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The Robotics Software Integration and Release Engineer will manage software releases, maintain build pipelines, and ensure repository health while collaborating across teams to enhance delivery processes.

As a Forward Deployed Engineer, you'll deploy and integrate autonomous systems, ensuring performance in the field and improving reliability through customer feedback and collaboration.

Design and implement state estimation and localization algorithms for legged robots, integrating various sensors and optimizing for real-world performance.

As an ML Engineer, you will build and deploy machine learning models for autonomous robots, collaborating with ML scientists and engineers to enhance AI capabilities.

The Field Application Engineer supports AI systems in robotics, requiring collaboration onsite and involves nationwide travel. Role focuses on implementing AI solutions for complex challenges.

This role involves defining brand strategy, driving demand generation, leading marketing campaigns, and building a marketing team to support B2B sales in robotics.

Design and deploy scalable, interpretable world models and decision-making systems for robots, ensuring real-time performance and safety in dynamic environments.

Develop and test humanoid manipulation strategies, collaborate on robotics projects, and ensure successful deployment of robotic systems, utilizing software development skills in C++ and Python.

Design and develop scalable full-stack applications using various technologies, collaborate with teams, and optimize performance in robotics AI systems.

As an Embedded Compute Engineer, design, integrate, and optimize computing systems for robotics, focusing on performance, reliability, and scalability in field environments.