Service

Embedded Systems Development

Processor, platform, and software engineered as one system — from bare-metal control loops to embedded Linux.

Definition

What is embedded systems development?

Embedded systems development is the engineering of the computer inside a product: selecting the processor, designing the supporting hardware, and writing the software that runs on it. We build embedded platforms from bare-metal microcontrollers to embedded Linux, developed alongside the boards they run on so hardware and software are never strangers.

Hardware and software, one conversation

Embedded work goes wrong when the software team and the hardware team are different companies. The firmware engineer discovers a missing pull-up after the boards are fabbed. The hardware engineer picks a part whose software support turns out to be abandoned. Here, the person writing the driver can walk over to the person routing the board.

That proximity shows up in the product. Pin assignments get chosen for software sanity, test points land where debugging needs them, and the board that arrives is one the software team already knows how to bring up.

EMB

Written for the engineer who inherits it

An embedded product ships once and then lives for years, which means someone has to work on the code long after the launch team moves on. We write embedded software for that future: version-controlled from the first commit, built by CI rather than one engineer's laptop, documented at the architecture level, and covered by tests that let the next person change things without fear.

It also means we are comfortable inheriting other teams' projects. An audit tells you what you have. Stabilization comes before new features. Rescues are some of the most valuable work we do.

Comparison

Bare-metal vs RTOS vs embedded Linux: which platform fits?

The software platform is the biggest architectural decision in an embedded product. Bare-metal keeps everything under direct control on small microcontrollers, an RTOS adds scheduling discipline as complexity grows, and embedded Linux brings a full operating system where the product needs one. Each moves the cost, power, and capability dials differently.

Bare-metalRTOS (FreeRTOS, Zephyr)Embedded Linux
Best forSimple, cost- and power-critical devices with one bounded jobProducts juggling several real-time tasks at onceProducts needing rich networking, displays, filesystems, or heavy computation
Typical hardware8- to 32-bit MCU with internal flash and RAM32-bit MCU, often with wireless on chipApplication processor (MPU) with external RAM and storage
DeterminismTotal — you wrote every instructionHard real-time by designSoft real-time; hard deadlines need care or a co-processor
Startup & powerInstant-on, lowest sleep currentsMilliseconds to start, excellent low-power modesSeconds to boot; low power is possible but takes engineering
Development costLow at small scope, grows badly with complexityModerate; the structure pays for itself as features stack upHighest platform cost, fastest application development once running
Capabilities

Where we work across the stack

Embedded platform architecture and processor selection
Bare-metal development on 8- to 32-bit MCUs
RTOS-based systems (FreeRTOS, Zephyr)
Embedded Linux platforms (Yocto, Buildroot) on ARM application processors
Board support packages, bootloaders, and device drivers
Communication stacks — CAN, Modbus, USB, Ethernet, BLE, Wi-Fi
Low-power design and battery-life engineering
Hardware-in-the-loop test development
Audits and take-over of existing embedded projects
Process

How an embedded platform comes together

  1. 01

    Platform Definition

    Requirements set the processor and the software platform: bare-metal, RTOS, or embedded Linux. The rest of the project inherits this decision, so it gets made against measured needs.

  2. 02

    Board Bring-Up

    Support code comes first — clocks, memory, power states, and a driver for every peripheral, proven with a debugger before application work begins.

  3. 03

    Application Development

    Product behavior is built on the stable base: task architecture, state machines, and communication stacks, with code review and CI builds from the first commit.

  4. 04

    Integration & Debug

    Software meets real hardware under real conditions. Instrumented builds and logic analyzers chase the issues that only exist at the boundary between the two.

  5. 05

    Verification & Release

    Regression suites and hardware-in-the-loop testing gate the release. You receive source, documentation, and images ready for manufacturing programming.

Deliverables

What lands in your repository

Board support package and device drivers
Application source with build system and CI configuration
Test suites and hardware-in-the-loop results
Architecture and maintenance documentation
Release images and manufacturing programming files
Specifications

Platforms and toolchains

ProcessorsARM Cortex-M and Cortex-A, STM32, ESP32, NXP i.MX, PIC, MSP430
PlatformsBare-metal, FreeRTOS, Zephyr, embedded Linux (Yocto / Buildroot)
LanguagesC, C++, Rust; Python for tooling and test
InterfacesSPI, I2C, UART, RS-485, CAN, USB, Ethernet
WirelessBLE, Wi-Fi, LoRa, cellular (LTE-M / NB-IoT)
OutputBSP, application source, test suites, release and programming images
Often used in
Industrial & AutomationMedical & Life SciencesIoT & Connected Devices
FAQ

Embedded Systems Development FAQs

An MCU is usually right when the product does a bounded set of jobs and cares about cost, power, and instant startup. An MPU is the right call when you need Linux, rich networking, a display stack, or heavy computation. The choice ripples into board complexity and software platform, so we make it early and against measured requirements.

Yes. We build embedded Linux platforms with Yocto or Buildroot on ARM application processors, including board support, driver work, and boot-time optimization.

Yes, and it is common. We audit the existing code and hardware, document what is there, then stabilize before extending. You get a clear read on what is salvageable — sometimes that is most of it, sometimes it is not.

At several levels. Unit tests run off-target in continuous integration, integration tests exercise drivers on the real board, and hardware-in-the-loop rigs run regression suites against production-intent hardware. For long-life products we also soak-test for the failure modes that only appear after weeks of uptime.

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