Systems Engineer

At Ford Motor Company, we believe freedom of movement drives human progress. With our exciting plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow’s transportation.

Why Join EVDD?

You’ll join an agile team of doers pioneering our EV future. We are customer-obsessed, entrepreneurial, and data-driven.

Modern vehicles are increasingly software-defined, connected, and intelligent. Delivering a best-in-class ownership and service experience now depends on Ford’s ability to detect, understand, diagnose, and resolve complex software and electronics issues quickly and accurately. That is why Ford is investing in an End-to-End Software Diagnostics & Observability initiative focused on transforming how vehicle issues are understood across engineering, diagnostics, and service workflows.

We are building state-of-the-art AI-powered Embedded Vehicle Diagnostics capabilities that combine vehicle signals, diagnostics, logs, engineering knowledge, service procedures, and intelligent reasoning to improve case quality, accelerate fault isolation, guide next-best actions, and support scalable human-in-the-loop escalation. This initiative sits at the intersection of embedded systems, cloud services, diagnostics, observability, and AI/ML engineering.

Do you want to help define the future of AI-enabled diagnostics for next-generation vehicles? Ford’s team is a fast-paced, highly collaborative organization that translates advanced technical strategy into deployable capabilities. If you are passionate about AI/ML, complex systems, embedded software, and solving real-world engineering problems at scale, consider joining our forward-thinking team.

The Mission: Building the Nervous System of the SDV

At Ford Motor Company, we believe freedom of movement drives human progress. As vehicles become software-defined, intelligent, and connected, our ability to compete depends on a fundamental shift: moving fromreactive diagnosticstoproactive observability.

We are overhauling our global legacy systems to build a state-of-the-artEnd-to-End (E2E) Software Diagnostics & Observability platform. This is the "nervous system" for our next generation of vehicles—an intelligent pipeline that integrates embedded telemetry, cloud-based data lakes, and AI reasoning engines to resolve complex issues before they impact the customer.

The Role: Full-Lifecycle Ownership

You will be the architect of the data’s journey—from the vehicle's silicon to the cloud’s neural networks—ensuring that our systems are production-hardened, scalable, and serve a diverse global ecosystem of remote users, 3rd-party technicians, and enterprise stakeholders.

Minimum Qualifications

• Academic Foundation:BS equivalent or higher degree in Computer Science, Systems Engineering, Electrical Engineering, or a related technical field. Minimum3.5 cumulative GPA(or equivalent evidence of technical rigor).
• Python & Automation Mastery:1+ years of experience writing2,000+ lines of clean, PEP8 compliant, modular Python codefor data processing, API integration, or system automation.
• Production System Integration:1+ years of experience withGit-based version control(minimum 50+ commits/merges) andcontainerization (Docker), including deploying at least3 containerized applicationsto a cloud or local environment.
• AI/ML Implementation:1+ years of professional/research experience in at least2 end-to-end AI/ML projectsinvolving LLM orchestration (., LangChain) or deploying a reasoning agent into a "live" state.
• Data Integrity:1+ years of experience processing and cleaning datasets exceeding10,000+ recordsfor model training or inference.
• Technical Documentation:1+ years of experience translating ambiguity into structure by authoring at least3-5 detailed technical specifications(., API contracts, System Requirements, or Sequence Diagrams).
• Problem Solving:1+ years of experience debugging complex systems (Embedded or Cloud), resolving at least5-10 high-priority technical blockersusing Root Cause Analysis (RCA).

Even Better If You Have

• Production Track Record:Experience leading at least1 significant software modulethrough the full lifecycle from initial requirements to alive, production environmentwith active users.
• Embedded Protocols:1+ years of experience using logic analyzers or tools (Wireshark/CANoe) to decode3+ automotive protocols(., CAN, DoIP, or SOME/IP).
• Cloud Observability:Experience building real-time production dashboards inGrafana, Dynatrace, or Datadogto monitor system health and "drift."
• Systems Engineering Rigor:Experience authoring5+ pieces of critical production documentation(FMEA, Interface Control Documents, or Production Validation Plans).

• Scale:Experience working on a system that handled1,000+ concurrent nodes or data streams, demonstrating an understanding of horizontal scalability.

Visa sponsorship is not available for this position.