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As a Staff Backend Software Engineer, you will lead the design and development of high-performance backend services for GM Commercial Services, focusing on system architecture and APIs. You will drive innovation, mentor junior engineers, and collaborate with cross-functional teams to enhance product solutions and solve complex engineering challenges.

As a Senior Software Developer specializing in Infotainment Simulation, you will create high-fidelity automotive software simulations, focusing on controller virtualization and integration into wider CI/CD processes. Responsibilities include defining and analyzing user stories, developing simulation platforms, and collaborating across teams to deliver products. You will also be responsible for troubleshooting integration issues and maintaining technical documentation.

The Senior Web Software Engineer will lead the development of backend services for GM Commercial Services' software solutions, collaborating with product teams to implement responsive functionality using React, ensuring usability for diverse users, mentoring junior engineers, and participating in technical discussions to enhance engineering standards.

The Performance Engineer will develop and implement analysis techniques to evaluate competitor performance, using data from telemetry, timing, and scoring. Responsibilities include creating competitor analysis methods, collaborating with various GM Motorsports groups, and developing software for production operations.

The Staff Full Stack Software Engineer will lead the development of web applications and backend services for GM Commercial Services. Responsibilities include providing technical leadership, improving engineering practices, delivering impactful solutions, mentoring engineers, and collaborating with various stakeholders to innovate software solutions.

The Principal Software Engineer for the AI Platform will design, develop, and maintain the AI/ML infrastructure. Responsibilities include enhancing platform capabilities for training ML models, resource management in multi-GPU environments, and collaborating with cross-functional teams to integrate new features.

The Principal Software Engineer will design, develop, and maintain the AI/ML platform infrastructure while collaborating with data scientists and engineers. Key responsibilities include enhancing the scalability of model training, managing resource utilization, and developing tools for model versioning and experiment tracking.