Engineer, Automotive Prognostics and Health Management

Responsibilities

• Cross-functional Collaboration: Partner with engineering, quality, service, and data teams to design scalable processes for health management systems and integrate them into the FHM infrastructure.
• Field Issue Monitoring: Acquire and analyze vehicle signals, tabular, and textual data from diverse sources (e.g., telematics, diagnostics, service logs) to proactively identify and track emerging issues.
• Health Model Development: Design, validate, and refine algorithms for fault detection, diagnostics, and prognostics.
• Health Management System Operations: Monitor and improve the performance of deployed health models, ensuring continuous enhancement across the fleet.
• FHM Platform Enhancement: Contribute to the evolution of the FHM platform by integrating relevant services and tools that improve operational efficiency, data flow, and system synergy.
• Communication and Reporting: Prepare and deliver technical presentations, maintain dashboards, and communicate findings to both technical and non-technical stakeholders, supporting data-driven decision-making.

Qualifications

• Bachelor’s degree in Electrical, Mechanical Engineering, Computer Science or related field.
• 2+ years of experience in PHM, reliability, or related areas.
• Proficiency in SQL, Python or MATLAB; strong analytical and statistical skills.
• Excellent communication and teamwork skills.
• One Team Mentality: Must be a self-starter and create opportunities to advance the team’s vision. Must regularly seek feedback from the team and lead to ensure alignment with the team’s vision.
• Eagerness to learn and adapt to new technologies.

Preferred Qualifications

• Familiarity with automotive standards, vehicle dynamics, and telematics.
• Experience with statistical analysis for reliability.
• Understanding of Service Operations.
• Software development experience.
• C++ Programming experience.
• Knowledge of automotive network architecture.
• Familiarity with FMEA or reliability assessment.
• Experience with JAMA or other similar requirements management software.
• Experience developing BI dashboards in Tableau or similar software.
• Familiarity with embedded software development.