The Engineer will enhance developer productivity by creating and maintaining tools for the software development lifecycle, collaborating with teams to improve workflows, and ensuring efficient development processes.

This role involves deploying and optimizing machine learning models for autonomous vehicle motion planning, ensuring performance and reliability in production settings.

Lead the technical vision and architecture for machine learning and data systems, overseeing scalable infrastructure and collaboration across teams.

Lead a team to develop large-scale data analysis frameworks and ML models for autonomous vehicles, driving project execution and innovation.

Design and develop onboard and offboard software pipelines for localization and mapping in autonomous driving systems, ensuring real-time performance and collaboration with various teams.

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.

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

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.

As a Senior Engineer for Developer Platform, you will optimize development lifecycle tools, enhance automation, and collaborate with global engineering teams to improve workflows.

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 architectural vision and development of scalable infrastructure for self-driving technology, mentoring engineers and overseeing complex projects.

As a Senior Machine Learning Engineer on the Perception Team, you will define technology direction, architect solutions for autonomous vehicles, collaborate with team members, and mentor junior engineers, contributing to high-stakes projects in autonomous driving.

Design and build ML infrastructure components for autonomous vehicles, ensuring scalability and robustness for high-volume data processing and model training.

The role involves deploying, optimizing, and maintaining ML-driven motion planning and control algorithms for autonomous driving, collaborating across teams to ensure reliability under performance and safety constraints.

The Senior Software Engineer will own large-scale data mining workflows, improve ML products through high-quality datasets, and analyze model performance across driving scenarios.

You will lead and mentor engineers while driving the development of solutions for autonomous vehicles using Machine Learning and software engineering principles.

Develop algorithms for autonomous driving and create software for safe and intuitive motion planning. Collaborate with perception and control components, and mentor team members.

The role involves developing ML algorithms for autonomous driving, including training models, evaluating performance, and improving behavioral models.

The engineer will train, evaluate, and deploy ML models for understanding driving environments, focusing on motion prediction and planning for autonomous vehicles.

Responsible for training and deploying ML models for scene understanding, behavior prediction, and planning in autonomous vehicles. Collaborate on designing and analyzing experiments, maintaining evaluation code, and improving model performance.