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Machine Learning Engineer (Autonomy)

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Machine Learning Engineer (Autonomy) in USA

  • Mariana Minerals
  • Full time
  • Email
  • Houston, TX

Responsibilities

  • Develop autonomy software for autonomous mining vehicles in perception, SLAM, motion planning, and control.
  • Integrate and calibrate LiDAR, cameras, radar, IMU, and GNSS sensors, including sensor fusion and time synchronization.
  • Build and maintain embedded and real-time software connecting sensing, compute, and actuation with emphasis on safety, latency, and reliability.
  • Develop simulation, logging, and data pipelines to test autonomy behavior and measure safety and availability performance.
  • Conduct bench, rig, and field validation of the autonomy stack and debug across the software-hardware boundary.
  • Collaborate with hardware and controls engineers to integrate sensing, compute, and actuation into complete vehicles.

Requirements

  • Bachelor's degree in Mechatronics, Robotics, Computer Science, Electrical, or a related engineering discipline.
  • At least 2 years of experience developing autonomy, robotics, or embedded software, ideally for mobile robots or vehicles.
  • Strong proficiency in C++ and/or Python and experience with robotics middleware such as ROS or ROS 2.
  • Hands-on experience with sensor integration and fusion involving LiDAR, cameras, radar, IMU, and GNSS.
  • Experience with perception, localization, or motion-planning algorithms.
  • Working knowledge of real-time and embedded systems, controls, and software-hardware integration for actuation.
  • Experience in autonomous vehicles, robotics, automotive, or off-highway equipment is strongly preferred.

Salary: $140k - $180k/yr

Mariana Minerals

Mariana Minerals is a software-first, vertically integrated minerals company focused on supplying the minerals critical to modern energy, AI, and defense technologies.

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