AI Lab Lead, Physical Hardware & Edge Robotics

TymblHub; Mumbai; On-site; INR 1,100,000 - 1,700,000; Full time

Job summary

Capgemini Engineering in Navi Mumbai is seeking an AI Lab Lead to head AI initiatives that connect software intelligence with physical hardware, edge devices, and robotics. You will guide development of intelligent edge solutions and collaborate with cross-functional teams to deliver end-to-end systems.

The role requires hands-on experience with AI/ML, edge inference, and hardware integration, plus proficiency in Python or C/C++, Linux, and embedded platforms.

Qualifications

• Experience with edge computing and robotics.
• Knowledge of AI/ML and Generative AI.
• Understanding of sensors, cameras, and IoT devices.

Responsibilities

• Lead hardware and edge robotics AI projects.
• Design solutions involving AI, sensors, edge devices, and robotics.
• Work with embedded systems and edge computing platforms.
• Optimize AI models for edge devices and support hardware-software integration.

Skills

AI/ML

Python

C/C++

Edge computing

Robotics

Hardware integration

Job description

# AI Lab Lead, Physical Hardware & Edge RoboticsCapgeminiPosted on October 11, 2026---Job LocationNavi Mumbai, IndiaVacancy15DesignationUnmapped Designation (Legacy Sentinel)Job TypeONSITE---## Job Description## Job SummaryAt Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world's most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.## About the RoleWe are looking for a technical lead who can lead the development of AI solutions involving physical hardware, edge devices, and robotics. The person will connect AI capabilities with real-world devices and help build intelligent edge solutions.## Key Responsibilities* **Lead hardware and edge robotics AI projects.*** **Design solutions involving AI, sensors, edge devices, and robotics.*** Work on AI inference at the edge.* Integrate AI models with physical devices and robots.* Work with cameras, sensors, controllers, and other hardware.* Develop and test edge AI applications.* Work with embedded systems and edge computing platforms.* Optimize AI models for edge devices.* Support hardware and software integration.* Troubleshoot hardware, software, and AI integration issues.* Guide engineers working on edge and robotics projects.* Work with the Solution Architect to define the overall solution.* Evaluate new hardware, edge platforms, and AI technologies.## Requirements* Experience with edge computing and robotics.* Good understanding of hardware and software integration.* **Knowledge of AI/ML and Generative AI.*** **Knowledge of Python and/or C/C++.*** **Understanding of sensors, cameras, and IoT devices.*** Knowledge of Linux and edge computing platforms.* Understanding of networking and communication protocols.* Experience with AI inference on edge devices.* Good troubleshooting skills.* Strong technical leadership skills.### AI SkillsKnowledge or experience with:* Google AI / Google Cloud AI* AWS AI services* OpenAI* Anthropic* Computer Vision* Edge AI* AI/ML models* LLMs## About the CompanyCapgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.