Remote Mining Robotics Engineer

The Remote Mining Robotics Engineer is an AI robotics job focused on designing, integrating, and validating autonomous mining systems that combine perception (computer vision, LiDAR), localization and mapping (SLAM), motion planning, and safety-critical controls. On Rex.zone, you will support real-world robotics deployment workflows—simulation-to-reality testing, sensor fusion, fleet telemetry, and on-site constraints—while improving model performance and operational reliability. This full-time remote role supports autonomous haulage, drilling automation, and underground robotic inspection, working with ROS/ROS2, autonomy stacks, and data pipelines that turn field logs into training datasets. Apply to help build safe, robust mining robotics used in production environments.

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LinkedIn Job Metadata

Title: Remote Mining Robotics Engineer | Date: 25-02-2026 | Company: Rexzone | Country: US | Remote Type: Remote | Employment Type: FULL_TIME | Experience Level: Mid-Senior | Industry: Technology | Job Function: Engineering | Skills: mining robotics, autonomous systems, ROS2, SLAM, sensor fusion, LiDAR, computer vision, motion planning, path planning, perception, localization, navigation, autonomy stack, safety-critical systems, functional safety, simulation, Gazebo, Isaac Sim, Python, C++, edge computing, telemetry, fleet management, validation testing | Salary Currency: USD | Salary Min: 63360 | Salary Max: 126720 | Pay Period: YEAR

About the Role

You will build and operate robotics autonomy capabilities for mining environments, including surface and underground operations. The work spans perception and mapping, planning and control, systems integration, and field-ready validation. You will collaborate with cross-functional teams to convert sensor logs into usable training data, improve autonomy performance, and ensure robust behavior under dust, low light, occlusion, GNSS-denied zones, and tight safety constraints.

Key Responsibilities

Design and integrate autonomy components for mining robots and autonomous vehicles; develop perception pipelines using camera, LiDAR, radar, and IMU inputs; implement and tune SLAM, localization, and navigation for GNSS-denied and low-structure areas; develop motion planning and control strategies for haul roads, stop-start operations, and obstacle avoidance; create simulation-to-reality workflows with scenario testing and regression suites; define validation metrics and acceptance criteria for safety and reliability; build data and telemetry workflows to analyze events, near-misses, and interventions; document interfaces, operational constraints, and runbooks for deployment and support.

Required Qualifications

Mid-senior experience delivering robotics or autonomous systems in production; strong proficiency in C++ and Python for robotics software; hands-on ROS/ROS2 development and distributed system debugging; experience with SLAM, sensor fusion, state estimation, or motion planning; familiarity with computer vision and LiDAR perception, including calibration and time synchronization; ability to design tests, evaluate performance, and drive root-cause analysis from logs; strong engineering communication and documentation skills for safety-critical environments.

Preferred Qualifications

Experience with mining robotics, heavy equipment autonomy, or industrial off-road autonomy; exposure to functional safety practices and hazard analysis; experience with simulation stacks (Gazebo, Isaac Sim) and scenario generation; familiarity with fleet management, teleoperation, and remote monitoring; experience deploying edge compute on ruggedized hardware; understanding of ML-based perception training pipelines and dataset curation from field logs.

Tools, Tech Stack, and Concepts

ROS2, C++, Python, Linux, Docker, CI/CD, autonomy stack integration, perception and sensor fusion, SLAM, localization, navigation, motion planning, control loops, telemetry and log replay, simulation-to-reality validation, LiDAR/camera calibration, safety-critical engineering, edge deployment, field operations constraints.

What Success Looks Like

Improved autonomy reliability and reduced intervention rates through measurable model and system upgrades; repeatable validation pipelines with scenario coverage and regression testing; stable localization and navigation in dust, low light, and GNSS-denied conditions; clear operational metrics tied to safety and uptime; production-ready releases with well-documented interfaces and deployment procedures.

Why Rex.zone

Rex.zone connects engineers with remote AI robotics jobs and real-world autonomy work across AI labs, tech startups, and industrial operators. This role is designed for professionals who want hands-on engineering impact and clear deliverables aligned with production deployment.

How to Apply

Apply through Rex.zone with a resume highlighting robotics autonomy projects, ROS2 systems, SLAM/perception experience, and any field deployment or safety-critical validation work. Include links to publications, portfolios, or repositories where applicable.

Frequently Asked Questions

  • Q: Is this role fully remote?

    Yes. The Remote Type is Remote, and the job is structured for remote collaboration, testing, and deployment support workflows.

  • Q: What kind of mining robotics systems does this role support?

    Typical systems include autonomous haulage and navigation, drilling automation, robotic inspection, and underground autonomy where localization, perception, and safety constraints are critical.

  • Q: Which robotics skills matter most for this job?

    Core skills include ROS2, SLAM/localization, sensor fusion, LiDAR and computer vision perception, motion planning, controls fundamentals, and strong C++/Python engineering for production systems.

  • Q: Does this job involve AI/ML model training?

    The role is engineering-first, but it frequently interfaces with ML workflows by curating datasets from field logs, evaluating perception performance, and improving model-driven autonomy behavior in production.

  • Q: Is this position full-time?

    Yes. Employment Type is FULL_TIME.

  • Q: What experience level is targeted?

    This posting targets Mid-Senior engineers with production robotics delivery experience and strong ownership over integration and validation.

  • Q: What industries and employers does Rex.zone work with for AI robotics jobs?

    Rex.zone features roles across technology employers, including AI labs, tech startups, industrial autonomy teams, and robotics vendors supporting large-scale deployments.

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