GM uses AI and machine learning to test and refine vehicle software, ensuring safety and reliability through automated testing, real-world validation, and continuous improvement. GM uses AI and machine learning to test and refine vehicle software, ensuring safety and reliability through automated testing, real-world validation, and continuous improvement.

How GM Leverages AI to Enhance Vehicle Software and Boost Safety

GM uses AI and machine learning to test and refine vehicle software, ensuring safety and reliability through automated testing, real-world validation, and continuous improvement.

Modern vehicles—whether gas-powered, hybrid, or electric—are driven by software as much as by their engines. Software governs everything from driver safety and navigation to entertainment and vehicle operations.

It powers luxury features, safety systems, and even fundamental functions like acceleration, steering, and braking. With over 100 million lines of code in a typical new vehicle, General Motors is committed to delivering exceptional quality in every line of software.

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GM uses AI and machine learning to test and refine vehicle software, ensuring safety and reliability through automated testing, real-world validation, and continuous improvement.
How GM Leverages AI to Enhance Vehicle Software and Boost Safety.

Safety and Precision: GM’s Approach to Software Development

Unlike consumer electronics, the stakes for vehicle software are far higher, and GM refuses to treat drivers as beta testers. To ensure reliability, GM’s quality labs rigorously test software long before it reaches customers. By leveraging expertise from leading tech companies, GM engineers tackle some of the most complex challenges in automotive software.

Artificial intelligence and machine learning are central to GM’s software testing processes. AI-powered testing runs continuously, simulating real-world use to detect bugs early in development. For example, dashboard touchscreen software undergoes millions of simulated button presses and screen taps to refine its performance before a human tester interacts with it. These automated processes enable faster and more accurate debugging, significantly reducing development time.

Innovative Testing Methods

  • Simulated and Automated Testing:
    Virtual testing simulates years of everyday use in just hours. At GM’s software labs, more than 300 test benches in Michigan alone are dedicated to uncovering potential bugs in infotainment systems. This advanced testing allows engineers to identify and fix issues before code is installed in a vehicle.
  • Machine Learning-Driven Overnight Testing:
    Custom devices in test vehicles, developed by GM engineers, run machine learning-powered software tests while vehicles are parked. This allows for continuous improvement and ensures software stability at the time of release.
  • Real-World Validation:
    To complement virtual testing, GM employees test-drive vehicles equipped with the latest software across diverse U.S. terrains. Known as “four corners” drives, these tests ensure software readiness in real-world conditions drivers are likely to encounter.

A Commitment to Safety and Quality

For GM, high-quality software isn’t just about convenience—it’s a safety priority. By combining cutting-edge technologies with real-world validation, GM ensures innovation and reliability coexist in every vehicle.

Opportunities at GM

As GM continues to push the boundaries of AI, machine learning, and systems engineering, the company is seeking talented software engineers to join its mission. With facilities in Michigan, California, and Ontario, GM offers opportunities to work on groundbreaking projects that redefine the future of automotive software.

Explore how you can be part of GM’s journey to deliver safe, intelligent, and reliable vehicles for today and tomorrow.

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