Design and optimize software systems for deploying large deep learning models in autonomous vehicles, focusing on performance and efficiency.

This role involves developing deep learning algorithms for autonomous driving, optimizing neural networks, and leveraging multimodal datasets for reinforcement learning and decision-making.

Design and implement deep learning algorithms for autonomous driving, optimizing neural networks for real-time performance, and integrating multimodal data.

The Data Infrastructure Engineer will analyze large datasets for edge cases in autonomous driving, collaborating with Machine Learning Engineers to improve safety and comfort.

Develop and optimize machine learning compilers for autonomous driving models on general purpose GPUs, enhancing performance and efficiency.

Design, train, and deploy large deep learning models utilizing data from a fleet of vehicles to enhance autonomous driving solutions.

Develop and maintain machine learning models for robotics applications, collaborate across teams, and contribute to innovative solutions in AI and mobility.

The role involves developing a software stack for GPGPU architecture, focusing on CUDA compatibility, performance modeling, and cross-functional collaboration in AI frameworks. Requires extensive experience in GPU software design.

The Staff Machine Learning Engineer will research, design, and implement advanced deep learning algorithms for autonomous driving systems, ensuring robust, real-time performance and model optimization.

Design and develop large-scale multi-modal models for autonomous driving systems, focusing on vision, language, and control integration. Collaborate with researchers and engineers for model deployment and optimization.

Design and implement large-scale multi-modal architectures for autonomous driving. Research and develop training strategies and model optimizations while collaborating across teams.

Seeking a Data Scientist to leverage data analysis and machine learning for autonomous driving challenges, utilizing large datasets, collaborating with cross-functional teams, and optimizing algorithms.

Develop and implement advanced machine learning models for autonomous driving, focusing on deep learning, perception, and real-time performance optimization.

Design and implement software modules for autonomous systems, optimize performance, and provide architectural guidance for other teams.