The setting
's lets heavy mining trucks and equipment operate on their own at customer mine sites. It combines vehicle controls, sensors, computers and fleet software.
A sensor installation that calibrates in the workshop fails when the loaded truck starts vibrating.
The GNSS/IMU needs a rigid, protected mounting path without making field service slower or calibration less repeatable.
Who you’d be doing this for
“I’ve got one truck parked after every rough shift, and dispatch keeps asking when it’s coming back.”
Nneka Akinwale · Mine Operations Manager · a character in this brief
Accountable for fleet availability and tonnes moved when an autonomous haul truck is removed from service.
What is at stake
One autonomous haul truck loses position on rough loaded routes. You must weigh a tougher installation against service access and repeatable calibration.
Why it isn’t already fixed
Every obvious fix costs something else. That’s the part you’d have to decide.
- sensor rigidity vs. field service access
- fast fleet return vs. route-level validation
- physical redesign vs. platform tolerance
- production availability vs. shakedown time
Why Applied Intuition
Autonomous haul trucks depend on reliable sensor integration across dust, shock, vibration, and long operating hours.
Written with these in mind
Not your kind of problem? 93 more at Applied Intuition, or browse every organization.
Where the organization context comes fromThe postings this brief was written from, and the reporting read before it.
The organization context comes from public information. The situation and characters are written for the brief.
Job postings it was written from
Public descriptions of the work at Applied Intuition. They are listed as sources, not as openings. The lines under a posting are its own words, where it meets this brief.
- Engineering Technician (opens in a new tab)
- Troubleshoot vehicle systems, electrical and computer components, communications systems, sensors, and localisation systems including GNSS, performing root cause analysis and calibration.
- Practical experience with AV components like LiDARs, radars, cameras, GNSS, and vehicle communication systems, ensuring comprehensive understanding of vehicle systems.
- Hardware Systems Lead, Industrials (opens in a new tab)
- Define and drive survivability: determine how sensors, compute, harnesses, connectors, and enclosures will hold up to vibration, shock, dust, water ingress, thermal extremes, EMI, and years of heavy use
- Lead integration of sensors (lidar, radar, cameras, GNSS/IMU), compute, power, networking, and actuation onto OEM heavy equipment
- Hardware Integration Engineer (Mining) (opens in a new tab)
- You will work directly with our hardware engineers, engineering technicians, operators and safety drivers.
- Provide vehicle integration support across the organization by designing, prototyping, and installing proof-of-concept systems and sensors under evaluation.
- Robotics Integration Engineer (TL) · no longer posted
- As a Senior Robotics & Integration Engineer, you will own the software and hardware platform that our intelligent autonomy stack runs on — everything from networking, time synchronization, sensors and drivers, and middleware, down to embedded systems, drive-by-wire, and low-level controls actuation.
- Debug, test, and troubleshoot complex interactions across the full stack — from sensor timing and network behavior to actuation and controls — to ensure reliability and system performance in harsh, real-world environments
This is the setup. The work is inside.
Running it puts you in the room: the full situation and its constraints, stakeholders who push back in their own words, and the decisions that are yours to make. What you produce becomes a Day One Plan — work you can show someone instead of describing.
Where similar work appears
Other live briefs connected to this one, and what connects them.
Similar problems at other organizations
Like this one, each of these is about losing track of what's happening in the field.
Ground stations are failing first test after harness installation, then passing only after reseating.
You must weigh faster assembly against a test method that still catches real electrical faults.
Closed dashcams are failing GPS lock after thermal cycling, holding the PVT build.
You must weigh a fast line recovery against evidence that the change will survive repeated assembly.
Recurring gateway resets interrupt tracking for fleet vehicles and leave engineers sorting conflicting evidence.
You have to decide where the workflow stops reading manufacturing records, returns and field failures and where the reliability engineers take over to name the physical cause.
The same setting, from another role
Each is set around Applied Intuition’s Mining Autonomy and Drive-by-Wire System, written for a different role. They’re separate briefs, not the same scenario.
Mine operations managers are waiting on fixes while reviews reopen for missing vehicle evidence.
You must decide whether AI marks uncertain evidence or holds the change for an engineer to investigate.
Mine managers cannot compare autonomous shifts without rebuilding truck data by hand.
You must decide which fleet measures belong in one view without hiding meaningful vehicle differences.
Autonomous haul trucks are stopping after brake commands should have expired.
You must choose a control-interface release that restores availability without accepting unverified braking behavior.