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

At Ford Motor Company we believe freedom of movement drives human 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 tomorrows transportation.

Why Join EVDD

Youll 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 Fords 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 buildingstate-of-the-artAI-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 Fords 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 vehiclesan 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 End-to-End Software Diagnostics & Observability within theElectric Vehicles Digital and Design (EVDD)team you will not be a siloed contributor. You will sit at the epicenter ofEmbedded 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 datas journeyfrom the vehicles silicon to the clouds neural networksensuring that our systems are production-hardened scalable and serve a diverse global ecosystem of remote users 3rd-party technicians and enterprise stakeholders.

Core Responsibilities

• 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 Fords rigorous production benchmarks.
• Engineering for Personas:Tailor system behavior and data visualization for a diverse user base. Ensure a3rd-party techniciangets a repair hint aremote driverexperiences a seamless fix and anenterprise engineerreceives 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.

Minimum Qualifications

• Academic Foundation:BS or 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 writing2000 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 (e.g. LangChain) or deploying a reasoning agent into a live state.
• Data Integrity:1 years of experience processing and cleaning datasets exceeding10000 recordsfor model training or inference.
• Technical Documentation:1 years of experience translating ambiguity into structure by authoring at least3-5 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 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(e.g. 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 handled1000 concurrent nodes or data streams demonstrating an understanding of horizontal scalability.

You may not check every box or your experience may look a little different from what weve 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 builderor 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 Years Day

• Paid time off and the option to purchase additional vacation time.

This position is a salary grade 6 and ranges from $85400-$143200.

Final determination of salary grade will be based on candidates 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: 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 the United States if you need a reasonable accommodation for the online application process due to a disability please call 1-.

This position is hybrid. Candidates who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week. #LI-Hybrid