Hybrid Low-Voltage Software Solutions Lead Engineer

General Motors LLC; Brighton Charter Township (MI); Hybrid; USD 115,000 - 150,000; Full time

Benefits offered by this job

Hybrid work model

Relocation benefits

Job summary

General Motors LLC is seeking a Software Solution Lead Engineer for Low Voltage Infrastructure. The role focuses on leading requirements, design, and testing across diverse vehicle architectures with a strong emphasis on embedded software for low voltage power management.

You will collaborate with controls, software, and hardware teams, drive SAFe planning events, and support the team with root-cause analyses and iterative requirement refinements.

Qualifications

• Bachelor's degree in Engineering is required.
• 5+ years in automotive embedded controls, requirements, architecture, or systems engineering.
• Strong analytical and problem-solving abilities with independent judgement.

Responsibilities

• Lead functional breakdown, requirements development, and failure analysis for low voltage power management subsystems.
• Create and maintain SSTS and BTS using BDD methodologies.
• Direct subsystem design with holistic solutions across vehicle architectures.
• Coordinate with systems engineers and hardware teams on interfaces and performance.

Skills

Embedded controls

Requirements development

Architecture development

Systems engineering

Cross-functional leadership

Technical communication

Hardware-software interfaces

Education

Bachelor's degree in Engineering

Master's degree in Engineering (preferred)

Tools

DOORs

DNG

Markdown

Jira

GIT

MATLAB/Simulink

Job description

General Motors LLC is seeking a Software Solution Lead Engineer for Low Voltage Infrastructure. The role focuses on leading requirements, design, and testing across diverse vehicle architectures with a strong emphasis on embedded software for low voltage power management.

You will collaborate with controls, software, and hardware teams, drive SAFe planning events, and support the team with root-cause analyses and iterative requirement refinements.