Top Tech Jobs & Startup Jobs

Lead the design and advancement of AI platform infrastructure, focusing on distributed training, efficiency, and optimization of ML models. Collaborate with teams and guide architectural decisions.

Develop and implement trajectory optimization, vehicle dynamics, and closed-loop control software for GM's Super Cruise. Translate algorithms into production-quality C++/Python code, test and validate control and planning systems, collaborate across perception, localization, safety, and simulation teams, and improve reliability through tooling, CI, and validation.

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.

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 Senior Compiler Engineer will develop a model compilation toolchain for deploying optimized machine learning models in autonomous vehicles, focusing on performance engineering and collaboration with cross-functional teams.

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 and evaluate ML and perception models for future sensing and autonomous driving. Work on detection, tracking, classification, sensor fusion, training pipelines, validation, robustness metrics, and integrate models into onboard systems while collaborating with cross-functional teams.

Lead design and operation of enterprise-scale CI/CD build, test, and release pipelines for embedded software. Drive standards, automation, test integration across virtual and physical environments, monitor pipeline performance, resolve complex delivery issues, evaluate new tools, and improve developer productivity and software quality.

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.

Lead end-to-end ML and perception efforts for future sensing in autonomous vehicles: design sensor architectures, multi-modal fusion, model development, metrics, simulation-driven evaluation, system integration, and production readiness while mentoring engineers and building scalable data and training infrastructure.