Tata Elxsi is among the world’s leading providers of design and technology services across industries, including automotive, broadcast, communications, healthcare, and transportation. Tata Elxsi works with leading OEMs and suppliers in the automotive and transportation industries for R&D, design, and product engineering services from architecture to launch and beyond.

• 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