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Responsible for designing and implementing reinforcement learning algorithms, conducting experiments, and optimizing models for robotic applications, collaborating with multiple teams.

Develop and optimize AI training pipelines, collaborate with researchers, ensure reliability and performance of training systems, and integrate advanced algorithms.

Design and optimize deep learning models for robotic manipulation, ensuring robust and efficient algorithms for real-world applications.

The Robotics Application Engineer will design, develop, and deploy software for robotic systems, integrating solutions into production environments while collaborating with cross-functional teams to enhance performance.

The Senior Robot Infrastructure Engineer will develop edge-to-cloud systems for robot fleet management, focusing on software implementation, OTA updates, and data pipeline architecture.

As a Robotics Engineer, you will design and implement software and hardware adaptations for customer deployments, manage testing practices, and collaborate with robotics teams to enhance product quality.