Project Lead – AI Robotics Systems

• Lead the architecture, design, development, and deployment of AI-enabled robotic systems for industrial and enterprise applications.
• Drive end-to-end execution of robotics projects, ensuring alignment with business objectives, quality standards, and delivery timelines.
• Develop scalable and production-grade applications across various robotics use cases.
• Define technical roadmaps, solution architectures, and engineering best practices.
• Collaborate with Product Managers, Competency Heads, Architects, and Business Stakeholders to translate business requirements into robust technical solutions.
• Manage project plans, milestones, risks, dependencies, and resource allocation.
• Provide technical guidance and status updates to leadership and customers.
• Support customer engagements, proof-of-concepts, and solution demonstrations.
• Design and implement solutions involving Computer Vision, Sensor Fusion, Autonomous Systems, and Intelligent Robotics.
• Develop rapid prototypes and proof-of-concepts for customer requirements and internal product initiatives.
• Drive innovation through the integration of AI, Machine Learning, and Generative AI technologies into robotics platforms.
• Contribute to the enhancement and expansion of existing robotics modules and frameworks.
• Lead, mentor, and guide a team of AI and Robotics Engineers.
• Conduct technical reviews and establish engineering best practices.
• Foster a culture of innovation, collaboration, and continuous learning.
• Drive capability development and technical excellence within the team.

Research & Innovation:

• Stay current with emerging advancements in AI, Robotics, Computer Vision, Autonomous Systems, and Digital Twin technologies.
• Evaluate and implement new tools, frameworks, and techniques to improve product capabilities and engineering productivity.
• Drive R&D initiatives focused on next-generation robotic solutions.

Required Skills & Qualifications:

Experience

• 6-8 years of experience in Robotics, AI, Computer Vision, Autonomous Systems, or related domains.
• Proven experience leading technical projects and managing engineering teams.
• Strong experience in designing and deploying production-grade robotics applications.

Technical Skills

Programming & Software Development

• Strong programming expertise in Python and C++.
• Extensive experience with C++11, C++14, and C++17 standards.
• Strong understanding of Data Structures, Algorithms, Multi-threading, and Concurrent Programming.

Computer Vision & AI

• Hands-on experience with OpenCV (Python/C++).
• Strong understanding of Computer Vision, Image Processing, Object Detection, Recognition, and Tracking techniques.
• Working knowledge of Machine Learning and Deep Learning frameworks such as:
  • PyTorch
  • TensorFlow

Robotics & Sensor Fusion

• Strong experience with ROS/ROS2 middleware and ecosystem.
• Hands-on experience integrating and processing data from:
  • LiDAR (2D & 3D Point Clouds)
  • RGB & RGB-D Cameras
  • Radar
  • Ultrasonic Sensors
  • Infrared Sensors
• Expertise in Sensor Fusion techniques for autonomous and intelligent robotic systems.

Simulation & Digital Twins

• Experience building robotics simulations using:
  • Gazebo
  • Unity
  • Unreal Engine
• Exposure to:
  • NVIDIA Isaac Sim
  • NVIDIA Omniverse

Cloud & Containerization

• Experience creating and managing production-grade containerized applications.
• Hands-on expertise with:
  • Docker
  • Kubernetes
  • Cloud-native deployment frameworks
• Experience deploying robotic workloads in cloud or edge environments.

Preferred Qualifications

• Experience working with Mechanical CAD models and engineering design files.
• Exposure to Generative AI and AI Agent frameworks.
• Knowledge of autonomous navigation, path planning, and robotic motion control.
• Experience with Digital Twin platforms and simulation-based testing.
• Understanding of MLOps or AI deployment pipelines.
• Experience with industrial automation, manufacturing robotics, or autonomous systems.

Educational Qualification

• Bachelor's or Master's degree in Robotics, Computer Science, Artificial Intelligence, Electronics & Communication, Mechatronics, Mechanical Engineering, or a related field.

Key Competencies

• Robotics System Architecture
• AI & Computer Vision Development
• Sensor Fusion & Autonomous Systems
• Technical Leadership
• Project Management & Delivery
• Stakeholder Management
• Team Mentoring & Capability Building
• Innovation & Research
• Problem Solving & Analytical Thinking
• Cross-functional Collaboration