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Ford Motor Company

Systems Engineer – End-to-End Software Diagnostics, Observability

Ford Motor Company

Systems Engineer focusing on End-to-End Software Diagnostics & Observability at Ford. Collaborating on AI-driven diagnostic workflows for modern, software-defined vehicles.

Posted 5/14/2026full-timeDearborn • Missouri • 🇺🇸 United StatesJunior💰 $85,400 - $143,200 per yearWebsite

Tech Stack

Tools & technologies
CloudDockerGrafanaPython

About the role

Key responsibilities & impact
  • Partner with cross-functional teams to define "what" a vehicle needs to observe, write the technical requirements (ECU logging/Cloud interpretation), and lead the integration through to global production monitoring.
  • Define and enforce the "Definition of Done" for diagnostic workflows. You are essential to ensuring that code is not only functional but observable, maintainable, and meets Ford’s rigorous production benchmarks.
  • Tailor system behavior and data visualization for a diverse user base. Ensure a 3rd-party technician gets a "repair hint," a remote driver experiences a seamless fix, and an enterprise engineer receives high-fidelity raw telemetry.
  • Distill complex system telemetry into actionable insights. You must be able to communicate technical tradeoffs and root-cause analyses clearly to both deep-tech engineering teams and non-technical leadership.
  • Engineer AI-powered diagnostic capabilities that combine vehicle signals (DTCs, PIDs, Ethernet logs) with LLM-based reasoning (RAG) to automate root-cause isolation.
  • Lead system integration testing and simulate complex failure modes (FMEA) to ensure our E2E pipeline triggers the correct alerts and human-in-the-loop support processes.

Requirements

What you’ll need
  • Academic Foundation: BS or equivalent or higher degree in Computer Science, Systems Engineering, Electrical Engineering, or a related technical field. Minimum 3.5 cumulative GPA (or equivalent evidence of technical rigor).
  • Python & Automation Mastery: 1+ years of experience writing 2,000+ lines of clean, PEP8 compliant, modular Python code for data processing, API integration, or system automation.
  • Production System Integration: 1+ years of experience with Git-based version control (minimum 50+ commits/merges) and containerization (Docker), including deploying at least 3 containerized applications to a cloud or local environment.
  • AI/ML Implementation: 1+ years of professional/research experience in at least 2 end-to-end AI/ML projects involving LLM orchestration (e.g., LangChain) or deploying a reasoning agent into a "live" state.
  • Data Integrity: 1+ years of experience processing and cleaning datasets exceeding 10,000+ records for model training or inference.
  • Technical Documentation: 1+ years of experience translating ambiguity into structure by authoring at least 3-5 detailed technical specifications (e.g., API contracts, System Requirements, or Sequence Diagrams).
  • Problem Solving: 1+ years of experience debugging complex systems (Embedded or Cloud), resolving at least 5-10 high-priority technical blockers using Root Cause Analysis (RCA).
  • Even Better If You Have: Experience leading at least 1 significant software module through the full lifecycle from initial requirements to a live, production environment with active users.
  • Embedded Protocols: 1+ years of experience using logic analyzers or tools (Wireshark/CANoe) to decode 3+ automotive protocols (e.g., CAN, DoIP, or SOME/IP).
  • Cloud Observability: Experience building real-time production dashboards in Grafana, Dynatrace, or Datadog to monitor system health and "drift."
  • Systems Engineering Rigor: Experience authoring 5+ pieces of critical production documentation (FMEA, Interface Control Documents, or Production Validation Plans).
  • Scale: Experience working on a system that handled 1,000+ concurrent nodes or data streams, demonstrating an understanding of horizontal scalability.

Benefits

Comp & perks
  • Immediate medical, dental, vision and prescription drug coverage
  • Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
  • Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
  • Vehicle discount program for employees and family members and management leases
  • Tuition assistance
  • Established and active employee resource groups
  • Paid time off for individual and team community service
  • A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
  • Paid time off and the option to purchase additional vacation time.

ATS Keywords

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Hard Skills & Tools
PythonAPI integrationSystem automationAI/MLLLM orchestrationData processingRoot Cause AnalysisEmbedded systemsCloud integrationContainerization
Soft Skills
Problem solvingCommunicationTechnical documentationCross-functional collaborationAnalytical thinkingLeadershipAdaptabilityAttention to detailCritical thinkingUser-centric design