Machine Learning Engineer (Autonomy)
Join Mariana Minerals as a Machine Learning Engineer to develop autonomy software for autonomous mining vehicles.
Posted by employer 2 months ago
First seen on Joblaze 1 month ago
Last verified on the company career page 1 day ago
Requirements
- Experience
- 2+ years
- Education
- Bachelor's degree
Not disclosed in this posting: compensation, work arrangement, visa sponsorship.
Joblaze summary
The Machine Learning Engineer (Autonomy) at Mariana Minerals focuses on developing software that enables mining vehicles to operate autonomously through advanced sensor integration and perception algorithms. Key skills include proficiency in C++ or Python, experience with robotics middleware like ROS, and hands-on work with sensor fusion technologies. This role is ideal for engineers with a background in robotics or embedded systems, particularly those with experience in autonomous vehicles. Mariana Minerals emphasizes a culture of safety, ownership, and collaboration as it seeks to innovate in the minerals supply chain.
Joblaze insights
Quick facts
- How much experience is required?
- At least 2 years of relevant experience for this 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 mid-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Machine Learning Engineer (Autonomy) role at Mariana Minerals.
From the original posting
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:
Standard company text repeated across Mariana Minerals's postings is omitted here.