As a Software Engineer, you'll automate performance data workflows, contribute to data products, and enable insights into the stability and performance of autonomous vehicles.

Develop multimodal large language models for autonomous vehicles, optimizing performance and safety through advanced machine learning techniques and real-world data validation.

As a Mapping Software Intern, you will design algorithms for machine perception, develop ML models, and collaborate with cross-functional teams on mapping initiatives.

As a Data Scientist Intern at Zoox, you'll analyze data related to autonomous vehicles, develop performance metrics, and contribute to data-driven decisions.

As a Senior/Staff Software Engineer, you will improve robotic driving behaviors through algorithm development, testing, and performance reviews while ensuring safety and innovation.

Lead the development of machine learning algorithms focusing on perception for autonomous driving, collaborating across teams and mentoring ML developers.

Develop machine learning algorithms for scene understanding in autonomous vehicles. Collaborate on data strategy and enhance models for safe navigation in complex urban environments.

The Software Engineer will develop algorithms and code related to AI, robotics, and sensing technologies, impacting key systems at Zoox.

Develop multimodal large language models for urban driving environments, implement ML solutions, and validate algorithms using real-world data.

The role involves developing and optimizing large language models for robotaxis, enhancing their understanding of urban environments, and integrating models into decision-making processes.

The role involves improving the data platform for Perception model training, developing APIs, and supporting cross-team integration while mentoring junior engineers.

Contribute to 3D occupancy and segmentation networks development, optimizing deep learning models for real-time inference using multi-modal data fusion.

Design and develop auto-labeling algorithms for autonomous driving, collaborating with ML engineers to enhance data quality and efficiency in model training.

The Machine Learning Engineer Intern at Zoox will work on perception systems, developing algorithms for autonomous driving, collaborating with teams, and leveraging advanced machine learning models and datasets.

Develop and enhance behavioral models for road users in autonomous vehicles, optimizing perception models to support safe driving decisions.

Design and implement real-time software systems for Collision Avoidance, leading projects and mentoring team members to ensure software robustness and quality.