Diagnostics Systems Engineer

The Diagnostics Data Systems Engineer will play a pivotal role in shaping the future of vehicle diagnostics by leading the development of diagnostic requirements, integrating foundational documents into cloud environments (GCP), and performing diagnostics gap analysis. This position focuses on leveraging Systems Engineering principles, Industry Diagnostics Standards, and emerging technologies-including GenAI and Large Language Models (LLMs)-to enhance diagnostic capabilities, automate manual workflows, and support the development of AI-assisted tools, ultimately ensuring vehicle quality and customer satisfaction.

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. Product Development uses design thinking & user experience methods to deliver breakthrough products and services that delight our customers.

We bring innovative, exciting, and sustainable ideas to life. We have opportunities around the world for you to contribute to advancements in autonomy, electrification, smart mobility technologies, and more!

What you'll do...

* Diagnostic Requirements:
Define and establish Diagnostic Common data requirements based on analysis of field issues and diagnostic gap analysis.

* Diagnostic Gap Analysis & Catalog Management:
Conduct thorough Diagnostic Gap Analyses across vehicle features, Electronic Control Units (ECUs), and components. Maintain and continuously improve diagnostic requirements in collaboration with cross-functional system teams.

* Agile Team Leadership:
Participate in and lead SAFe Agile ceremonies, acting as a Scrum Master/Lead to organize daily stand-ups, backlog refinements, and sprint planning.

* Workflow Automation & AI Integration:
Drive innovation by developing Python automation scripts, utilities, and full-stack applications leveraging Large Language Models (LLMs) to automate diagnostic requirement generation and streamline tool integration.

* Cross-Functional Collaboration:

Support engineering teams in developing utilities and applications on the department's AI tools. Collaborate with Feature and Algorithm teams to compile, consolidate, and validate data collection requests.

* Data Workflows:
Design and implement workflows that empower systems engineering and AI teams to utilize diagnostic data and requirements effectively.

What you'll do...

* Diagnostic Requirements:
Define and establish Diagnostic Common data requirements based on analysis of field issues and diagnostic gap analysis.

* Diagnostic Gap Analysis & Catalog Management:
Conduct thorough Diagnostic Gap Analyses across vehicle features, Electronic Control Units (ECUs), and components. Maintain and continuously improve diagnostic requirements in collaboration with cross-functional system teams.

* Agile Team Leadership:
Participate in and lead SAFe Agile ceremonies, acting as a Scrum Master/Lead to organize daily stand-ups, backlog refinements, and sprint planning.

* Workflow Automation & AI Integration:
Drive innovation by developing Python automation scripts, utilities, and full-stack applications leveraging Large Language Models (LLMs) to automate diagnostic requirement generation and streamline tool integration.

* Cross-Functional Collaboration:

Support engineering teams in developing utilities and applications on the department's AI tools. Collaborate with Feature and Algorithm teams to compile, consolidate, and validate data collection requests.

* Data Workflows:
Design and implement workflows that empower systems engineering and AI teams to utilize diagnostic data and requirements effectively.