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