- 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++).

- Solid 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

📌 Project Lead – AI Robotics Systems (Bengaluru)
🏢 Tata Elxsi
📍 Bengaluru