Design, develop, and deploy prognostic algorithms for low voltage components and parasitic drain detection (lithium ion batteries).
Model low voltage system behavior and failure modes; monitor degradation trends over vehicle life.
Pilot and validate prognostic features in development and test fleets, then support production rollout.
Partner with diagnostics, service engineering, vehicle health management, analytics, and aftersales to ensure prognostics outputs are actionable and integrated into tools and notifications.
Analyze field data to evaluate alert effectiveness and tune thresholds and calibrations.
Collaborate with architecture and safety teams to ensure prognostic strategies meet system safety goals, ASIL targets, and regulatory requirements.
Develop roadmaps and strategy for low voltage prognostics across architectures, programs, and model years.
Apply statistical analysis, anomaly detection, clustering, and signal processing to uncover new patterns in vehicle telemetry data.

Bachelor's degree in Engineering or Computer Science.
Minimum 5+ years of engineering experience related to automotive prognostics, diagnostics, embedded controls, or data analytics.
Strong experience in Python, major machine learning frameworks, and SQL.
Experience with data visualization and analytics platforms (i.e. PowerBI, Databricks Apps, Azure Apps).
Exceptional analytical and problem-solving skills , with a track record of data-driven decision making.
Demonstrated ability to turn ambiguous problems into clear requirements , value proposition, models, and technical solutions.
Strong communication and collaboration skills , with experience working across cross-functional teams.

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Senior Software Engineer – Low Voltage Prognostics

Key skills