Senior Prognostics Engineer– Low Voltage
Core
Design, validate, and deploy production-ready prognostic algorithms to predict and prevent low voltage failures in vehicles, detecting parasitic drains and assessing electrical system health.
Role type
Senior IC prognostics data engineer (automotive low voltage)
Builds
Scalable, field-proven prognostic algorithms for lithium-ion battery systems and vehicle health management
Domain
Automotive / Low voltage power systems / Predictive maintenance
Deliverable
production ML models
Required skills
Python, machine learning frameworks, SQL, statistical analysis, anomaly detection, clustering, signal processing, data visualization, system modeling
Preferred skills
PySpark, Matlab, LLMs, AI-enabled tooling, degradation modeling, functional safety (ISO 26262, ASIL)
Technologies
PowerBI, Databricks Apps, Azure Apps
Responsibilities
Design and develop prognostic algorithms for low voltage components and parasitic drain detection; Model low voltage system behavior and failure modes; Pilot and validate prognostic features in development and test fleets; Analyze field data to evaluate alert effectiveness and tune thresholds; Collaborate with architecture and safety teams to ensure prognostic strategies meet system safety goals; Develop roadmaps and strategy for low voltage prognostics across architectures
Seniority
Senior, hands-on IC
