Top Tech Jobs & Startup Jobs

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

Hands-on senior accounting role supporting month-end close, journal entries, reconciliations, and financial reporting across multiple entities. Partner with FP&A and operations, assist audits and tax filings, improve controls, and implement accounting systems and automation.

Lead and manage accounts payable operations across multiple entities, ensuring accurate invoice processing, vendor management, AP controls, team leadership, process improvements, AP automation implementation, and reporting of key AP metrics to Finance leadership.

The Electrical Engineer will design and implement power systems for critical mineral infrastructure, conduct system modeling, and ensure compliance with standards. They will also support project lifecycle phases including construction and commissioning.

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 sourcing for engineering and automation teams by developing targeted searches, engaging passive candidates, conducting talent mapping and market research, partnering with recruiters and hiring managers, improving sourcing methodologies and tooling, and tracking metrics to build long-term candidate relationships and pipelines.

The Electrical & Instrumentation Designer will configure projects using AutoCAD Electrical, develop best practices, and support drafting activities from conceptual to detailed design.

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.

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.

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.