Systems Engineer at Ford Motor Company

Dearborn, Michigan, United States -

Full Time

Start Date

Immediate

Expiry Date

09 Oct, 26

Salary

143200.0

Posted On

11 Jul, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, AI/ML, Embedded Systems, Cloud Architecture, Docker, Git, LangChain, Root Cause Analysis, CAN, DoIP, SOME/IP, Grafana, Dynatrace, Datadog, FMEA, System Requirements

Industry

Motor Vehicle Manufacturing

Description

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 from reactive diagnostics to proactive observability. We are overhauling our global legacy systems to build a state-of-the-art End-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 As a Systems Engineer within the Electric Vehicles, Digital and Design (EVDD) team, you will not be a "siloed" contributor. You will sit at the epicenter of Embedded Systems, Cloud Architecture, and AI/ML Engineering, owning the entire birth-to-deployment journey of intelligent diagnostic workflows. 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.

Responsibilities

Architect and own the end-to-end journey of intelligent diagnostic workflows from vehicle silicon to cloud neural networks. Develop AI-powered embedded vehicle diagnostics to improve fault isolation and resolve complex software issues for next-generation vehicles.