This role requires a highly experienced and strategic leader with extensive expertise in robotics, AI, and engineering, combined with proven leadership skills. Below is a summary of the key components of this position:

Strategic Leadership and Vision

• Develop and implement a comprehensive robotics strategy across various platforms, including quadrupeds, bipeds, humanoid robots, bionics, and industrial robots.
• Lead cross-functional integration of Perception, Mechanical, and Edge AI teams to ensure cohesive, high-performance robotic systems.
• Drive the creation of a technology roadmap for continuous advancements in robotic locomotion, perception, and AI, with an emphasis on balancing short-term goals with long-term innovation.

Overseeing Robotics Development

• Guide the design and development of complex robotic systems across various types:
  • Quadrupeds/Bipeds: Focus on balance, stability, and adaptability for dynamic industrial environments.
  • Humanoids: Ensure robots can perform complex, human-like tasks, emphasizing precision and dexterity.
  • Bionics: Oversee bio-inspired robots that mirror biological movements for enhanced performance.
  • Industrial Systems: Lead the development of industrial robots designed for high-demand manufacturing and automation environments.

Leadership of Perception and Sensing Team

• Spearhead the creation of advanced sensing systems that combine LiDAR, depth cameras, and stereo vision for 3D mapping.
• Oversee computer vision tasks like object detection, classification, and scene segmentation, and implement SLAM algorithms for autonomous navigation.

Mechanical Engineering and Robotics Design

• Lead mechanical architecture development for robots, focusing on resilience, lightweight materials, and ergonomic design.
• Ensure precision motion control, adaptive actuation systems, and rigorous prototyping and testing processes.

Edge AI and Real-Time Processing

• Optimize real-time AI models and processing systems, ensuring low-latency performance with edge computing.
• Deploy AI models efficiently on platforms like NVIDIA Jetson and develop continuous learning pipelines for improved robot autonomy.

Project Management and Resource Allocation

• Define project milestones, manage cross-functional teams, and oversee budgets for robotics development initiatives.
• Implement effective risk management strategies, ensuring project timelines and resources are optimized.

Team Development and Mentorship

• Build and nurture a high-performing team environment while providing mentorship and career development opportunities.
• Collaborate with HR to attract and retain top talent in robotics and engineering.

Innovation, R&D, and Industry Engagement

• Lead R&D initiatives for cutting-edge technologies, foster industry partnerships, and engage with open-source robotics and AI communities.
• Ensure the protection of intellectual property developed by the team and encourage patent filings.

Compliance, Safety, and Standards

• Ensure all robotics systems meet industry standards for performance, safety, and reliability.
• Establish safety protocols and promote ethical AI development within robotics systems.

Qualifications

• Education: Master’s or Ph.D. in Robotics, Computer Science, Engineering, or related fields.
• Experience: 15+ years in robotics, with at least 7 years in senior leadership roles.
• Skills: Expertise in AI, robotics, sensor fusion, motion control, and real-time processing. Proficiency in Python, C++, ROS, machine learning frameworks, and robotics simulation tools. Strong experience with control systems, embedded systems, and cloud robotics.

Preferred Qualifications

• Project management skills, Agile methodology experience, and familiarity with MLOps and DevOps practices.
• Knowledge of industrial compliance and manufacturing standards.
• Contributions to open-source robotics or AI projects.