Machine Learning Engineer (Autonomy)

Marianaminerals
San Francisco HQ +2 more

Who this role is best for

Best suited to mid-level engineers with robotics experience working in autonomous mining systems, emphasizing cross-disciplinary collaboration and real-time software development.

Best fit for

  • Mid-level engineers with mobile robotics experience and sensor fusion expertise
    — “2+ years developing autonomy, robotics, or embedded software, ideally for mobile robots or vehicles
  • Individuals skilled in real-time systems and safety-critical software development
    — “Build and maintain embedded and real-time software that bridges sensing, compute, and actuation

Things to consider

  • Field validation work requires exposure to extreme mining conditions like dust and corrosion
    — “robust to dust, vibration, and corrosion-heavy mining environments

How to stand out

  • Highlight sensor fusion projects with real-time constraints in your resume
    — “Integrate and calibrate the sensing suite [...] with perception, localization, or motion-planning algorithms
  • Emphasize cross-team collaboration experience with hardware and controls engineers
    — “working hand in hand with our hardware, controls, and systems-engineering teams
  • Demonstrate simulation pipeline development for autonomy validation in interviews
    — “Develop simulation, logging, and data pipelines to test autonomy behavior
Pace · SteadyCollaboration · HighAutonomy · MediumDecision Impact · TeamLevel · Senior

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • develops autonomy software
  • integrates and calibrates sensors
  • builds and maintains embedded software
  • validates autonomy stack
Typical background
mechatronicsroboticscomputer science

Skills & requirements

Required

Autonomy Software DevelopmentSensor IntegrationEmbedded SystemsReal-time SoftwareRobotics Middleware

Preferred

Autonomous VehiclesOff-highway Equipment

Stack & domain

C++PythonRos/ros 2LidarCamerasRadarImu/gnssSensor FusionPerceptionLocalizationMotion PlanningControlEmbedded SystemsReal-time SystemsCollaborationProblem-solvingAttention To DetailMiningAutonomous Vehicles

About the role

Original posting from Marianaminerals via Ashby

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 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

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!

Source: Marianaminerals careers (Ashby)

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