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