Vehicle gateways
The main computer in the car, handling transfer, routing and processing of all vehicle data across domains.
Services
Software & Systems Engineering
Embedded and application software, system architecture and requirements engineering for automotive controllers — from bare-metal drivers and AUTOSAR stacks to Linux-based infotainment and in-house AI.
Most of our software work is done at product level rather than task level. A team takes a defined scope — a feature, a subsystem or a whole controller — and carries it from requirements through architecture, implementation and integration to a verified release, with the same people staying with it into production support and model-year updates.
That continuity is deliberate. It is what lets an engineer who wrote a driver in year one debug a field return against it in year four, and it is the reason our customers hand over increasingly large parts of their programmes.
What we cover
Software development
- Embedded C and C++ for multi-core automotive microcontrollers
- C#, Python and scripting for tooling and production environments
- AUTOSAR across all layers, embedded Linux, QNX, Yocto, Integrity and RTOS
- Infineon, Qualcomm, Renesas, ST, NXP and Texas Instruments platforms
- Green Hills MULTI, Eclipse and the other common automotive toolchains
Model-based development
- MATLAB and Simulink models as the design of record
- TargetLink production code generation
- Code generation and verification against the model
System & software architecture
- Software architecture definition and review
- System architecture and system behaviour definition and elicitation
- Model-based system engineering
- Hardware–software integration and HSI ownership
- Rhapsody and Enterprise Architect
Requirements engineering
- Requirements definition and elicitation with the customer
- Requirements management and tooling in IBM DOORS and JAMA
- Traceability from customer requirement through to test case
Integration, DevOps & platform
- Continuous integration and deployment pipelines
- DevOps, SecOps and MLOps practices
- AWS toolchain and cloud-based build and test infrastructure
- Software production environment setup and maintenance
Artificial intelligence
- Data engineering and data science
- Computer vision and image quality processing
- Machine learning and deep learning
- Large language models
- AI-driven automation of engineering workflows
Selected work
Products and programmes delivered by members of our team, including in prior roles.
Instrument clusters and infotainment displays
Processing and displaying vehicle data and handling interaction with the driver and passengers.
Main infotainment computers
Audio and video in/out, navigation and wireless connectivity in a single highly integrated unit.
Autonomous driving stacks
Radar, lidar, sensor and camera processing, including camera monitoring systems for the driver, passengers and vehicle surroundings.
Highly integrated domain computers
Single computers combining the functionality of 10–15 previously separate electronic devices.
Competence detail
The clusters below are drawn from our full capability matrix. See all capabilities for the complete picture.
Software development
Embedded and application software for automotive controllers, from bare-metal drivers to AUTOSAR stacks and Linux-based infotainment.
| Cluster | Available competences | Notes |
|---|---|---|
| Microcontrollers, processors, chips |
| All popular brands on the market. |
| Software architecture |
| Average team experience of more than 10 years. |
| Operating systems |
| |
| Languages & tooling |
| |
| Model-based development |
| Advanced model-based development including production code generation. |
| Integration & DevOps |
|
System engineering & functional safety
System-level architecture, behaviour definition and safety work, tied back to managed requirements.
| Cluster | Available competences | Notes |
|---|---|---|
| System architecture |
| |
| Functional safety |
| |
| System security |
| |
| Requirements management & business analysis |
|
Cyber security & artificial intelligence
Security engineering for electronic devices and their infrastructure, plus an in-house AI and data practice.
| Cluster | Available competences | Notes |
|---|---|---|
| Security |
| |
| Artificial intelligence |
|
Other services
Let us look at your programme
Tell us what you are building and where it is stuck. We will tell you honestly whether we are the right team for it.