Ford Motor Company

ECG / TCU Product Development Engineer

Ford Motor Company

full-time

Posted on:

Location Type: Hybrid

Location: DearbornMissouriUnited States

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Salary

💰 $97,140 - $162,540 per year

About the role

  • Craft effective inputs and utilize prompt engineering to guide AI models in producing accurate and relevant diagnostic outputs.
  • Manage, query, and wrangle large datasets using SQL, transforming raw data into insightful visualizations to drive smart decision-making.
  • Design, train, and deploy machine learning and deep learning models, supervised and unsupervised, to production using end-to-end MLOps pipelines.
  • Lead active triage of ECG and TCU issues raised by global test teams, vehicle programs, and Ford dealerships during pre-production prototype milestones through post-production milestones.
  • Drive the daily triage of global technical issues using JIRA to prioritize and route defects, while leveraging GitHub to reference source code and aid in deeper root cause analysis.
  • Troubleshoot complex, interconnected systems comprised of both physical and software-based systems.
  • Support cross-functional issue analysis, identifying permanent solutions at a vehicle system level.
  • Act as the first technical contact for ECG and TCU issues in customer vehicles as identified by Ford’s global dealership network.
  • Work with cross-functional teams to quickly identify faulting systems, subsystems, or modules to enable dealership repairs for customers.
  • Support large scale data analysis across entire fleets of customer fleets with the goal of identifying patterns of behavior with limited information.

Requirements

  • BS in Electrical, Computer, or Software Engineering or related technical field.
  • Proficiency in programming languages including Python, R, and SQL.
  • Strong foundation in mathematics and statistics, including linear algebra, calculus, and probability.
  • Working knowledge of modern data platforms (e.g., BigQuery) and cloud computing environments (GCP, Azure, or AWS).
  • Proficiency in data visualization tools and libraries (e.g., Power BI, Looker Studio, Matplotlib).
  • Experience with Large Language Model (LLM) ecosystems and tools.
  • Experience building and managing MLOps pipelines (e.g., MLflow, Kubeflow, model registries, feature stores, CI/CD).
  • Basic proficiency in issue management platforms (Jira).
Benefits
  • 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.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
PythonRSQLmachine learningdeep learningMLOpsdata visualizationmathematicsstatisticsLarge Language Model
Soft Skills
problem-solvingcross-functional collaborationcommunicationleadershipanalytical thinking