<div class="content-intro"><p>Agility’s commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential.</p></div><h1><span style="font-size: 12pt;"><strong>Overview</strong></span></h1> <p><span style="font-size: 10pt;">The Senior 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.</span></p> <h1><span style="font-size: 12pt;"><strong>Core Responsibilities and Deliverables</strong></span></h1> <h2><span style="font-size: 10pt;"><strong>Strategic Leadership and Vision</strong></span></h2> <ul> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Define and champion the overall AI strategy and roadmap in alignment with the company's product vision and business goals.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">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).</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Foster a culture of innovation, rigorous research, and responsible AI development that supports the team's ongoing success.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Ensure that all AI systems adhere to the highest standards of safety, privacy, and ethical guidelines.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Partner with Hardware and Robot Software leadership to ensure the sensor suite and embedded compute are optimized for current and future AI model architectures.</span></li> </ul> <h2><span style="font-size: 10pt;"><strong>Technical Execution and Development</strong></span></h2> <ul> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Oversee the design, development, and deployment of on-robot and cloud-based AI systems, leveraging the existing team's expertise.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Establish MLOps best practices for efficient model training, deployment, monitoring, and iteration.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Drive research into novel AI solutions for complex robotics challenges, such as real-time planning, human-robot interaction, and adaptive motor control.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Deliver production-ready AI models that meet performance, latency, and reliability requirements for commercial deployment.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Spearhead the Sim2Real strategy, utilizing physics-based simulation (e.g., MuJoCo, Isaac Sim) to train robust policies that transfer seamlessly to hardware.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Accelerate our data flywheel strategy to combine teleoperation, synthetic data, and fleet learning to expand the fleet performance and reliability.</span></li> </ul> <h2><span style="font-size: 10pt;"><strong>Team Building and Hiring</strong></span></h2> <ul> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Champion the existing team's talent and represent their needs to senior leadership.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Develop a comprehensive hiring plan to staff and scale the AI team, including defining required roles (e.g., ML Engineers, Data Scientists, AI Researchers).</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Lead recruitment, mentorship, and career development for all members of the AI team.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Manage the budget allocated for team salaries, equipment, and necessary infrastructure.</span></li> </ul> <h2><span style="font-size: 10pt;"><strong>Resourcing and Budgeting</strong></span></h2> <ul> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Forecast and manage the budget for cloud computing resources (GPUs, TPUs) necessary for large-scale model training and experimentation.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Secure and allocate funding for specialized datasets and data annotation services.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Evaluate and procure necessary software licenses and tools for AI development and simulation.</span></li