Machine Learning Engineer (Autonomy)
Mariana Minerals2 hours ago
Houston, TX, USA or San Francisco, CA, USAMid Level
H1B Sponsor
Base Salary
$140k - $180k/yr
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.
About 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.