Top Tech Jobs & Startup Jobs

Lead and coordinate software performance evaluation activities for AV autonomy by planning resources, managing execution, tracking metrics, resolving dependencies, partnering with software and performance teams, communicating with engineering and executives, defining organizational objectives, and proactively identifying and reporting risks and issues.

Lead and manage a new ML Acceleration team, driving strategy and development for faster ML model training and optimizing performance.

This role leads the ML Acceleration team, focusing on enhancing ML model training efficiency and team management, while driving technical strategy and collaboration.

Lead and grow an AI Data Application team to build web services and platforms for metadata storage, dataset generation, and data search. Define technical vision, drive AI adoption in frontend UX, design APIs and query federation, collaborate with ML researchers and data teams, and mentor engineers to accelerate ML pipeline development.

Build and scale ML development infrastructure and Agentic AI tooling. Optimize distributed training (PyTorch/DDP), improve GPU utilization, design multi-cloud Kubernetes environments, and collaborate with ML researchers and engineers to streamline the ML lifecycle.

The Staff Motion Planning Engineer will research and develop algorithms for motion planning in autonomous vehicles, building scalable software and interfacing with various components of the system.

Develop and optimize machine learning models for autonomous vehicles, focusing on ML model deployment and performance across various compute platforms.

The Director of Commercial Operations oversees fleet performance and operational efficiency, leading multi-market operations, incident management, and innovative technology implementation, while ensuring compliance and stakeholder engagement.

Lead development of motion planning and prediction ML models for Level 4 autonomous vehicles. Design and productionize behavior models using deep learning, generative AI, and reinforcement learning. Deploy solutions to vehicle fleets, collaborate with perception, simulation, data platform and integration teams, and report progress to leadership.

Lead and build an ML Acceleration team to define strategy and implement scalable solutions to speed ML training. Hands-on role combining technical design (distributed training, hardware and model optimization) with people management, cross-functional collaboration, impact measurement, and continuous performance improvements for production autonomous vehicle ML systems.