Staff Mobile Equipment and Fleet Engineer
Company websitemarianaminerals.com (Mariana Minerals, opens in new tab)
Base salary $138K to $170K
Employer-published annual base salary, USD. Advertised base range in Houston, TX +2 more
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationHouston, TX +2 more
- WorkplaceOn-site
- Status at last checkSource accepting applications when checked
- Last checked (36 min ago) · observed since
All places named
- Houston, TX
- San Francisco, CA
- Moab, UT
About this job
About Mariana Minerals
Mariana Minerals is a software-first, vertically integrated minerals company on a mission to supply the critical minerals powering modern energy, AI, and defense technologies. We’re reimagining the minerals supply chain by combining deep industry expertise with advanced software, automation, and data-driven decision-making.
The Role
Mariana Minerals is seeking a Mobile Equipment and Fleet Engineer to build and optimize the equipment fleet for our open pit mining operations. You will own the technical specifications, equipment and OEM selection, and full lifecycle economics of production and support equipment. Autonomy is a central part of the role: you will help determine which equipment should operate without an onboard operator, how to achieve that through new purchases or retrofits, and how to integrate autonomous machines into a productive mine.
Your scope includes haul trucks, wheel loaders, excavators, dozers, graders, water trucks, blast-hole drills, blasting support equipment, RC and core drilling rigs, trailers, and other mobile equipment. You will work across operations, maintenance, mine engineering, procurement, OEMs, autonomy providers, and Mariana’s software team.
What You'll Do
Fleet selection and autonomy
Design the fleet. Translate mine plans, production targets, haul profiles, ground conditions, road geometry, operating hours, and site constraints into fleet requirements. Match loading, hauling, drilling, and support equipment so the fleet performs as an integrated system.
Specify and select equipment. Develop technical specifications and compare machine classes, models, powertrains, configurations, and OEMs. Evaluate payload, cycle time, availability, maintainability, parts and dealer support, interoperability, and readiness for remote or autonomous operation.
Drive the autonomy roadmap. Identify where autonomous haulage, loading, drilling, and support equipment can create practical value. Compare purpose-built autonomous machines with retrofit options, including whether and when removing the onboard operator makes technical, operational, and economic sense.
Engineer autonomous integration. Work with OEMs, autonomy vendors, site teams, and software developers on machine controls, sensors, communications, fleet coordination, remote supervision and intervention, and interfaces with dispatch and maintenance systems. Define acceptance tests and support safe commissioning.
Make autonomy work in the field. Plan for interactions among autonomous trucks, loaders, drills, manually operated equipment, and people. Evaluate the effect of autonomy on haul roads, loading areas, traffic rules, fueling and servicing, recovery procedures, productivity, and staffing.
Lifecycle performance and data
Own lifecycle economics. Build and maintain models for acquisition, fuel and energy, tires, maintenance, major components, rebuilds, autonomy conversion, replacement, and residual value. Use cost per tonne and project value to guide purchase and replacement decisions.
Improve equipment life and performance. Partner with operations and maintenance to address downtime, underutilization, payload losses, inefficient operation, and premature wear. Use condition monitoring and operating data to improve maintenance plans, equipment use, and rebuild timing.
Build with data and software. Define telemetry and data collection needs, connect equipment and maintenance information, and work with the MarianaOS team to develop tools for fleet selection, equipment health, utilization, autonomous performance, and continuous optimization.
Guide OEM and vendor choices. Assess technical capability, autonomy offerings, integration flexibility, service coverage, parts availability, and long-term support. Stay current with advances in engines, powertrains, controls, and mining automation.
What You'll Bring
Relevant experience. A background in mobile equipment engineering, fleet management, equipment maintenance, OEM applications, or technology integration in open pit mining or a similar heavy-equipment environment.
Equipment knowledge. Practical understanding of machine performance and the mechanical, hydraulic, electrical, and control systems that determine reliability, maintainability, and operating life.
Autonomy knowledge. Experience with autonomous or remotely operated equipment, machine controls, or equipment retrofits; and sound judgment about the realities of deployment in an active operation.
Analytical judgment. Ability to develop fleet and lifecycle cost analyses, investigate equipment data, test assumptions, and make clear recommendations that balance cost, performance, safety, and flexibility.
Collaborative drive. Strong communication skills and enthusiasm for working with operators, maintainers, engineers, and software developers in a dynamic, multidisciplinary setting.
Curiosity and initiative. A genuine passion for equipment and engines, an interest in new technology, and the creativity to turn promising ideas into improvements that work in the field.
What Success Looks Like
Mariana has a fleet selected for the actual requirements of each operation, with clear specifications and defensible lifecycle costs. Autonomous equipment is deployed where it improves the operation, with proven integration into the broader fleet. Equipment data informs daily performance improvements and future fleet decisions.
Our culture is built on four principles:
Everyone Gets Home Safe. We never put speed or cost ahead of people.
Extreme Ownership. We take full responsibility for outcomes, relentlessly driving toward solutions.
Engineer Out Requirements, then Automate. We simplify, optimize, and then automate for scale.
Share Your Legos. We collaborate openly, share knowledge, and empower each other to build bigger, better solutions.
Join us as we build the future of responsible mineral sourcing and supply!
Source: Mariana Minerals on Ashby · View original posting (opens in new tab)
Pay in context
This role's base floor ($138,000) is above 54% of the 418 Engineering (non-software) roles in Texas listed on this site; 1 other lists the same floor. Their median floor is $136,000; the middle half runs from $115,132 to $161,175.
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 8, 2026.
This listingStaff Mobile Equipment and Fleet Engineer$138K to $170K
Sr./Staff Mechanical Engineer$140K to $175K
Machine Learning Engineer (Autonomy)$140K to $180K
Sr. Software Engineer, Autonomy$140K to $200K
Sr. Software Engineer, Infrastructure$140K to $200K
Mine Planner$140K to $175K
Staff Mechanical Engineer$140K to $190K
Chart as a table
| Role | Published base |
|---|---|
| Staff Mobile Equipment and Fleet Engineer (this listing) | $138K - $170K |
| Sr./Staff Mechanical Engineer | $140K - $175K |
| Machine Learning Engineer (Autonomy) | $140K - $180K |
| Sr. Software Engineer, Autonomy | $140K - $200K |
| Sr. Software Engineer, Infrastructure | $140K - $200K |
| Mine Planner | $140K - $175K |
| Staff Mechanical Engineer | $140K - $190K |
Observed changes
- Began meeting the published-salary criteria
- First observed on the employer's board
- Observed since
- Employer-stated posting date
- 2026-09-29
Where this pay comes from
Location as the employer wrote it: Houston, TX • San Francisco HQ • Moab, UT
USD 138,000 – 170,000 · 1 YEAR · Salary
- Method
- Structured pay field published by the employer
- Checked
- Rule set
- us-base-v2
The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
