EV Diagnostics & AI Systems Engineer

Ford

Dearborn (MI)

Presencial

USD 90 000 - 150 000

Tempo integral

Há 4 dias
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Resumo da oferta

Ford Motor Company is seeking a Systems Engineer for End-to-End Software Diagnostics & Observability within the EVDD team. You will own feature development from concept to production, merging embedded systems, cloud services, and AI/ML engineering to deliver scalable diagnostic workflows.

This role focuses on building an observable, production-ready pipeline that translates telemetry into actionable insights for engineers, technicians, and leadership, enabling rapid fault isolation and proactive

Qualificações

  • BS or equivalent degree in a technical field or equivalent practical experience developing and deploying software solutions.
  • Experience developing web applications with React/JavaScript.
  • Strong understanding of embedded systems, cloud services and AI/ML concepts.

Responsabilidades

  • Cradle-to-Grave Feature Ownership: Define vehicle observability needs and lead integration to global production monitoring.
  • The Quality Gatekeeper: Define and enforce the Definition of Done for diagnostic workflows with observable, maintainable code.
  • Engineering for Personas: tailor system behavior and data visualization for diverse users including 3rd-party technicians and enterprise engineers.
  • Technical-to-Business Translation: communicate technical tradeoffs and root-cause analyses to technical and non-technical leadership.
  • The Intelligence Loop: engineer AI-powered diagnostics combining vehicle signals with AI reasoning to automate fault isolation.
  • Production Validation: lead integration testing and simulate failure modes to ensure correct alerts and human-in-the-loop processes.

Conhecimentos

React
JavaScript
Embedded systems
Cloud architecture
AI/ML engineering

Formação académica

BS or equivalent in Computer Science, Software Engineering, Electrical Engineering, or related field

Descrição da oferta de emprego

Ford Motor Company is seeking a Systems Engineer for End-to-End Software Diagnostics & Observability within the EVDD team. You will own feature development from concept to production, merging embedded systems, cloud services, and AI/ML engineering to deliver scalable diagnostic workflows.

This role focuses on building an observable, production-ready pipeline that translates telemetry into actionable insights for engineers, technicians, and leadership, enabling rapid fault isolation and proactive

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