Embedded Firmware & Edge Platform Engineering

What embedded firmware engineering covers

Firmware is the layer where hardware, existing control logic, the AI runtime and the security architecture meet. It is also the layer most often underestimated: a device that boots, runs a model and cannot be updated safely is a liability in the field. Our firmware work is scoped from bring-up to lifecycle.

Boot chain and Board Support Package

Bring-up starts with the boot chain: bootloader, verified boot where the platform provides a root of trust, kernel or RTOS image, and the fallback path if an image fails to verify or start. The BSP provides the drivers, device tree or hardware abstraction, and configuration the platform needs, and is kept under version control with the rest of the product.

Device drivers and hardware abstraction

Added sensors, camera inputs, industrial buses and custom hardware need drivers that are stable under load and maintainable years later. A hardware abstraction layer keeps application and inference code independent of the specific board, which matters when a fleet spans hardware revisions.

Embedded Linux and RTOS

Embedded Linux suits platforms with connectivity, storage, an AI runtime and moderate real-time needs. An RTOS or bare-metal firmware suits control loops, tight power budgets and deterministic timing. Many retrofits use both: a microcontroller for I/O and control alongside a Linux module for inference. The choice is made on boot time, memory footprint, driver maturity, real-time guarantees and long-term support.

Sensor pipeline and middleware

Acquisition, timestamping, buffering, pre-processing and hand-off to the inference runtime are engineered as a pipeline with measured latency at each stage, so end-to-end response time can be reported from sensor to action rather than for the model alone. The model side is described under embedded AI engineering.

Connectivity and telemetry

Connectivity is scoped to what the application needs: local buses and industrial protocols towards the existing system, and Ethernet, cellular or Wi-Fi towards the fleet. Telemetry reports health, resource use and inference behaviour so a fielded device can be understood without a site visit, and it is sized so the network requirement is known before rollout.

Secure over-the-air updates

Firmware and model packages are versioned, cryptographically signed and verified against the device identity before installation. Rollout is staged, and an update that fails to complete or verify triggers a fallback to the last known-good image. The key management behind this is part of embedded and edge cybersecurity.

Diagnostics, watchdog and recovery

Watchdogs, health checks and logging are designed so that a hung process, a failed update or a degraded sensor is detected and reported, and so the device returns to service without manual intervention where the hardware allows it. Boot and recovery time is one of the measurements we publish with every validated result.

Lifecycle

Dependencies, toolchains and components are tracked against vulnerability disclosures and end-of-life dates for the years the fleet will run, and the hardening baseline is reapplied after every runtime or model update. The Technology page describes the controls in plain language; the programme view is under edge AI retrofit.

Related capabilities

Edge AI retrofit · Embedded AI engineering · AI hardware and electronics R&D · Embedded and edge cybersecurity · High-speed PCB and product engineering · All capabilities · How the edge stack works