Field Configuration Engineer
AI summary of the role
Field Configuration Engineer deploys and debugs AI autonomy systems on heavy machinery in harsh production environments worldwide.
What you’ll do
- Configure autonomy software, sensors, networking for first runs
- Diagnose failures across hardware, software, hydraulics, GNSS
- Translate field issues into engineering requirements
- Execute on-site test plans and validate releases
What you’ll bring
- Bachelor’s in engineering or equivalent
- 5+ years in field/systems engineering or robotics deployment
- Hands-on debugging of complex hardware/software systems
- Strong Python/Bash scripting for production tools
Technologies
Linux · Python · Bash · GNSS · perception stacks · autonomy software · telemetry · packet captures · hydraulics
About AIM
Retrofits existing heavy earthmoving equipment (any make, model, size, age) into autonomous AI-driven fleets for mining, construction, and defense.
Series A
Source and classification
Implementation & delivery · Evidence for this classification:
and field reality. You enjoy taking a freshly installed system and methodically turning it into a functioning autonomous machine. You are equally comfortable: configuring Linux systems, networks, and cloud connectivity calibrating sensors and validating perception and localization debugging logs, telemetry, and system traces after a failed run writing scripts or tools to automate bring-up and recovery training operators on how the system actually works You think like a systems engineer and act with field urgency - because configuration errors show up immediately in real operations. About us together Together, we will: reliably bring autonomy systems online in production environments reduce bring-up time through better tooling and automation validate safety and degraded-mode behavior in real conditions make configuration repeatable enough to scale beyond AIM engineers close
More from the job description
About AIM Intelligent Machines Everything humanity depends on is mined, dug, or grown. At AIM, we are building the autonomous linchpin of civilization. We transform heavy machinery—bulldozers, loaders, excavators—into AI-powered fleets that operate continuously, safely, and at peak performance in the world’s harshest environments. AIM runs production mines, large scale infrastructure builds, and defense operations as a TRL9 hardened system, not a science experiment. Built by engineers from mining, construction, Waymo, SpaceX, Google and Tesla, AIM enables scalable earthmoving, turbocharging the global economy’s physical foundation. AIM is backed by some of the most sophisticated capital in the world, including General Catalyst, Khosla Ventures, Elad Gil, Human Capital, Ironspring Ventures, Mantis, DCVC. About the Role About you You thrive at the intersection of software, systems, and field reality. You enjoy taking a freshly installed system and methodically turning it into a functioning autonomous machine. You are equally comfortable: configuring Linux systems, networks, and cloud connectivity calibrating sensors and validating perception and localization debugging logs, telemetry, and system traces after a failed run writing scripts or tools to automate bring-up and recovery training operators on how the system actually works You think like a systems engineer and [... source excerpt omitted ...] etween software design and field operation We’ll debug failures late at night, refine workflows under pressure, and steadily turn fragile bring-up processes into robust systems. Responsibilities System Configuration & First Run Configure autonomy software, perception stacks, networking, and cloud services. Perform calibration, alignment, and validation of sensors and localization. Execute first autonomy runs and safety acceptance tests. Field Diagnostics, Debugging & Operational Stability Diagnose system failures across compute, networking, sensors, hydraulics, perception, control models, GNSS, and cloud connectivity. Perform structured root-cause analysis based on logs, syst [... source excerpt omitted ...] and test harnesses to triage issues faster. Identify failure patterns and propose mitigations upstream (software, firmware, safety logic, hardware design). Systems Engineering & Requirements Discovery Translate field realities into actionable requirements for software, hardware, autonomy, and reliability engineering teams. Identify gaps in serviceability, environmental tolerance (shock, vibration, dust), safety behavior, and operator workflows. Validate ConOps, safety assumptions, and degraded-mode behavior against real site conditions. Testing, Validation & Continuous Quality Feedback Design and execute on-site test plans (functional, performance, environmental, regression) f
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