About the role

Diagnostics & Data Systems Engineer enhancing vehicle diagnostics through data engineering and AI. Collaborating in a hybrid team to advance Ford's electric vehicle technology.

Responsibilities

Define and establish Diagnostic Common data requirements based on analysis of field issues.
Conduct thorough Diagnostic Gap Analysis across vehicle features, Electronic Control Units (ECUs), and components.
Drive innovation by developing Proof-of-Concepts (POCs) for Large Language Models (LLMs) to enhance process efficiency within the Diagnostics team.
Serve as an Agile Scrum Master for the team on a rotational or set cadence, fostering agile practices and continuous improvement.
Support cross-functional teams in developing utilities and applications on the department's AI tool.
Lead comprehensive investigations into vehicle data sources, collaborating with engineering teams to understand data storage and identifying high-value data points essential for various use cases.
Guide our working partners in standardizing and normalizing diverse datasets and leading all data validation efforts post-normalization to ensure data integrity and quality.
Design and implement workflows that empower system engineering and AI teams to effectively utilize diagnostic data for building predictive models.
Develop precise SQL queries to extract and structure Big Query table views tailored for specific diagnostic use cases.

Bachelor’s degree in Electrical, Computer, Software Engineering, Data Science, or a related field.
3+ years of experience in automotive diagnostics, vehicle systems engineering, or data engineering roles.
3+ years of experience with data analysis, data validation, and developing complex SQL queries.
2+ years of experience with programming/scripting languages (e.g. Python, Scala, Java) for data manipulation and automation.
Proven experience in data integration and working with multiple data sources/repositories.
Excellent analytical, problem-solving, and troubleshooting skills.
Master’s degree in relevant engineering or data science discipline (even better).
Experience with cloud-based data platforms (e.g., Google Cloud Platform, Big Query, AWS, Azure) and building data lakes (even better).
Familiarity with in-vehicle communication protocols (e.g., CAN, LIN, Ethernet, UDS, OBD-II) (even better).
Experience with AI/Machine Learning concepts and model development, especially in a diagnostic context (even better).
Experience with Agile methodologies and acting as a Scrum Master (even better).
Knowledge of vehicle diagnostic requirements and troubleshooting guides (even better).
Experience working with external vendors for data solutions (even better).
Strong communication and collaboration skills to work effectively with diverse engineering and IT teams (even better).

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.