machine Learning Engineers specializing in Autonomy to develop software for self-driving mining vehicles. This role involves sensor fusion (LiDAR, cameras, radar, IMU, GNSS), perception, localization, mapping, and the autonomy stack. You will work on algorithm design, implementation, simulation, and validation, collaborating with hardware and controls teams to create the world's first fully autonomous mines. Requires a Bachelor's degree in a related engineering field and 2+ years of experience in autonomy, robotics, or embedded software, with strong proficiency in C++/Python and robotics middleware like ROS/ROS 2.

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 fixed and mobile equipment 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 fixed and mobile equipment 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

What You’ll Bring

  • Bachelor's 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

Our culture is built on four principles:

Everyone Gets Home Safe. We never put speed or cost ahead of people.

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!

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