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Engineer, Fleet Health Monitoring

Job in Newark, Alameda County, California, 94560, USA
Listing for: Phmsociety
Full Time position
Listed on 2025-11-19
Job specializations:
  • Engineering
Salary/Wage Range or Industry Benchmark: 70000 - 90000 USD Yearly USD 70000.00 90000.00 YEAR
Job Description & How to Apply Below

We are currently seeking an Engineer, Fleet Health Monitoring to join our team. You will work on vehicle architecture and understand how to apply data solutions to analyze vehicle issues and performance. Also you will collect vehicle issues during the manufacturing process and coordinate analytic and alert development. Our ideal candidate exhibits a can‑do attitude and approaches his or her work with vigor and determination.

Candidates will be expected to demonstrate excellence in their respective fields, to possess the ability to learn quickly and work in a fast‑paced environment.

The Role
  • Work on vehicle architecture and understand how to apply data solutions to analyze vehicle issues and performance.
  • Collect vehicle issues during the manufacturing process and coordinate analytic and alert development.
  • Validate, disposition, and escape vehicle alerts by working closely with Systems, Manufacturing, and Diagnostic Engineering teams to address alerts on vehicles within General Assembly (GA) and End‑of‑Line Testing (EOL) at our AMP1 facility in Casa Grande, AZ.
  • Build dashboards to help visualize alerts and drive resolution of vehicle issues during the manufacturing process.
  • Work on vehicle trend analysis and health monitoring of vehicles up to delivery to the customer.
  • Resolve critical issues as they arise by coordinating with cross‑functional teams.
  • Troubleshoot data issues.
Qualifications
  • 1+ years of experience in an engineering, technical, or data analyst role.
  • Strong interpersonal skills and ability to communicate technical information to non‑technical parties.
  • Experience in process and project development within a cross‑functional team.
Preferred Qualifications
  • Understanding of analytics and machine learning and their applications.
  • Proficiency in SQL & Python.
Education
  • BS in Engineering or Technology.
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