Job Description

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

n

n

Educational Qualifications:

n

n
- Ph.D. OR M.Tech with equivalent expertise in Robotics, Artificial Intelligence, Mechatronics, Computer Science or related field
n
- Specialization in AI/ML, Robotics, Autonomous Systems, or Computer Vision
n

n

n

Work Experience:

n

n
- 10-15 years of progressive experience in robotics/AI systems development
n
- Hands-on experience with NVIDIA hardware-software ecosystem
n
- Proven track record in developing humanoid/quadruped/COBOT systems
n
- Experience leading large-scale robotics projects from concept to deployment
n
- Academic research experience with publications in reputable conferences/journals
n

n

n

Technical Competencies:

n

n
- Expert-level proficiency with NVIDIA Omniverse, Isaac Sim, Jetson platforms
n
- Advanced skills in ROS/ROS2, C++, Python, OpenCV, TensorFlow/PyTorch
n
- Strong understanding of robotic perception, planning, and control systems
n
- Experience with sensor integration (LiDAR, cameras, IMU) and embedded systems
n
- Knowledge of digital twins, simulation environments, and virtual testing
n

n

n

Professional Skills:

n

n
- Strong leadership and team management capabilities
n
- Excellent communication and presentation skills
n
- Ability to bridge academic research and industrial applications
n
- Strategic thinking and problem-solving abilities
n
- Project management and resource allocation expertise
n

n

n

Key Skills

n

n
- NVIDIA Omniverse Platform
n
- NVIDIA Jetson & GPU Systems
n
- Robotics Operating System (ROS/ROS2)
n
- Humanoid Robotics Development
n
- Quadruped Robotic Systems
n
- Collaborative Robots (COBOTs)
n
- NVIDIA Isaac Sim/Lab
n
- Digital Twins Creation
n
- Sim-to-Real Implementation
n
- C++ Programming
n
- Python Development
n
- Machine Learning & Deep Learning
n
- Computer Vision
n
- Autonomous Systems
n
- Reinforcement Learning
n
- OpenUSD Framework
n
- Foundation Models for Robotics
n

n

n





Roles and Responsibilities

n

n
- Strategic Architecture Development
n
- Design and architect end-to-end robotic solutions for humanoids, quadrupeds, and team-oriented robots
n
- Develop comprehensive digital twin ecosystems using NVIDIA Omniverse and OpenUSD
n
- Create sim-to-real workflows for seamless virtual-to-physical robotic deployment
n
- Lead technical strategy for DSU's Center of Excellence in AI & Robotics
n
- NVIDIA Ecosystem Implementation
n
- Implement and optimize NVIDIA hardware-software stack (Jetson platforms, DGX systems, Omniverse)
n
- Develop robotic applications using NVIDIA Isaac ROS for perception, navigation, and manipulation
n
- Utilize NVIDIA GR00T foundation models for advanced humanoid behaviors
n
- Build simulation environments with NVIDIA Isaac Sim for virtual training and validation
n

n

n

Robotics Platform Expertise

n

n
- Develop humanoid robotic systems with locomotion, balance control, and manipulation capabilities
n
- Design quadruped robotic platforms for inspection, logistics, and navigation in challenging terrains
n
- Implement collaborative robots (COBOTs) with advanced safety systems and human-robot interaction
n
- Architect autonomous systems with real-time perception, planning, and control capabilities
n

n

n

Research & Innovation Leadership

n

n
- Lead cutting-edge research in embodied AI, reinforcement learning, and robotic perception
n
- Secure research grants and establish industry-academia collaborations
n
- Publish high-impact research papers in top-tier robotics conferences
n
- Mentor PhD students and research teams in advanced robotics technologies
n

n

n

Academic Integration

n

n
- Develop curriculum for robotics engineering programs with hands-on NVIDIA ecosystem training
n
- Establish industry partnerships with leading robotics companies and research institutions
n
- Create training programs and certification courses for NVIDIA and robotics technologies
n
- Design industry-grade projects and real-world applications for student learning
n

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