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 team-oriented 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

📌 Lab Manager(AI & Robotics) - Humanoid & Quadruped Systems (Bengaluru)
🏢 Dayananda Sagar University
📍 Bengaluru