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The Principal Software Engineer will lead the design and implementation of robust data systems for GM's AI platform, focusing on efficient data ingestion, access, and processing. Responsibilities include building scalable data pipelines, guiding junior engineers, and ensuring system performance across cloud and on-premises environments.

The Principal Software Engineer will enhance and scale the infrastructure for Machine Learning workloads, optimize Kubernetes and Kubeflow deployments, streamline training infrastructure, and collaborate with cross-functional teams to resolve infrastructure issues.

Work on developing optimized and high-fidelity vehicle simulations in a cloud computing environment. Collaborate with multiple teams to integrate systems into CI/CD toolchain and data analytics pipeline. Responsibilities include defining user-stories, creating simulation platforms, and optimizing development processes.