Lab Manager(AI & Robotics) - Humanoid & Quadruped Systems
Dayananda Sagar University · Bengaluru · onsite · Posted 46d ago
Not disclosed10–15 yrsfulltimeSourced from
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About this role
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
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Skills
Foundation Models for RoboticsHumanoid Robotics DevelopmentOpenUSD FrameworkQuadruped Robotic SystemsSim-to-Real ImplementationVirtual testingIMUreinforcement learningComputer VisionLidarrosOpencvROS2C plus plusEmbedded SystemsPytorchTensorflowNVIDIA Omniverseautonomous systemsDigital TwinsNVIDIA Isaac SimPythonDeep LearningMachine Learningsimulation environmentscollaborative robots
About Dayananda Sagar University
Dayananda Sagar University
Education & Training
10.0k+
employees
Bangalore
IN
₹7.9L PA avg
Avg at Dayananda Sagar University
About
Dayananda Sagar University is a private institution established in 2014 in Bengaluru, Karnataka, rooted in the legacy of Dayananda Sagar Institutions—founded in the early 1960s by the visionary Sri Dayananda Sagar. Governed by the Mahatma Gandhi Vidya Peetha Trust, DSU benefits from a rich heritage, expanding from humble beginnings to serving over 17,000 students across multiple campuses.The university houses a wide range of schools offering undergraduate, postgraduate, and doctoral programs across Engineering, Computer Applications, Basic & Applied Sciences, Commerce & Management, Arts & Humanities, Law, and Health Sciences. Its curriculum is designed to bridge theoretical learning with industry-relevant skills, reinforced through research, innovation, and entrepreneurial incubation via initiatives like the DERBI Foundation.DSU also maintains state-of-the-art infrastructure with modern labs, lecture halls, libraries, and hostels, along with research facilities, innovation labs, and clinical training setups within its medical institutions. Guided by visionary leadership, the university upholds a mission to nurture future-ready leaders through excellence in education, research, and entrepreneurship.
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