General Motors
General Motors designs, manufactures, and sells cars, trucks, and electric vehicles for consumers and commercial fleets under brands including Chevrolet, GMC, Cadillac, and Buick. A public company on the NYSE headquartered in Detroit and founded in 1908, it operates globally and is developing EVs on its Ultium battery platform. Revenue comes from vehicle and parts sales, connected services such as OnStar, and financing through GM Financial.
Open Positions at General Motors
128 open positions
Lead offensive product security efforts across embedded vehicle software, mobile experiences, and backend services at General Motors. You will conduct penetration testing and security research, validate vulnerabilities, and help engineering teams improve product security.
Senior individual contributor leading hands-on product cybersecurity efforts across GM’s embedded vehicle software, mobile experiences, and software services. The role builds secure engineering capabilities, partners closely with product teams, and provides technical leadership without formal people management.
Build and operate scalable MLOps platforms supporting analytical and generative AI models across their full lifecycle. This hands-on role combines machine learning, data, and cloud engineering with a focus on automation, governance, and production readiness.
Senior full-stack engineer building manufacturing intelligence applications that connect plant-floor data with enterprise workflows, dashboards, and analytics. The role spans React/TypeScript frontend development, Python/FastAPI backend services, PostgreSQL data systems, and cloud/edge deployment.
Senior Software Engineer focused on Linux kernel, device-driver development, and low-level bring-up for next-generation automotive computing platforms. The role spans embedded systems integration, camera and multimedia subsystems, diagnostics, hardware validation, and production support.
Senior Software Engineer responsible for building and operating large-scale data platforms that support autonomous-vehicle model training, mining, labeling, and replay. The role combines distributed-systems development, operational ownership, and technical leadership across high-volume data services.
Build and scale AI- and LLM-powered tools that eliminate high-friction work across General Motors. This hands-on Principal Engineer role combines software engineering, AI application development, product thinking, and technical leadership to deliver measurable productivity gains.
Join GM’s Mapping team as a 2027 summer AI/ML engineering intern, developing machine-learning models, algorithms, and scalable data workflows for autonomous driving and advanced driver-assistance systems. The role combines vehicle-data analysis, geospatial analytics, cloud computing, and software deployment.
The Senior Machine Learning Operations Engineer will build and operate enterprise-scale MLOps and LLMOps capabilities across the full AI/ML lifecycle. This hands-on role combines ML engineering, cloud deployment, automation, governance, and production reliability in a flexible hybrid environment.
Test Engineering, Data Engineering - Systems QA validates connected-vehicle data and control-plane systems from embedded vehicle components through cloud platforms. The role builds automated, hardware-in-the-loop, integration, performance, and data-integrity testing for high-scale vehicle telemetry systems.
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