Rex.zone
Mining Robotics Engineer (Peru) — Remote
Skills
2 months ago
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Important information
Contract type:
Permanent
Location:
United States
Work mode:
Remote
Published on:
31 August 2026
What they need
Join Rex.zone to build and support robotic and autonomy features for mining operations connected to Peru-based programs. You will focus on perception, navigation, remote operations, telemetry readiness, and reliability engineering to improve safety, uptime, and productivity.
Key Responsibilities
- Own autonomy/robotics features from prototype through field rollout and operational readiness
- Integrate ROS2 nodes, vehicle interfaces, and perception pipelines (LiDAR/cameras/radar)
- Build evaluation harnesses for navigation, obstacle detection, and localization performance
- Define data capture plans, telemetry KPIs, and monitoring dashboards for field performance
- Conduct root-cause analysis on incidents, regressions, and reliability issues
- Coordinate computer vision annotation and sensor fusion ground-truth workflows; enforce data quality and guideline compliance
- Contribute to safety cases, hazard analysis, and safety systems engineering reviews
- Document procedures for remote operations, validation, and maintenance
Required Qualifications
- Mid-senior experience in robotics, autonomy, or industrial automation
- Strong programming skills in Python and/or C++
- Hands-on experience with ROS2, SLAM/localization, perception, and sensor fusion
- Familiarity with calibration, time synchronization, and field data logging
- Ability to design experiments, interpret metrics, and communicate tradeoffs
Preferred Qualifications
- Mining equipment autonomy or off-road robotics experience (haul trucks, drills, loaders)
- Experience with continuous validation, drift detection, and telemetry monitoring
- Exposure to GNSS/INS integration and geospatial systems
Compensation Competitive hourly pay: $30–$50 per hour (USD), based on skills and experience.
How To Apply Apply via Rex.zone with your resume and a brief summary of deployments, perception/localization work, and any dataset QA or evaluation framework experience.
Links to projects/publications/repositories are welcome.
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