The Research Engineer will develop AI algorithms for autonomous systems, collaborating with teams on end-to-end solutions and data-driven models.

As a Research Engineer, you conduct pioneering research in autonomous systems and develop models using large-scale data and advanced simulators, collaborating with scientists and contributing to high-quality publications.

As a Research Engineer, you will conduct research in robotics and AI, work with hardware and software for robotic systems, and collaborate on research publications.

Conduct research on autonomous systems, collaborate with scientists on publications, and improve robotic models using large-scale data.

Design and build AI infrastructure for robust dataset generation and model evaluation, collaborating with research and autonomy teams.

Design, build, and maintain Android applications for vehicle intelligence. Collaborate with teams to deliver innovative features and enhance user experiences.

Design and implement a data-oriented frontend UI/UX platform for Defense applications, integrating closely with team workflows and existing systems.

As a Scenario Engineer, you will create and manage simulation test scenarios, collaborate with cross-functional teams, and analyze AV performance data.

Develops and implements software solutions in the autonomy space, working across the product stack and mentoring engineers. Designs new features and collaborates with domain experts.

Develop ML-first behavior modules for predicting future motions of road users. Collaborate with perception and planning teams to enhance autonomous systems.

The role involves owning and maintaining HD maps infrastructure, defining storage formats, and collaborating with engineers and customers to enhance map-related features.

Conduct research on AI and robotics, focusing on reinforcement learning, and collaborate on publications and algorithm deployment.

The Senior Software Engineer will scale open-source data infrastructure, handle data lifecycle tasks, and support internal and external products.

This role involves designing and building map creation tools for autonomous vehicles, focusing on infrastructure for MD and HD maps, ensuring freshness and accuracy, and collaborating with engineering teams.

Develop and maintain embedded software for vehicle platforms, integrating vendor components and ensuring communication protocols are optimized.

Design and implement distributed cloud GPU training for ML, build end-to-end pipelines, collaborate on data problems, and uphold ML best practices.

As a Research Scientist, you'll conduct research on AI and robotics, collaborating with teams to develop simulation algorithms for autonomous systems.

The ML Perception Software Engineer will develop perception modules for autonomous vehicles, focusing on machine learning and computer vision to enhance navigation capabilities.

Lead software engineer focusing on optimizing ML models for embedded systems, improving performance and efficiency in production environments.

Conduct research on autonomy and simulation, publish findings, collaborate with teams to deploy algorithms. Focus on scalable autonomy using large-scale data.