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GE

Senior Software Engineer – Battery Systems Controls

General Motors
United Statesfull_timeVerifiedPosted 4 Feb 2026

About the role

Job Description

Work Arrangement:

Remote: This role is based remotely but if you live within a 50-mile radius of [Austin, Detroit, Warren, Milford or Mountain View], you are expected to report to that location three times a week, at minimum.

The Role:

As a Senior Applied AI Software Engineer at GM, you will be a part of the Vehicle Mechatronic Embedded Controls (VMEC) team, working in the Battery and High Voltage Agile Release Train (ART). Your focus will be on developing and delivering high-quality software and AI solutions for embedded control systems, specifically for Battery Systems Controls within GM’s EV portfolio. Your work will contribute directly to GM's vision of a world with ZERO Crashes, ZERO Emissions, and ZERO Congestion.

What You'll Do:

  • Deliver high-quality software and product-ready AI solutions for embedded controls systems in the electrification space, specifically for Battery Systems Controls.

  • Ensure compliance with safety requirements, government regulations, and GM-internal policies (e.g., MISRA guidelines).

  • Adhere to good software design principles, utilizing design patterns and understanding supervisory controls architecture and hardware abstractions for effective software solutions.

  • Design, develop, and implement Physics and Controls requirements to continuously improve software for mechatronic controls, diagnostics strategies, and controller communication.

  • Leverage AI to drive productivity and deliver cutting-edge solutions.

  • Maintain an understanding of Ethernet standards and its application and automotive communication protocols like Ethernet, CAN, LIN, ARXML.

  • Test & demonstrate software functionality & readiness, ensuring hardware agnostic solutions across all GM owned software.

  • Document requirements for design solutions and link them to test cases that can demonstrate software functionality ensuring traceability.

  • Utilize automated test tools in build environments, test benches, and vehicles to verify functionality at the Controller, System, and Vehicle level.

  • Lead and provide guidance to your Agile Scrum team members, fostering a collaborative and inclusive environment.

  • Coordinate with various departments outside your organization such as Systems & Safety, Validation, Electrical Architecture, Software Defined Vehicle (SDV), Calibration, and Vehicle Performance.

  • Embrace BDD/TDD software development methodologies to ensure Software Built In Quality, promoting early bug detection, and facilitating collaboration between developers, testers, and non-technical stakeholders.

  • Familiarize and work efficiently with Software Defined Vehicle (SDV) and Service Oriented Architecture (SOA) principles, leveraging them to create optimized and modular software solutions.

  • Utilize CI/CD pipelines for efficient development, testing, and deployment of software solutions, with a solid understanding of DevOps principles.

Your Skills & Abilities (Required Qualifications):

  • BS in Engineering – Electrical, Mechanical, Computer or BS in Computer Science.

  • 5+ years of experience with proven technical and professional skills in job-related area – embedded controls software.

  • Proficient in C, Python programming.

  • Expertise in troubleshooting field issues.

  • Familiar with AI solutions/applications.

  • High level of integrity, ability to deal with ambiguity, take initiative/self-directed.

  • Consistent demonstration of innovative thinking that is customer-centric.

What Will Give You A Competitive Edge (Preferred Qualifications):

  • MS in Engineering, Electrical, Mechanical, Computer or Computer Science.

  • 8+ years of experience with proven technical and professional skills in job-related area – embedded controls software.

  • Expert in C, Python, MATLAB Simulink, Auto Code Generation, C++.

  • Experience with JIRA, GIT, and Scaled Agile Framework.

  • Experience with controller communication, diagnostics, and complex device drivers.

  • Strong skills in data analytics, processing large datasets to enable AI/ML-ready outputs.

  • Working experience in AUTOSAR standards and methodology.

  • Familiar with MISRA guidelines.

  • Knowledge and experience with Ethernet, CAN, LIN, ARXML, or Ethernet communications protocol.

  • Proficient with software architectures.

Benefits:

GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental,

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Company

General Motors

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