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Senior Embedded Software Engineer responsible for writing software for vehicle-side functionality in C/C++, participating in discussions & reviews, creating software design artifacts, and using cross-compilation techniques. Requires expertise in Embedded vehicle systems with C/C++, Linux/QNX/RTOS knowledge.

Opportunity to join a diverse team leading analytics initiatives. Responsibilities include strategic planning, project-driven problem-solving, and developing industry-leading data solutions. Required qualifications include business acumen and technical expertise in analytics tools and languages. Additional qualifications include 10+ years of professional experience and flexible analytic approach.

The Staff Software Engineer will lead the design and management of a cloud-based platform at General Motors, collaborating with teams to implement scalable, resilient solutions. Responsibilities include overseeing corporate software strategy, managing system performance, and ensuring high availability for cloud services, alongside automating operational tasks and providing technical leadership.

As a Staff Software Engineer on the Cloud Platform Team, you will design and manage a large-scale cloud platform, leading software strategy and technical development for resilient solutions. Responsibilities include system performance monitoring, automation of tasks, incident support, and integration testing while staying updated with emerging technologies.

As a Staff Software Engineer in the Cloud Platform Team, you will lead the design and management of a cloud-based shared platform. This role involves defining software strategy, providing technical leadership, automating tasks for efficiency, monitoring system performance, and ensuring timely resolution of incidents, all while staying updated on new technologies.

The Vehicle Software Integration Engineer is responsible for integrating and testing vehicle electronic systems, focusing on software functionality, diagnostics, and data processing. The role includes leading design integration testing, troubleshooting software issues, collaborating with engineering teams, and driving quality improvements through automation.

The AI/ML Scientist Manager will lead the deployment of AI solutions, ensuring best practices in model operationalization. Responsibilities include framework development, collaborative implementation with Data Scientists, team leadership of ML engineers, managing ML operations with ML Flow, and overseeing CI/CD pipelines.