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Develop and maintain the software framework for autonomous vehicle autopilot systems, focusing on performance, safety, and reliability, while implementing automated testing processes.

The Accountant will manage accounting operations, including journal entries and accounts payable, and support month-end close processes.

Develops motion planning algorithms, collaborates with engineering teams, and optimizes performance for autonomous vehicle decision-making.

Support high-volume, project-based onsite hiring by greeting candidates, managing interview schedules and paperwork, tracking assessments and uploading documentation, coordinating handoffs with hiring managers, and maintaining a professional candidate experience.

Lead development of Avride's control system by architecting and shipping Model Predictive Control (MPC) solutions in modern C++, identifying vehicle dynamics parameters from real-world data, profiling for real-time performance, and providing technical leadership, code review, and mentorship to a small controls team while aligning with Planning and Hardware.

As a Senior Frontend Engineer, you will develop low-latency interfaces for autnomous vehicle control, optimizing for performance and integrating real-time data.

Develop motion planning algorithms for autonomous robots, ensuring safety, smoothness, and reliability in navigation. Collaborate with various teams for improvement and evaluation.

As a Machine Learning Engineer, you will design, train, and deploy ML models for motion planning, develop data pipelines, and integrate models for real-time use in autonomous vehicles.

The role involves designing and implementing Avride's core framework for self-driving technology, focusing on performance, reliability, and collaboration with various teams for system improvements.

The ML Engineer will develop motion planning models using ML techniques, simulate interactions for outdoor delivery robots, and collaborate across teams for integration.