Lab Manager(AI & Robotics) - Humanoid & Quadruped Systems

Title - Manager(AI & Robotics) - Humanoid & Quadruped Systems Educational Qualifications: Ph.D. OR M.Tech with equivalent expertise in Robotics, Artificial Intelligence, Mechatronics, Computer Science or related field Specialization in AI/ML, Robotics, Autonomous Systems, or Computer Vision Work Experience: 10-15 years of progressive experience in robotics/AI systems development Hands-on experience with NVIDIA hardware-software ecosystem Proven track record in developing humanoid/quadruped/COBOT systems Experience leading large-scale robotics projects from concept to deployment Academic research experience with publications in reputable conferences/journals Technical Competencies: Expert-level proficiency with NVIDIA Omniverse, Isaac Sim, Jetson platforms Advanced skills in ROS/ROS2, C++, Python, OpenCV, TensorFlow/PyTorch Strong understanding of robotic perception, planning, and control systems Experience with sensor integration (LiDAR, cameras, IMU) and embedded systems Knowledge of digital twins, simulation environments, and virtual testing Professional Skills: Strong leadership and team management capabilities Excellent communication and presentation skills Ability to bridge academic research and industrial applications Strategic thinking and problem-solving abilities Project management and resource allocation expertise Key Skills NVIDIA Omniverse Platform NVIDIA Jetson & GPU Systems Robotics Operating System (ROS/ROS2) Humanoid Robotics Development Quadruped Robotic Systems Collaborative Robots (COBOTs) NVIDIA Isaac Sim/Lab Digital Twins Creation Sim-to-Real Implementation C++ Programming Python Development Machine Learning & Deep Learning Computer Vision Autonomous Systems Reinforcement Learning OpenUSD Framework Foundation Models for Robotics Roles and Responsibilities Strategic Architecture Development Design and architect end-to-end robotic solutions for humanoids, quadrupeds, and collaborative robots Develop comprehensive digital twin ecosystems using NVIDIA Omniverse and OpenUSD Create sim-to-real workflows for seamless virtual-to-physical robotic deployment Lead technical strategy for DSU's Center of Excellence in AI & Robotics NVIDIA Ecosystem Implementation Implement and optimize NVIDIA hardware-software stack (Jetson platforms, DGX systems, Omniverse) Develop robotic applications using NVIDIA Isaac ROS for perception, navigation, and manipulation Utilize NVIDIA GR00T foundation models for advanced humanoid behaviors Build simulation environments with NVIDIA Isaac Sim for virtual training and validation Robotics Platform Expertise Develop humanoid robotic systems with locomotion, balance control, and manipulation capabilities Design quadruped robotic platforms for inspection, logistics, and navigation in challenging terrains Implement collaborative robots (COBOTs) with advanced safety systems and human-robot interaction Architect autonomous systems with real-time perception, planning, and control capabilities Research & Innovation Leadership Lead cutting-edge research in embodied AI, reinforcement learning, and robotic perception Secure research grants and establish industry-academia collaborations Publish high-impact research papers in top-tier robotics conferences Mentor PhD students and research teams in advanced robotics technologies Academic Integration Develop curriculum for robotics engineering programs with hands-on NVIDIA ecosystem training Establish industry partnerships with leading robotics companies and research institutions Create training programs and certification courses for NVIDIA and robotics technologies Design industry-grade projects and real-world applications for student learning