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As a Principal Machine Learning Engineer, you'll drive research and development initiatives for autonomous vehicles, mentor engineers, influence team direction, and prototype solutions for complex problems within the perception and prediction domain.

In this role, you'll lead a team of engineers to build and maintain large-scale data processing pipelines for autonomous vehicle data. You'll mentor the team, manage project timelines, and implement self-service data interfaces while writing code to process large volumes of data.

The Senior Technical Program Manager will drive integrated software programs focusing on infrastructure-related activities, collaborate with engineering teams, manage cross-functional projects, identify program risks, and enhance organizational effectiveness. The role involves coaching junior team members and ensuring alignment with the company's technical roadmap while communicating progress and challenges effectively.

The Principal Engineer will lead the ML training platform team, focusing on designing and maintaining scalable ML data processing and model training solutions. They will manage technical risks, ensure timely execution of milestones, and foster a high-performing team in a fast-paced environment.

The Senior Machine Learning Engineer will develop motion planning systems using machine learning and optimization methods, build and deploy neural networks, design robust software algorithms, mentor junior team members, and interface with components needed for autonomous vehicle navigation.

The Senior Engineer will lead AUTOSAR development workflows, offer technical leadership as an AUTOSAR Subject Matter Expert, and mentor other engineers. Responsibilities include component integration, debugging on target hardware, and collaborating with software and system teams for the next generation vehicle platform.

Develop and lead sensor simulation efforts for autonomous vehicle systems, including the calibration of simulations to real sensors and enabling deep learning. Responsible for creating and maintaining codebases for simulation and visualization, while leveraging data science to enhance system performance.