• The Director of AI will be a pivotal leader within our cutting-edge humanoid robotics company, driving the strategic direction and execution of all artificial intelligence and machine learning initiatives
• This role requires a knowledgeable technologist and a skilled manager capable of championing and leading our existing high-performing team to develop the AI foundation for the next generation of humanoid robots
• The successful candidate will be instrumental in defining the AI architecture, ensuring ethical implementation, and delivering robust, real-time AI capabilities that enable our robots to interact intelligently and safely with the world
• Define and champion the overall AI strategy and roadmap in alignment with the company’s product vision and business goals
• Lead the selection and integration of advanced machine learning models, algorithms, and deep learning techniques relevant to embodied AI (e.g., perception, manipulation, natural language understanding)
• Foster a culture of innovation, rigorous research, and responsible AI development that supports the team’s ongoing success
• Ensure that all AI systems adhere to the highest standards of safety, privacy, and ethical guidelines
• Partner with Hardware and Robot Software leadership to ensure the sensor suite and embedded compute are optimized for current and future AI model architectures
• Oversee the design, development, and deployment of on-robot and cloud-based AI systems, leveraging the existing team’s expertise
• Establish MLOps best practices for efficient model training, deployment, monitoring, and iteration
• Drive research into novel AI solutions for complex robotics challenges, such as real-time planning, human-robot interaction, and adaptive motor control
• Deliver production-ready AI models that meet performance, latency, and reliability requirements for commercial deployment
• Spearhead the Sim2Real strategy, utilizing physics-based simulation (e.g., MuJoCo, Isaac Sim) to train robust policies that transfer seamlessly to hardware
• Accelerate our data flywheel strategy to combine teleoperation, synthetic data, and fleet learning to expand the fleet performance and reliability
• Champion the existing team’s talent and represent their needs to senior leadership
• Develop a comprehensive hiring plan to staff and scale the AI team, including defining required roles (e.g., ML Engineers, Data Scientists, AI Researchers)
• Lead recruitment, mentorship, and career development for all members of the AI team
• Manage the budget allocated for team salaries, equipment, and necessary infrastructure
• Forecast and manage the budget for cloud computing resources (GPUs, TPUs) necessary for large-scale model training and experimentation
• Secure and allocate funding for specialized datasets and data annotation services
• Evaluate and procure necessary software licenses and tools for AI development and simulation
• Regularly report on expenditure and resource utilization to senior leadership

Benefits