Job Description: Software Engineer -- Vehicle Integration System (VIS) Position Description As a Software Engineer -- Vehicle Integration System (VIS), you will play a key role in the architecture, development, and evolution of Ford's Vehicle Integration System (VIS), a critical platform enabling vehicle upfitters, fleet customers, and internal engineering teams to configure and integrate aftermarket equipment with production vehicles. You will work at the intersection of cloud software, embedded vehicle systems, AI-powered engineering tools, and vehicle communications networks. The role requires strong software engineering expertise combined with automotive systems knowledge to enable seamless integration of CAN/J1939 signals, vehicle switches, telematics data, proprietary vehicle modules, and future software-defined vehicle capabilities. The ideal candidate is a technically strong engineer who can translate feature requirements from vehicle engineering teams into scalable software solutions while collaborating across software, hardware, telematics, validation, and supplier organizations. Key Responsibilities Software Engineering - Design, develop, and maintain scalable Google cloud-native and desktop-based applications supporting VIS configuration workflows, with a solid understanding of vehicle architecture. - Architect and implement microservices and APIs using: - Java - Spring Boot - Node.js - React - PostgreSQL - Develop reusable frameworks and services that support vehicle feature configuration, signal management, and integration workflows. - Ensure performance, scalability, reliability, and cybersecurity requirements are met across all VIS components. Vehicle Integration & Systems Engineering - Collaborate closely with vehicle feature engineers, module owners, telematics teams, and external suppliers to integrate new vehicle capabilities into VIS. - Support integration of: - CAN and CAN-FD signals - J1939 communications - LIN-based devices - Vehicle Ethernet technologies - Hard switches and soft switches - Telematics and connected vehicle services - Analyze vehicle architecture changes and determine impacts to VIS configuration models and workflows. - Participate in system-level design reviews and technical feasibility assessments. - Design and integrate AI-powered capabilities that improve configuration authoring, validation, and diagnostics. - Evaluate emerging AI technologies applicable to vehicle integration and software-defined vehicles. Operational Excellence - Lead observability initiatives using SLOs, SLIs, dashboards, monitoring, and alerting frameworks. - Drive performance engineering, API governance, and software quality practices. - Champion secure software development lifecycle practices and compliance requirements. - Mentor engineers and promote engineering best practices across the team. Cross-Functional Leadership - Translate business and vehicle feature requirements into technical implementation plans. - Lead technical discussions with hardware teams, telematics architects, validation teams, and external suppliers. Skills Required - Embedded Software - PostgreSQL - Spring Boot - React - Google Cloud Platform - Java - API Minimum Experience Requirements Candidates must bring the following minimum experience: Java / Spr