AI Lab - Lead - Physical Hardware & Edge Robotics

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the worlds mostinnovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as theyprovide 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 arethe same.

Job Description

We 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

Primary Skills

• 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 Skills

Knowledge or experience with:

• Google AI / Google Cloud AI
• AWS AI services
• OpenAI
• Anthropic
• Computer Vision
• Edge AI
• AI/ML models
• LLMs