Mechatronics Engineer (Autonomy)

Mariana Minerals

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San Francisco HQ on site Until 8/26/2026 5+ years exp First posted June 27, 2026 Last posted June 27, 2026
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 a Mechatronics Engineer (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 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 — perception, localization, mapping, 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 (from employer):
$140K – $200K • Offers Equity • Estimated Base Salary, Final salary dependent on level of experience, location, and other factors.

About this role

Summary

Develop autonomy software, integrate sensors, validate autonomous mining vehicles.

Job title

Mechatronics Engineer (Autonomy)

Experience level

5-10+ years

Minimum experience

5+ years exp

Industry

software

Location requirements

San Francisco HQ, no remote work allowed

Salary

$140k–$200k

Management role

No

Skills & keywords

Required skills

c++pythonros/ros 2sensor fusionembedded systems

Preferred skills

autonomous vehiclesroboticsautomotiveoff-highway equipment

Specializations

autonomysensor integrationperceptionlocalizationrobotics
Locations

Structured locations inferred from the posting.

Unknown location

On-site