Expert Software Engineer - Edge AI

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Descrizione

You will build and sustain the platform alongside Windriver team that runs AI Systems on the device— a Rust-based system that manages AI application lifecycles across a heterogeneous fleet of edgehardware. This is hands-on work on hard systems problems: constrained compute, cross-architecture builds,OTA updates, and production-grade observability. You will have real infl uence over architecture andtechnical direction, and you are expected to make AI tooling a core part of how you work. YOUR ROLE Design and implement the edge packaging and runtime system — a containerless / OCI-basedapproach to shipping AI Systems to heterogeneous devices Maintain the on-device orchestration platform (daemon, CLI, IPC, libraries), including OTA updateand lifecycle management for fielded devices Optimize inference and resource usage on constrained CPU/GPU/NPU hardware Harden cross-compilation and CI/CD pipelines for reproducible, secure multi-architecture builds Integrate the device fl eet with the cloud control plane and backend services (REST/gRPC,OpenAPI, MQTT) Guide technical direction for core platform components Use agentic AI coding tools daily for implementation, refactoring, review, and debugging, withreal judgment about where they help and where they don't Raise the team's AI-assisted engineering practice: working patterns, guardrails, and what stayshuman-owned Building AI culture inside and outside of team Keep the codebase and its documentation in a state that people can work in eff

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