Autonomous vehicle software for heavy-duty logistics and airport operations
EasyMile operates a multi-sensor autonomous vehicle stack (LiDAR, camera, radar) deployed across 400+ sites in 30+ countries since 2014. The company is mid-stage in a language migration from Elixir to Kotlin, while adopting FastAPI—a shift that suggests movement toward more conventional, widely-supported backend architectures. Engineering-heavy hiring (6 of 8 open roles) focused on mid- to senior-level talent, concentrated entirely in France, reflects the hardware-software integration demands of their tow-tractor and cargo-dolly product lines.
EasyMile develops autonomous vehicle software and control systems for heavy-duty environments including airports, logistics hubs, and industrial sites. The company has achieved Level 4 autonomous driving certification and operates 10+ remotely supervised vehicle fleets globally, with ISO 9001:2015 compliance. Their technology stack spans C, C++, Python, Elixir, Kotlin, and embedded systems (ARM, CAN, Trace32) to manage real-time perception, decision-making, and vehicle control. Current product focus centers on the EZTow (autonomous tow tractor) and EZDolly (autonomous cargo dolly), supported by active work on safety ECU development, hardware-in-the-loop testing, and vehicle certification processes.
Core languages: C, C++, Python, Kotlin, Elixir. Infrastructure: Linux, Docker, Kubernetes, Jenkins, Git. Embedded: ARM, CAN, Trace32. Currently migrating from Elixir to Kotlin and adopting FastAPI for backend services.
EasyMile operates in 400+ locations across 30+ countries, with remotely supervised operations at 10+ sites and over 1,000,000 kilometers of autonomous driving logged since 2014.
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