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

Join Avride's robot simulation team to develop a hybrid simulation framework, integrating real-world data and synthetic environments for autonomous driving tests.

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

The role involves designing and developing software for capturing and transmitting vehicle logs, optimizing data storage and processing in the cloud, and supporting the data platform architecture.

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 Site Infrastructure Engineer will build and maintain server and network infrastructure for autonomous vehicle operations, ensuring high performance and reliability.

As a Safety Performance Analyst, you'll review and classify safety-critical events from autonomous vehicle data, enhance safety frameworks, and communicate findings to teams. Your role includes using Python and SQL for data analysis and reporting.

The IT Operations Specialist supports internal IT processes, onboarding, offboarding, equipment provisioning, and workplace IT needs while ensuring operational workflows are organized and efficient.