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Staff Machine Learning Engineer (Autonomy)

Join Mariana Minerals as a Staff Machine Learning Engineer to develop autonomy software for mining vehicles.

Location
San Francisco HQ
Compensation
Not disclosed
Level
staff
Type
full time

Posted by employer 2 months ago

First seen on Joblaze 1 week ago

Last verified on the company career page 1 day ago

Apply at Mariana Minerals → Save job Scanned from marianaminerals.com

Requirements

Experience
5–10 years
Education
Bachelor's degree

Not disclosed in this posting: compensation, work arrangement, visa sponsorship.

Joblaze summary

The Staff Machine Learning Engineer at Mariana Minerals focuses on developing autonomy software for mining vehicles, specifically in areas like perception and motion planning. This role requires strong skills in C++ or Python, along with hands-on experience in sensor integration and robotics middleware such as ROS. Ideal candidates have 5-10 years of experience in robotics or embedded software, particularly in mobile applications. Mariana Minerals emphasizes a culture of safety and collaboration, aiming to innovate in the minerals supply chain.

Joblaze insights

Quick facts

How much experience is required?
5–10 years of relevant experience for this Staff Machine Learning Engineer (Autonomy) role.
What's the tech stack?
Joblaze extracted these technologies from the posting: C++, Cameras, GNSS, IMU, LiDAR, Python.
What seniority level is this role?
Mariana Minerals targets staff-level candidates for this position.
Is this full-time or contract?
Full-time for this Staff Machine Learning Engineer (Autonomy) role at Mariana Minerals.

From the original posting

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 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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