Mining Robotics Engineer (Peru) — Remote
ARCHIVED
We can't find an active application page for this role right now. It may reopen or be listed elsewhere. Use Next Steps to search for an active apply link and similar live jobs.
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
CompensationCompetitive 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.