The posting
Job Description
We made history and now we work to transform the future – for our customers, our communities and our families. You'll see your work on the road every day, helping people move freely and pursue their dreams. At Ford, you can build more than vehicles. Come build what matters.
In this position...
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.
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.
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.
As a Systems Engineer – End-to-End Software Diagnostics & Observability 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
What you'll do...
Cradle-to-Grave Feature Ownership: 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.
The Quality Gatekeeper: 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.
Engineering for Personas: 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.
Technical-to-Business Translation: 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.
The Intelligence Loop: Engineer AI-powered diagnostic capabilities that combine vehicle signals (DTCs, PIDs, Ethernet logs) with LLM-based reasoning (RAG) to automate root-cause isolation.
Production Validation: 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.
Qualifications
You'll have...
BS or equivalent degree in Computer Science, Software Engineering, Electrical Engineering, Computer Engineering, or a related technical field, or equivalent practical experience developing and deploying software solutions.
1+ years of professional or co-op experience developing web applications using React, JavaScript/TypeScript, or comparable technologies, including experience with API integration, relational databases, and production deployment.
Experience developing and modifying Python scripts to automate engineering workflows, improve software build processes, or streamline data processing. Ability to identify redundant steps and deliver measurable efficiency improvements.
Experience delivering at least 1 application from requirements and database design through deployment and user adoption. Familiarity with GraphQL or REST APIs, SQL, and database access tools such as Prisma or comparable frameworks.
Experience building at least 1 AI-enabled application using LLM APIs, retrieval-augmented generation (RAG), or conversational agents. Ability to integrate internal knowledge sources or external information services into practical user-facing workflows.
Experience integrating machine, equipment, or operational data into software applications, including dashboards or automated workflows. Understanding of manufacturing metrics such as availability, performance, quality, cycle time, or overall equipment effectiveness (OEE).
Experience creating or improving technical documentation, user manuals, demonstration materials, or application requirements. Ability to work with engineers, customers, and operational stakeholders to translate needs into usable software.
Experience diagnosing software or hardware issues, identifying root causes, and implementing corrective actions. Demonstrated ability to improve system usability, processing efficiency, or engineering productivity.
Even better, you may have...
Experience independently owning a significant software application or module through the full lifecycle, including requirements gathering, architecture, implementation, deployment, and support for active users.
Experience developing applications within a manufacturing execution system (MES), particularly for quality, changeover, preventive maintenance, tooling management, or production analytics.
Experience building preventive maintenance or asset-management workflows involving work orders, maintenance history, reusable task libraries, and time- or usage-based scheduling.
Cloud & Scheduled Processing: Experience using Azure, Cloudflare Workers, or comparable cloud services to support scheduled processing, API integrations, or application backends.
Experience deploying a RAG-based troubleshooting assistant that retrieves relevant guidance from historical downtime records, escalation logs, or internal technical documentation.
Experience supporting vehicle or embedded-system testing using Simulink, Raptor-CAL, Raptor-DEV, or comparable development and calibration tools, including HMI development.
Experience building production dashboards that combine live machine APIs, production targets, and historical shift data to help engineers and supervisors investigate performance losses.
Experience developing mobile applications using React Native/Expo, Supabase, or comparable technologies, including authentication, API integration, caching, state management, and local persistence.
A track record of delivering software improvements that reduce recurring costs, shorten engineering workflows, improve customer support, or replace manual processes and third-party tools.
You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!
As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including:
• 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.
This position is a salary grade 7 and ranges from $99,600-$166,600.
Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value.
For more information on salary and benefits, click here: https://fordcareers.co/GSR
Visa sponsorship is not available for this position.
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.
We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.
This position is hybrid with a requirement to be onsite four or more days per week. #LI-Hybrid
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