Staff Machine Learning Engineer (Autonomy)
Company websitemarianaminerals.com (Mariana Minerals, opens in new tab)
Base salary $160K to $200K
Employer-published annual base salary, USD. Advertised base range in San Francisco, CA +2 more
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationSan Francisco, CA +2 more
- WorkplaceOn-site
- Status at last checkSource accepting applications when checked
- Last checked (1 h ago) · observed since
All places named
- San Francisco, CA
- Houston, TX
- Ann Arbor, MI
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.
Role Overview
We are hiring Machine Learning Engineers (Autonomy) to build the autonomy and sensor-integration software that lets our mining vehicles perceive, decide, and drive themselves.
In this role you will own parts of the software and sensor integration that enables full mining autonomy — sensor fusion across LiDAR, cameras, radar, and IMU/GNSS; perception, localization, and mapping; and the autonomy stack that turns sensing into safe vehicle motion. You will carry work from architecture and algorithm design through implementation, simulation, and bench and field validation, working hand in hand with our hardware, controls, and systems-engineering teams. This is a hands-on, first-principles role for an engineer who wants to develop the world’s first fully autonomous mines.
What You’ll Do
Develop autonomy software for autonomous mining vehicles focusing on one or more area: perception, SLAM, motion planning, and control
Integrate and calibrate the sensing suite (LiDAR, cameras, radar, IMU, GNSS), implementing sensor fusion and time synchronization robust to dust, vibration, and corrosion-heavy mining environments
Build and maintain embedded and real-time software that bridges sensing, compute, and actuation, with attention to safety, latency, and reliability
Develop simulation, logging, and data pipelines to test autonomy behavior and drive performance against safety and availability targets
Lead bench, rig, and field validation of the autonomy stack, debugging across the full software-hardware boundary
Collaborate with hardware and controls engineers to integrate sensing, compute, and actuation into a complete vehicle
What You’ll Bring
Bachelor's degree in Mechatronics, Robotics, Computer Science, Electrical, or related engineering discipline
5-10+ years developing autonomy, robotics, or embedded software, ideally for mobile robots or vehicles
Strong proficiency in C++ and/or Python, and with a robotics middleware such as ROS/ROS 2
Hands-on experience with sensor integration and fusion - LiDAR, cameras, radar, IMU, GNSS - and with perception, localization, or motion-planning algorithms
Working knowledge of real-time and embedded systems, and of the controls and software-hardware integration that drive actuation
Experience in autonomous vehicles, robotics, automotive, or off-highway equipment strongly preferred
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 ($160,000) is above 34% of the 4,300 Software Engineering roles in California listed on this site; 103 others list the same floor. Their median floor is $176,100; the middle half runs from $149,100 to $204,000.
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 6, 2026.
This listingStaff Machine Learning Engineer (Autonomy)$160K to $200K
Staff Machine Learning Engineer$160K to $240K
Staff Piping Engineer$170K to $210K
Sr. Site Development Engineer$150K to $200K
Senior Full Stack Software Engineer$150K to $220K
Sr./Staff Process Controls Engineer$150K to $200K
Member of the Special Projects Staff$170K to $185K
Chart as a table
| Role | Published base |
|---|---|
| Staff Machine Learning Engineer (Autonomy) (this listing) | $160K - $200K |
| Staff Machine Learning Engineer | $160K - $240K |
| Staff Piping Engineer | $170K - $210K |
| Sr. Site Development Engineer | $150K - $200K |
| Senior Full Stack Software Engineer | $150K - $220K |
| Sr./Staff Process Controls Engineer | $150K - $200K |
| Member of the Special Projects Staff | $170K - $185K |
Observed changes
- Began meeting the published-salary criteria
- First observed on the employer's board
- Observed since
- Employer-stated posting date
- 2026-06-26
Where this pay comes from
Location as the employer wrote it: San Francisco HQ • Houston, TX • Ann Arbor, MI
USD 160,000 – 200,000 · 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.
