S32 MCUs and MPUs for automotive and industrial applications provide an architecture that balances performance and power efficiency. They’re designed to address current and future connectivity, security and safety challenges. As part of a complete solution, we provide a complimentary S32 Design Studio, which includes a full automotive-grade SDK with low-level drivers and ecosystem support.

Bringing Future Vehicles to Market Faster


  • 10x the performance of the previous NXP family of automotive devices
  • Scalability across products based on Arm® Cortex®-A, Cortex-R and Cortex-M cores with ASIL D capabilities
  • Common IP set + application-specific IP


  • Maximizes software re-use within the domain and across domains
  • Identical software development environment
  • Common instruction set, memory map, reset, clock, interrupt

Over-the-Air Updates (OTA)

  • Zero downtime with full rollback options
  • Upgradability for all car domains via secure gateway and common architecture
  • Hardware security engine in all processors offers the building blocks to implement end-to-end security in the entire vehicle architecture

S32 Automotive Processing Platform

Secure Over-the-Air Updates

The S32 Platform allows zero-downtime OTA capability to any S32-enabled car domains via a secure gateway and common domain architecture.

Fault Recovery Rollbacks

With the memory flexibility in the S32 Platform, multiple firmware versions can be maintained to allow software rollback to ‘known good’ versions, reducing the risk of installation failure.

Webinars and Trainings

Get an introduction to the security architecture of the S32 automotive processing platform by taking this on-demand session.

Gain an understanding of the current standards for functional safety, cybersecurity, and AUTOSAR and their implications for ECU design by learning how to use the S32K3 MCU family’s hardware and software components to achieve compliance with each standard.

This webinar shows how to use Deep Learning Toolbox, Simulink, and Embedded Coder to generate C code for AI algorithms for battery SoC estimation and deploy them to an NXP S32K3 microcontroller.

Automotive transformation areas are connected and electric vehicles which will bring opportunities for new vehicle services and efficiencies.

This session introduces concepts and architecture of XRDC, and how to use XRDC to implement resource isolation and access control for S32G processor.

Learn more about the right partitioning to address autonomous driving applications from NCAP to L4.