General Motors

Senior Prognostics Engineer– Low Voltage

General Motors$100K — $130K *
Transportation
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Engineering or Computer Science.
  • 5+ years of engineering experience in 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 (e.g., PowerBI, Databricks Apps, Azure Apps).
  • Exceptional analytical and problem-solving skills, with data-driven decision making.
  • Ability to translate ambiguous problems into clear requirements and technical solutions.
  • Strong communication and collaboration skills in cross-functional teams.

Responsibilities

  • Design, develop, and deploy prognostic algorithms for low voltage components and parasitic drain detection.
  • Model low voltage system behavior and failure modes; monitor degradation trends over vehicle life.
  • Pilot and validate prognostic features in development and test fleets; support production rollout.
  • Partner with cross-functional teams to ensure actionable prognostics outputs.
  • Analyze field data to evaluate alert effectiveness and refine thresholds.
  • Collaborate with architecture and safety teams to meet safety goals and requirements.
  • Develop and strategize low voltage prognostics across different architectures and model years.

Benefits

  • Eligible for relocation benefits.
  • Hybrid work model, reporting to the office at least 3 times a week.
Full Job Description

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 Data 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 walkhome events and unnecessary warranty expense.

You’ll collaborate closely with systems, diagnostics, software, calibration, quality, and service teams to turn vehicle data into scalable, fieldproven 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 longterm health monitoring.
  • Understanding of vehicle manufacturing, service, and warranty processes—including how prognostic content flows into service tools and customerfacing messages.
  • Familiarity with functional safety (ISO 26262, ASIL) and their impact on system and software design.
  • Experience with advanced analytics techniques, LLMs, or AIenabled 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 General Motors

General Motors Company engages in the manufacture and sale of cars and trucks in the United States, China, Brazil, Germany, the United Kingdom, Canada, and Italy. It offers sedans, crossovers, sport utility vehicles, pick-up trucks, coupes, sports/convertibles and hybrid vehicles, hatchbacks/wagons, and vans, as well as mini cars in India. The company also provides parts and accessories, such as iPod and MP3 compatibility, mobility accessories, performance parts, AC parts and services, and merchandise. In addition, it offers vehicle safety, security, and information services. The company provides used vehicles. It offers its products through dealers and distributors. General Motors Company was formerly known as NGMCO, Inc. and changed its name to General Motors Company in July 2009. The company was incorporated in 2009 and is based in Detroit, Michigan. It operates manufacturing facilities in India, the United States, and Canada. General Motors Company operates as a subsidiary of the United States Department of The Treasury. General Motors led global vehicle sales for 77 consecutive years from 1931 through 2007, longer than any other automaker, and is currently among the world's largest automakers by vehicle unit sales. General Motors acts in most countries outside the USA via wholly-owned subsidiaries but operates in China through 10 joint ventures. GM's OnStar subsidiary provides vehicle safety, security, and information services. In 2009, General Motors shed several brands, closing Saturn, Pontiac, and Hummer, and emerged from a government-backed Chapter 11 reorganization. In 2010, GM made an initial public offering IPOs to date and returned to profitability later that year.

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Learn more about General Motors
Size
157,000 employees
Market Cap
$46.9 billion
Industry
Net Income
$6.4 billion
Founded
1908
5 Year Trend
-3.2%
Revenue
$122.4 billion
NASDAQ

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