Staff Machine Learning Engineer

📋 Job Overview

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.

🏢 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.

🎯 The Role

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.

✅ Key Responsibilities

• 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

📌 Required Qualifications

• 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

⭐ Desirable Experience

• Experience in autonomous vehicles, robotics, automotive, or off-highway equipment strongly preferred

🎁 Benefits

Offers Equity • Estimated Base Salary, Final salary dependent on level of experience, location, and other factors.

🛂 Visa & Eligibility

Not specified