Senior Autonomous Mining Engineer — Operational Optimization

Komatsu America Corp.; Tucson (AZ); Hybrid; USD 120,000 - 160,000; Full time

Job summary

Komatsu Mining Technology Solutions in Tucson, AZ seeks a Mining Services Engineer III specialized in autonomous systems to optimize deployment and performance of autonomous haulage. You will analyze operational data, model scenarios, and guide customers toward productivity gains.

Responsibilities include KPI tracking, field evaluations, and collaboration with customers, distributors, and internal teams to ensure robust, safe autonomous solutions and value realization.

Qualifications

• Bachelor's degree in Mining Engineering or related technical discipline is preferred, equivalent experience may be considered.
• At least 5 years of relevant experience in surface mining operations or mining technology.
• Experience with autonomous, teleoperated, fleet-management, or related mining tech systems.

Responsibilities

• Analyze autonomous haulage performance using operational data, simulation, and mining-engineering principles.
• Define, monitor, and analyze KPIs and system-performance data to identify improvement opportunities.
• Lead or support site-readiness assessments, feasibility studies, and field evaluations for deployments.
• Support configuration, testing, commissioning, and validation of autonomous haulage solutions with site teams and partners.
• Provide technical guidance on system use, practices, and continuous-improvement opportunities.
• Develop and maintain operational documentation and training materials.

Skills

Autonomous systems

Mining engineering

Operational analytics

Communication skills

Team collaboration

Education

Bachelor's degree in Mining Engineering

Tools

HAULSIM

Deswik

Mine Twin

Power BI

Job description

Komatsu Mining Technology Solutions in Tucson, AZ seeks a Mining Services Engineer III specialized in autonomous systems to optimize deployment and performance of autonomous haulage. You will analyze operational data, model scenarios, and guide customers toward productivity gains.

Responsibilities include KPI tracking, field evaluations, and collaboration with customers, distributors, and internal teams to ensure robust, safe autonomous solutions and value realization.