Embedded Software Engineer (VIS)

Job#: 3055871
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 / Spring Boot: 5-7 years

Node / TypeScript / React: 3-5 years

PostgreSQL: 3-5 years

Embedded Software: 3-5 years

• In-vehicle software development and testing with automotive experience is required.
• Must have knowledge of vehicle systems such as:
  • CAN signals
  • Telematics
  • Gateways
  • TCUs

Google Cloud Platform: 3-5 years

REST and GraphQL APIs: 5-7 years

Experience working with automotive communication networks

Skills Preferred
N/A
Experience Required
Software Engineering

• 7+ years of software engineering experience with enterprise-scale systems.
• Expert-level proficiency in:
  • Java / Spring Boot
  • Node.js / Express
  • ReactJS
  • PostgreSQL
  • REST APIs
• Experience building distributed systems, microservices, and event-driven architectures.
• Strong understanding of:
  • API design
  • OpenAPI specification
  • GraphQL
  • Integration patterns

Cloud & DevOps

• Experience with cloud-native development on:
  • Azure
  • Google Cloud
  • AWS
• Experience with:
  • Kubernetes
  • Docker
  • CI/CD pipelines
  • Infrastructure as Code
• Hands-on experience with:
  • Jenkins
  • Tekton
  • Terraform
  • GitHub
  • SonarQube
  • JFrog
  • FOSSA
  • 42Crunch

Automotive & Vehicle Integration

• Experience working with automotive communication networks:
  • CAN
  • CAN FD
  • J1939
  • LIN
  • Automotive Ethernet
• Understanding of vehicle electrical architectures and body control systems.
• Experience analyzing vehicle signals, message definitions, and communication protocols.
• Ability to interpret vehicle feature requirements and implement corresponding software solutions.
• Experience working with supplier-delivered software, firmware, or hardware modules.

Experience Preferred
Automotive Domain

• Experience with:
  • Upfitter Integration
  • Fleet Solutions
  • Commercial Vehicles
  • Body Builder Interfaces
  • Aftermarket Equipment Integration
• Familiarity with Ford vehicle electrical architecture concepts.
• Understanding of:
  • Telematics systems
  • Gateways
  • TCUs
  • Connected vehicle platforms
• Knowledge of J1939 PGNs, SPNs, and heavy-duty vehicle communication standards.
• Exposure to:
  • Service-oriented vehicle architecture
  • OBD2
  • DTC
  • Vehicle data platforms
  • Cloud-connected vehicle ecosystems

Additional Technical Experience

• Experience with analytics and visualization platforms.
• Experience working with vehicle diagnostic tools and data acquisition systems.
• Familiarity with AUTOSAR architecture concepts.
• Understanding of concepts around cybersecurity standards in automotive functional safety.

Professional Skills

• Strong communication and stakeholder management skills.
• Ability to lead technical discussions across software, hardware, and systems engineering teams.
• Demonstrated ability to mentor engineers and influence technical direction.
• Experience working in Agile product development environments.

Education Required

• Bachelor's Degree

Education Preferred

• Not Applicable

Additional Safety Training / Licensing / Personal Protection Requirements

• No additional requirements specified.

Additional Information
Hybrid: 4-5 days per week in the office
Additional responsibilities include:

• Analyze vehicle feature requirements, PRDs, Gherkin scenarios, signal definitions, network specifications, and module interface documentation to translate vehicle capabilities into VIS configuration logic and software implementations.
• Develop and maintain high-level and detailed architecture designs for:
  • VIS components
  • APIs
  • Vehicle integration services
  • AI-enabled capabilities
  • Cloud-connected systems
• Champion modern engineering practices, including:
  • Automated testing
  • Test-driven development
  • CI/CD
  • Infrastructure as Code
  • Code quality metrics
  • DevSecOps principles
• Evaluate technical requirements and determine appropriate:
  • Architecture patterns
  • Technology stacks
  • Integration approaches
  • Deployment strategies
  • Data models to support current and future VIS capabilities.

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