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Design, develop, and optimize software components for an AI-driven humanoid robot, focusing on C/C++ and Python for production-grade systems.

Operate and maintain multi-node GPU/HPC clusters (SLURM); manage NVIDIA GPU software stack and high-speed interconnects; own parallel and network storage; administer enterprise networking, identity/directory services and SaaS SSO; provision and manage mixed endpoints (Linux, Windows, macOS); run server-room operations and support development teams as the IT site technical owner.

The AI Researcher will design, train, and deploy advanced neural network models for robotics applications, collaborating with cross-functional teams to integrate models into physical robots, focusing on machine learning lifecycle management.

Build and own data pipelines and infrastructure that convert simulation and real-robot recordings into versioned, training-ready datasets for humanoid robotics, handling extraction, transformation, storage formats, curation, and traceability.

As an AI Engineer, you will develop scalable deep learning systems, manage AI lifecycle processes, and optimize models for humanoid robotics.

The Senior Backend Engineer will architect and develop software for robotic operations, focusing on APIs, control systems, and cross-functional integration with AI and hardware teams.