Lead and manage a team developing ML models for self-driving vehicles, define motion planning projects, and collaborate with cross-functional teams to enhance performance.

Oversees safety processes for autonomous vehicles, ensuring compliance with safety standards, conducting risk assessments, and integrating safety into system design.

The role involves developing perception components for self-driving vehicles, analyzing system performance, and collaborating with cross-functional teams to enhance technology.

You will work on perception technologies for autonomous vehicles, optimizing algorithms and collaborating with ML engineers to deploy models effectively.

The Senior Strategic Program Manager will coordinate strategic projects, manage stakeholder communications, support the Chief of Staff, and drive efficient processes across teams.

Lead the development of advanced perception algorithms for self-driving vehicles. Collaborate and mentor engineers, optimize algorithms, and implement sensor fusion for robust perception systems.

The Staff Systems Safety Engineer will oversee safety processes for autonomous vehicle systems, ensuring compliance with standards, conducting hazard analyses, and collaborating with engineering teams to enhance system safety.

Supervise AV Testing Operators by scheduling shifts, assigning vehicles, ensuring safety and testing protocol adherence, reviewing drive logs and Dev Tickets, coaching staff, conducting performance reviews, coordinating with Engineering/L&D/Safety, and supporting daily AV test operations and troubleshooting.

The intern will develop and evaluate models for autonomous driving using multi-modal sensor data and computer vision techniques, supporting planning and decision-making processes.

As a Senior PLM/PDM Engineer, you will manage CAD tools and PLM systems, resolve issues, maintain documentation, and collaborate with teams on engineering processes.

Interns will focus on generating reliable actions for systems, involving action modeling, motion planning, control algorithms, and machine learning, while running simulations and evaluating performance.

Lead development of perception solutions for autonomous vehicles, collaborating across teams to optimize and validate performance while addressing complex technical challenges.

Lead development of perception capabilities for autonomous vehicles, analyze performance of perception subsystems, and collaborate on innovative solutions in computer vision and deep learning.

Lead the development of perception capabilities for self-driving vehicles, focusing on computer vision and deep learning to enhance product impact and safety evaluation.

Lead the development of advanced perception algorithms for autonomous vehicles, optimize real-time performance, mentor junior engineers, and integrate systems.

Deliver performance analysis within autonomous driving technology, ensuring system quality, collaborating across teams, driving diagnostic processes, and mentoring junior engineers.

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.

The Staff Motion Planning Engineer will lead the research and development of algorithms for motion planning in autonomous vehicles, ensuring robust software integration and mentoring team members.

This role involves discovering and developing stories, creating diverse content formats, writing engaging materials, and technical translation for a driverless technology company.

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