Top Tech Jobs & Startup Jobs

Lead calibration and system test for Secure Vehicle Access features: create and execute validation plans, develop calibrations and test automation, collect and analyze data, author validation reports, support certification, root-cause analysis, and stakeholder communication.

Lead design and development of scalable, high-performance ML training infrastructure. Drive distributed training performance optimization, observability, and developer experience. Own cross-functional infrastructure initiatives, set technical direction and standards, and mentor engineers to deliver platform capabilities that support large-scale model training.

The Field Service Engineer (FSE) provides on-site automotive technical support, diagnosing vehicle issues and liaising with dealership personnel to prevent vehicle buybacks and warranty expenses.

Design, build, and maintain backend web services and APIs for GM's web products. Lead architecture, mentor engineers, implement microservices, automate testing and CI/CD, optimize performance, and work with cloud, edge/CDN, and CMS systems.

Lead full-stack web development on GCP to build AI-powered search and discovery experiences. Design and implement web apps, services, and indexing pipelines, optimize performance, automate CI/CD and testing, mentor engineers, collaborate with product and ML partners, and productionize search/recommendation capabilities.

Lead end-to-end Warehouse Management System (WMS) implementations across GM facilities: capture requirements, design/configure solutions, integrate automation (AMRs, ASRS), manage UAT, deploy, train users, analyze WMS/GMOS data, and drive continuous improvement and material handling optimization.

Lead end-to-end software release and validation for suspension control modules, act as GM-supplier single point of contact, manage PRTS investigations, coordinate supplier and vehicle testing, ensure safety and compliance, and release software into development and production.

Lead technical vision and architecture for ML-driven trajectory generation in autonomous vehicles. Build and deploy scalable training pipelines, integrate models into real-time safety-critical onboard systems, mentor senior engineers, drive cross-functional initiatives, and move solutions from research to production using simulation and large-scale datasets.

Develop, tune, and validate vehicle control calibrations for low-voltage setpoint control, battery saver modes, and load management across simulation, lab, dyno, and vehicle tests. Analyze large datasets, troubleshoot hardware/software issues, create and maintain calibration procedures, coordinate with teams, support vehicle and customer issue resolution, and participate in test activities.

You will own the compilation stack transforming AI models into optimized inference for autonomous driving. This includes developing tools and techniques for model export and optimizing performance while ensuring safety and reliability.