Autonomy retrofit platform turning earthmoving machines into AI-driven fleets
AIM converts bulldozers, loaders and excavators into autonomous fleets for mining, construction and defense work. The stack spans embedded C++ on Embedded Linux with I2C/UART, LiDAR, CUDA and TensorFlow, plus simulation in NVIDIA Omniverse, Unreal, Unity and MuJoCo, revealing a sim-heavy physical AI pipeline. Senior-weighted, engineering-dominant hiring is accelerating around Gen 2 hardware firmware and safety-critical operator UIs.
AIM, founded in 2021 and headquartered in Redmond, WA, builds a physical AI platform that makes heavy earthmoving equipment operate autonomously. Its system targets mining operations, construction sites, infrastructure projects and defense earthworks. The privately held company employs 51–200 people and hires in the United States. Its product combines vehicle-side hardware and firmware with web-based operator and fleet tools built in TypeScript, React and Three.js.
AIM uses C++, Embedded Linux, I2C, UART, LiDAR, CUDA and TensorFlow on machines, plus TypeScript, React, Three.js, gRPC and Protocol Buffers for software, with NVIDIA Omniverse, Unreal, Unity and MuJoCo for simulation.
Yes. AIM's hiring is accelerating and heavily weighted toward senior engineering roles in the United States, with smaller openings in ops, product and sales.
AIM is building Gen 2 hardware platform firmware, a safety-critical operator UI, fleet-scale firmware updates and observability, a multi-tenant portal, and an expanded channel partner network.
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AIM's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.