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The MLOps Engineer will design and maintain infrastructure for machine learning systems in robotics, focusing on deployment, monitoring, and optimization of ML workflows.

As a DevOps Engineer, you will improve CI/CD pipelines, manage containerized infrastructure, ensure deployment reliability, and troubleshoot production issues.

The Software Engineer focuses on building and maintaining development environments and tooling infrastructure to support engineering teams, improving developer velocity and code quality across projects.

The role involves building detailed 3D environments for robotics and construction, ensuring high standards for model quality and performance, while refining workflows and collaborating with cross-functional teams.

PhD-level research internship developing RL-based locomotion and learned planning for legged robots. Design and evaluate sim-to-real training pipelines, build GPU-accelerated simulations, test on real hardware, and translate research into deployable systems while collaborating across perception, systems, and embedded teams.

Design and build distributed ML infrastructures to optimize data processing, model training, and evaluation among teams.

The Robotics System Engineer will define and translate system requirements for AI-driven robotics, ensuring integration and validation of operational systems across diverse 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.

The Robotics Demo Specialist engages visitors through live demonstrations of autonomous robots, conveying complex ideas effectively while providing an exciting experience.

Design and build scalable full-stack web applications, develop backend services with Node.js and Python, and create responsive frontends with React. Collaborate with cross-functional teams to deliver customer-facing features and improve system performance.