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Design, implement, and validate autonomy software for mining vehicles including perception, localization, mapping, motion planning, and control. Integrate and calibrate LiDAR, camera, radar, IMU/GNSS sensors; build embedded real-time software; develop simulation and data pipelines; and lead bench, rig, and field validation while collaborating with hardware and controls teams.

Lead end-to-end execution of Mariana's capital project programs from development through construction, owning schedules, budgets, risk management, and cross-functional coordination. Manage and grow a team of Technical Program Managers, drive deployment of capital-project software tools, standardize project development and execution, and partner with finance and business development on capital allocation and project economics.

The Senior Full Stack Software Engineer will lead software architecture and implementation, mentor team members, and integrate complex systems for minerals supply chain management.

The Staff Product Manager will own a product domain at Mariana Minerals, focusing on software development for physical systems in mining and minerals processing, requires significant on-site experience and cross-functional leadership.

Own product design for MarianaOS by simplifying complex, data-dense workflows. Build and maintain a design system (including coded components), prototype in code when useful, partner closely with PMs and engineers from problem framing to shipped UI, run lightweight user research, and set short-horizon design direction while giving and receiving fast design feedback.

Lead technical direction for autonomous mineral refining by designing, validating, and deploying RL-based control models. Own autonomy roadmap, set simulator and modeling standards, solve sim-to-real and non-stationarity problems, partner with domain experts and leadership on techno-economic decisions, and mentor engineers while delivering production ML that runs on live plant equipment.

Design and own end-to-end data domains and pipelines for plant sensors, lab results, and historians. Build schemas, ensure data quality, observability, and lineage, and supply model-ready time-series and analytical datasets to ML and operations teams. Mentor junior engineers and define data contracts.

Develop and train reinforcement-learning control models in realistic simulators, refine training environments and reward logic, analyze and improve model performance, close the sim-to-real gap with plant data, write well-tested production code, and collaborate with process and chemistry experts to deploy autonomous controllers optimizing recovery, reagent use, energy, and uptime.

Lead and administer process safety and major hazard risk management across labs, pilot operations, and projects. Plan and facilitate PHAs/HAZOPs/LOPAs, review PFDs/P&IDs, advise on safety design (venting, relief, detection, fire protection), support MOC/PSSR, maintain hazard registers and safeguards, drive corrective actions, and support incident investigations and broader H&S initiatives.