Senior Prognostics (Data) Engineer at General Motors in Warren, Michigan, United States of America | Milford, Michigan, United States of America focuses on The Team: The Low Voltage Infrastructure (LVI) team develops the systems and controls that generate, store, distribute, and. Our work highly impacts the customer experience and vehicle reliability.
- The Team: The Low Voltage Infrastructure (LVI) team develops the systems and
- What You'll Do (Responsibilities): Design, develop, and deploy prognostic algorithms for low
- Model low voltage system behavior and failure modes; monitor degradation trends over
- Pilot and validate prognostic features in development and test fleets, then support
- Partner with diagnostics, service engineering, vehicle health management, analytics, and aftersales to
- Our work highly impacts the customer experience and vehicle reliability
- Collaborate with architecture and safety teams to ensure prognostic strategies meet system
- Develop roadmaps and strategy for low voltage prognostics across architectures, programs, and
- Your Skills & Abilities (Required Qualifications): Bachelor's degree in Engineering or Computer
- Minimum 5+ years of engineering experience related to automotive prognostics, diagnostics, embedded
- Strong experience in Python, major machine learning frameworks, and SQL
- Python
- SQL
- Azure
AI-generated summary of what this role requires — see the full description below for the employer's original text.
Job Description
The Team:
The Low Voltage Infrastructure (LVI) team develops the systems and controls that generate, store, distribute, and manage low voltage power across our entire portfolio of vehicles. Our work highly impacts the customer experience and vehicle reliability.
The Role:
As a Senior Prognostics Engineer- Low Voltage within LVI, you’ll design, validate, and deploy production-ready prognostic algorithms that predict and prevent low voltage failures. Your work will detect parasitic drains, assess electrical system health, and enable timely service and customer interventions—reducing walk‑home events and unnecessary warranty expense.
You’ll collaborate closely with systems, diagnostics, software, calibration, quality, and service teams to turn vehicle data into scalable, field‑proven prognostic algorithms. This is an assignment where creativity, analytical thinking, deep customer insight, and exceptional collaboration are crucial and celebrated!
What You'll Do (Responsibilities):
- 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.
Your Skills & Abilities (Required Qualifications):
- 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.
What Will Give You A Competitive Edge (Preferred Qualifications):
- Master's degree (or higher) in Engineering or Computer Science.
- Experience developing prognostics for low voltage systems, energy storage, power conversion, or load management.
- Experience with degradation modeling and long‑term health monitoring.
- Understanding of vehicle manufacturing, service, and warranty processes—including how prognostic content flows into service tools and customer‑facing messages.
- Familiarity with functional safety (ISO 26262, ASIL) and their impact on system and software design.
- Experience with advanced analytics techniques, LLMs, or AI‑enabled tooling applied to vehicle health, prognostics, diagnostics, or service insights.
- Experience with PySpark.
- Experience with Matlab.
#LI-DH2




This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.

This job may be eligible for relocation benefits.

About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
Benefits Overview
From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
Non-Discrimination and Equal Employment Opportunities (U.S.)
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.
Accommodations
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.