AWS Automotive SDV Services
Software-Defined Vehicle Cloud Platform
Role
Research, Product, UX & Solutions Architect - Co-development Partner Lead
Challenge
The automotive industry needed a unified platform to federate, govern, and distribute vehicle data in near real-time. Automakers required a single point of truth for vehicle-generated data with well-defined interfaces and simple data ingestion capabilities to accelerate software-defined vehicle development.
Solution
Built a fully managed cloud service providing a unified data plane for next-generation software-defined vehicles (SDV). The platform handles secure distribution and management of near real-time application and vehicle data between millions of connected vehicles and cloud-native services. Simplifies bidirectional data flow while reducing infrastructure costs and improving data governance.
My Role & Contributions
Primary Responsibilities
Co-development Partner Lead
Led direct collaboration with BMW DE-7 R&D organization to build next-generation Smart Vehicle Shadow system as primary technical interface between AWS and BMW teams.
Solutions Architect - Honda
Reverse engineered Honda's existing infrastructure and designed integration architecture for SDV platform adoption, including GenAI and Agentic systems implementation.
Product & UX Leadership
Cross-functional leadership spanning Research, Product strategy, and UX design for automotive cloud services serving millions of connected vehicles.
Key Achievements
BMW Platform Launch
Co-developed first-ever automotive SDV cloud platform, launching with BMW's "Neue Klasse" EVs
Scale Innovation
Architected platform handling 3x data volume of previous systems, processing terabytes daily
Industry Expansion
Extended platform to Honda, Toyota, Jaguar Land Rover as part of AWS for Automotive services
GenAI Integration
Pioneered integration of Generative AI and Agentic systems for enhanced EV charging experiences
Smart Vehicle Shadow
Built unified data plane managing near real-time data for millions of connected vehicles
Software-Defined Vehicle Data Platform
Unified Vehicle Data Ecosystem
Create data-rich representations of vehicle state by combining vehicle data with EV systems, service history, and charging networks. The platform helps automakers accelerate development of new data-driven vehicle features, seamless digital experiences, and operational insights.
Simplifies data governance, enhances security, and reduces the cost of maintaining global cloud infrastructure needed for connected vehicles while improving vehicle life-cycle management.
Core Platform Capabilities
Single Point of Truth
Unified data repository for all vehicle-generated data across fleets
Unified Data Model
Consistent data structure across all vehicle generations and models
Well-Defined Interfaces
Documented attribute definitions and standardized APIs
Real-Time Data Retrieval
Near real-time access to critical vehicle operational data
Fast Problem Resolution
Rapid diagnostics and issue identification across vehicle fleets
Simple Data Ingestion
Easy integration and data onboarding for all vehicle systems
BMW Partnership & Smart Vehicle Shadow System
Co-Development with BMW DE-7 R&D
Worked directly with BMW's DE-7 research and development organization as co-development partner to build the next-generation Smart Vehicle Shadow system. BMW became the first automaker to use our cloud-based vehicle data platform in late 2022.
Platform Launch
First featured in BMW's "Neue Klasse" line of electric vehicles
Scale Impact
Handles 3x the data volume of previous BMW connected vehicle platforms
Current Processing
BMW processes terabytes of data daily from millions of connected vehicles
Smart Vehicle Shadow System
Co-developed customizable, cloud-based platform for connected vehicle data management. Designed to help automakers manage and distribute data from millions of vehicles while supporting advanced vehicle features and personalized driver experiences at lower cost.
Industry Availability
While BMW was first to use the platform, it's now available to other automakers as part of AWS for Automotive services.
Read BMW Partnership Coverage (The Verge)Honda Solutions Architecture & GenAI Integration
Next-Generation Software-Defined Vehicles
Served as Solutions Architect to reverse engineer Honda's current infrastructure and apply our SDV solution. Integrated Generative AI and Agentic systems to support Honda's future connected vehicle ecosystem and improve EV charging experiences.
Infrastructure Analysis
Reverse engineered existing Honda systems for SDV platform integration
GenAI Integration
Implemented generative AI for enhanced EV charging experiences
Agentic Systems
Designed autonomous systems for Honda's connected vehicle future
Global Automotive Partnerships
BMW
First automaker to use the co-developed platform, launching with 'Neue Klasse' EVs
Honda
Next-generation SDV development with GenAI-powered EV charging experiences
Toyota
Toyota Connected data services for logistics and real-time vehicle data
Jaguar Land Rover
Connected vehicle services and digital experiences
Expanding Automotive Cloud Ecosystem
Working with BMW, Honda, Toyota, and Jaguar Land Rover to transform the automotive industry through cloud-native, software-defined vehicle platforms that enable the next generation of connected mobility experiences.
Connected Vehicles
Global fleet management
Data Volume
Next-gen processing capacity
Data Distribution
Near real-time processing
Data Governance
Enterprise-grade security