Automotive Embedded Development
Automotive embedded software development competencies
HMI and In-Vehicle Infotainment (IVI)
We build complex HMI and IVI solutions that support multimedia features, comfort functions, personalization settings, and online services, covering architectural design, validation of cybersecurity compliance, and configuration of embedded operating systems including Automotive Grade Linux, Android Automotive, BlackBerry QNX, Kernel-based OS, and custom-made embedded Linux with the integration of leading frameworks like Kanzi, Altia, DiSTI, Qt Automotive, Vulkan, and OpenGL.
Board Support Package
We provide expertise in BSP development from low-level bootloader bring-up, Hypervisor porting, and adaptation to target platforms, to development of Yocto-based BSPs for target boards and BSPs for virtual Hypervisor environments, middleware services, apps, and secure firewall scripts. We work with Adaptive and Classic AUTOSAR platforms, open-source RTOS, Android, Linux, and QNX, covering maintenance and upgrades of customer-specific boards based on SoCs from Qualcomm, Renesas, Infineon, TI, Intel, and NXP.
Hypervisor platforms
Consolidation of infotainment, connectivity, and safety-related workloads on a single hardware platform with E2E virtualization support from BSPs, guest setup, and resource management to device assignment, IPC, backend drivers, OTA, and boot-time optimization. We work with Xen, QNX Hypervisor, Green Hills Multivisor, OpenSynergy COQOS, LXC, and Docker to accelerate SDV development.
AUTOSAR-compliant ADAS
We develop AUTOSAR-compliant embedded software modules, working with microcontroller platforms and AUTOSAR Classic and Adaptive Platforms, migrating to new SoCs/MCUs, creating prototypes for target boards with necessary MCAL modifications, running vehicle bus simulations using leading tools like dSPACE and Vector, validating the architectural design of AUTOSAR-based ECUs for functional safety compliance, automatically generating code with Matlab/Simulink, and performing AUTOSAR module functional and integration testing with model in a loop and hardware in a loop approaches.
AI and Machine Learning
We cover the integration of ADAS-enabling functions, including real-time perception algorithms, FuSa-compliant ML algorithms, embedded navigation, and high-performance embedded services with OS Linux, RTOS, and QNX. We work with operation systems on multiple levels, from creating sensor firmware and developing Linux drivers to integrating middleware of AI/ML/DNN frameworks into BSPs, developing ADAS testing apps, and integrating SDKs for ADAS, GL Studio, and Qt.
Validation and verification
We have a deep understanding of full-cycle development, integration, and validation of AUTOSAR-based ECU components and ADAS/AD (autonomous driving) safety functions to ensure industry compliance and alignment with requirements. Our engineering teams perform functional, integration, and qualification testing, validating and verifying ISO/SAE 21434 criteria and simulating ADAS/AD algorithms using modern techniques and proprietary frameworks.
Functional safety
We follow the ISO 26262 framework to ensure the safety of vehicle electrical and electronic systems, reduce software failures, build testing models, create software for ECU modules, and align processes with industry standards. Our embedded engineers are experienced in ASIL-A/ASIL-C compliant ECU development and in-vehicle bus simulation using tools from leading suppliers like Vector and dSPACE.
ECU development
We have practical experience working with AUTOSAR-based architectures to create software for critical ECU systems that control body electronics, powertrain, transmission, chassis acceleration, deceleration, steering, and braking. We cover the full-cycle development of virtualized Hypervisor solutions to test and configure ECU performance, optimize computing and energy power consumption, and validate compliance with ASPICE requirements.
Firmware Over the Air
We have extensive expertise in developing custom over the air / firmware over the air (OTA/FOTA) components for remote and background updates of ECU firmware. This includes configuring and integrating open-source and commercial OTA/FOTA products to achieve efficient update downloads and reduce install time, minimize download package size, and integrate and test third-party OTA/FOTA solutions for compliant ECU firmware updates.
In-vehicle networks
We create software for CAN, LIN, V2V, V2X, and other in-vehicle networks, enabling real-time ethernet connections, stable high-speed wireless connections, and optimized energy consumption. We create communication protocols for in-vehicle communication between ECU units, cloud connectivity, and processing of incoming telematics data (car sensor data, weather data, data from road infrastructure) for critical safety functions.
V2X
We develop embedded software to connect vehicles, cloud, and infrastructure using hardware and software from Qualcomm, Quectel, and Cohda Wireless. This software enables V2X communication by integrating onboard modules with leading cloud services, ensuring high solution availability and optimal processing of third-party and in-vehicle telematics data for enhanced vehicle performance.
Cybersecurity
We ensure the highest level of security for connected vehicles, adhering to ISO 21434 standards in cybersecurity planning. We run SDLC audits and complex cybersecurity assessments for vehicle ECUs and in-car networks with modeling and analysis of cybersecurity issues, probability estimation, and mitigation planning.
eMobility
We work on adaptive, reliable, and secure embedded navigation for EVs, implementation of FOTA updates, and development of embedded computing solutions that ensure efficient charging network management and prevent failures in integration with the smart grid. We support clients with the implementation of CPP/OCPI protocols for EVs, charging infrastructure, and various hardware classes.
Edge computing
We integrate core in-vehicle modules with transport and traffic management systems, creating embedded software that leverages edge computing power for critical safety features to improve vehicle performance and response times. Our expertise in optimizing algorithms and applying leading frameworks allows for real-time data processing and reduces dependency on cloud services and connectivity networks.
Our automotive accelerators for embedded software
At Intellias, we build accelerators that help OEMs and Tier 1 suppliers test, modernize, integrate, and bring products to market faster without engineering everything from scratch. From next-generation infotainment systems to autonomous driving solutions, our accelerators simplify complex transformations into efficient and scalable implementation of validated industry-grade solutions.
Intellias automotive accelerators showcase our cross-domain expertise, built through collaboration with clients, technology partners, industry associations, and open-source communities. They address key areas where organizations need tech innovation and business efficiency from a proven automotive embedded software development company, spanning advanced data capabilities, cloud connectivity, enhanced user experience, embedded development, and modern platforms.
IntelliKit
The Automotive Portable Kit, or simply IntelliKit, showcases the engineering expertise we provide to our clients by integrating automotive-grade hardware, cloud platforms and tools, developing embedded and middleware software, and designing breathtaking user interfaces.
Smart Charger
Intellias Smart Charging Portable Kit is an all-in-one solution accelerator designed to tackle the toughest hurdles in EV charging infrastructure, specifically on interoperability, standardization, and scalability.
FAQ
AUTOSAR development relies on the Classic Platform for deterministic, microcontroller-based ECUs and the Adaptive Platform for service-oriented applications on high-performance computers. Intellias automotive embedded development services cover application software, RTE and BSW integration, bootloaders, communication, configuration, MCAL adaptation, and MIL/SIL/HIL testing. Intellias integrated Rust-based ultrasonic sensor components with a Vector stack on Infineon AURIX TC375 using DaVinci Developer, HighTec Rust, TASKING, CANoe, and CAN; other delivered ECU work includes an ASIL B FOTA Master ECU and instrument-cluster diagnostics on Renesas RH850 hardware.
QNX embedded development covers QNX RTOS configuration, BSP and driver development, bootloader and hypervisor porting, guest OS setup, device assignment, IPC, resource management, middleware integration, graphics, security, and boot-time optimization. IntelliKit, an Automotive Technology Platform, demonstrates this embedded software development expertise on Qualcomm SA8295P, combining QNX Hypervisor, Android 13 infotainment, a 3D instrument cluster, and a head-up display running on QNX RTOS, with QNX IVY connecting edge vehicle data to AWS. Intellias also has a technology partnership with BlackBerry focused on IVY integration.
Choose an automotive embedded software development company with experience across silicon platforms, operating systems, virtualization, functional safety, cybersecurity, and the complete lifecycle from board bring-up to production support. Intellias works with Qualcomm, Renesas, Infineon, TI, Intel, and NXP hardware; AUTOSAR Classic and Adaptive, Linux, Android, QNX, and RTOS platforms; and hypervisors including QNX Hypervisor, Xen, Green Hills Multivisor, and OpenSynergy COQOS. Its engineering processes align with ISO 26262, Automotive SPICE, ISO/SAE 21434, and toolchains from Vector, dSPACE, HighTec, TASKING, and MATLAB/Simulink.
SoC integration starts with bootloader, memory, clock, and peripheral initialization, followed by drivers and MCAL, BSP and operating-system configuration, hypervisor and guest setup, middleware integration, security, communication, and performance validation. Intellias automotive embedded development services cover boards based on Qualcomm, NXP, Renesas, TI, Infineon, and Intel SoCs. IntelliKit demonstrates this approach through a Renesas R-Car H3 configuration with RTOS and Android and a 300-millisecond system boot, as well as a Qualcomm SA8295P configuration combining QNX Hypervisor, Android 13, QNX RTOS, multiple displays, cameras, sensors, CAN, LIN, and GMSL.
Intellias built a Qualcomm-based IntelliKit configuration on the SA8295P fourth-generation Snapdragon Automotive Cockpit Platform. The system uses QNX Hypervisor to consolidate Android 13 infotainment, a 3D instrument cluster, and a head-up display running on QNX RTOS, while supporting CAN, LIN, GMSL, cameras, ultrasonic sensors, cloud connectivity, navigation, and multi-display HMI functions. This working platform demonstrates Intellias automotive embedded development services across SoC integration, virtualization, embedded middleware, graphics, connectivity, and application development.
Embedded automotive software is validated through requirements traceability, code analysis, unit and integration testing, ECU simulation, bus testing, and MIL, SIL, and HIL environments before testing on target hardware and prototype vehicles. Intellias applies Vector, CANoe, dSPACE, and MATLAB/Simulink toolchains while aligning development with ISO 26262, Automotive SPICE, and ISO/SAE 21434. Its automotive embedded development services are supported by a TISAX Assessment Level 3 garage in Ingolstadt with secure prototype areas, 16 vehicle spaces, capacity for up to 120 test benches, OEM network integration, and facilities for pre-series vehicle validation.
AUTOSAR Classic is designed for deeply embedded, resource-constrained ECUs that require deterministic real-time behavior, using a layered architecture of application software, RTE, BSW, and MCAL. AUTOSAR Adaptive targets high-performance computing platforms that run dynamic, service-oriented applications and require greater processing power, flexible deployment, and updateability. OEMs typically use Classic for body, powertrain, chassis, sensor, and actuator control and Adaptive for centralized ADAS, infotainment, connectivity, and vehicle-computer workloads; Intellias supports both platforms within its automotive embedded development services and integrates them across mixed vehicle E/E architectures.










