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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.

Coordinate candidate interview logistics, manage communications, support HR admin tasks, and ensure seamless hiring experiences with attention to detail.

The System Identification & Controls Engineer will characterize and validate robot dynamics, design tests, apply controls, and automate identification processes across robot fleets.

The Robotics Engineer will develop software solutions for robotic manipulation, design algorithms, and collaborate with the ML team on real robot deployments.

The role involves enhancing software reliability for robotic systems, leading discussions, and collaborating with machine learning and deployment teams to ensure integration of AI models.

The Computer Vision AI & ML Engineer will develop and optimize deep learning models for robotics perception systems, collaborating across teams to integrate models and evaluate performance.

The Software Engineer will optimize AI inference processes for robotic systems, ensuring high performance under varying constraints and building infrastructure for model integration.

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.