Senior Prognostics (Data) Engineer

Location: Hybrid in Milford or Warren, Michigan; expected to report to the specified location at least 3 times per week. The role may be eligible for relocation benefits.

Company

hirify.global develops vehicles and mobility technologies focused on safety, emissions reduction, and reliability.

What you will do

• Design, develop, validate, and deploy prognostic algorithms for low-voltage components, lithium-ion batteries, and parasitic drain detection.
• Model low-voltage system behavior and failure modes while monitoring degradation throughout vehicle life.
• Pilot prognostic features in development and test fleets and support production rollout.
• Integrate prognostic outputs with diagnostics, vehicle health management, service tools, and customer-facing notifications.
• Analyze field data to evaluate alert effectiveness and tune thresholds and calibrations.
• Apply statistical analysis, anomaly detection, clustering, and signal processing to vehicle telemetry data while aligning strategies with system safety and regulatory requirements.

Requirements

• Bachelor’s degree in Engineering or Computer Science.
• At least 5 years of experience in automotive prognostics, diagnostics, embedded controls, or data analytics.
• Strong experience with Python, major machine learning frameworks, and SQL.
• Experience with data visualization and analytics platforms such as Power BI, Databricks Apps, or Azure Apps.
• Strong analytical, problem-solving, communication, and cross-functional collaboration skills.
• Ability to turn ambiguous problems into requirements, value propositions, models, and technical solutions.

Nice to have

• Master’s degree or higher in Engineering or Computer Science.
• Experience with low-voltage systems, energy storage, power conversion, load management, degradation modeling, or long-term health monitoring.
• Knowledge of vehicle manufacturing, service, warranty processes, and functional safety standards including ISO 26262 and ASIL.
• Experience with advanced analytics, LLMs, AI-enabled tooling, PySpark, or MATLAB.

Culture & Benefits

• Cross-functional collaboration with systems, diagnostics, software, calibration, quality, service, safety, and aftersales teams.
• Work focused on improving vehicle reliability, reducing walk-home events, and limiting unnecessary warranty expense.
• Benefits and total rewards designed to support employee well-being at work and at home.
• Inclusive workplace with equal employment opportunities and accommodations available during the application process.

Hiring process

• Applicants may be required to complete role-related assessments and pre-employment screening where applicable.