About the Role
Physical AI is DXC Engineering's approach to turning a measurable operational bottleneck into safe, repeatable robotic execution
- using a closed loop of Live Twin, Sensor Platform, and Operations Management to validate, deploy, and scale in green & brownfield environments. This role focuses on designing and developing AI-powered physical systems and robotics software, implementing real-time control and decision-making algorithms, and integrating advanced sensors and AI/ML frameworks to build robust, autonomous systems. Responsibilities
• Design and develop AI-powered physical systems and robotics software
• Build real-time control and decision-making algorithms
• Integrate sensors such as cameras, LiDAR, GPS, and IMUs
• Develop computer vision and perception modules
• Train, test, and deploy machine learning models
• Work with robotics frameworks like Robot Operating System (ROS/ROS2)
• Implement motion planning and autonomous navigation systems
• Develop embedded and edge AI applications
• Optimize software for low latency and high reliability
• Test and validate systems in simulation and real-world environments
• Debug hardware-software integration issues
• Ensure safety, fault tolerance, and system stability
• Collaborate with mechanical, electronics, and AI engineering teams
• Maintain documentation and technical reports
• Monitor system performance and improve AI model accuracy
• Support deployment, updates, and maintenance of autonomous systems
• Use tools and frameworks such as PyTorch, TensorFlow, and OpenCV
• Participate in research and innovation for next-generation physical AI solutions Required Skills
• Advanced Python Programming




- motivated to work on AI/LLM integration
• Embedded C/C++
- should have extensive hands-on experience with hardware
• Linux Environments
- hands-on proficiency with Linux systems and Docker containerization Preferred Skills
• Computer Vision, Sensor Fusion & Localization, Robotics AI / ML
• ROS2, Real-Time Data Handling, Programming (Robust Python & C++ (optional))
• Debugging Skills, Understanding of Robotics Pipeline, Model Optimization & Deployment
• Programming: Python, C++, Rust
• Robotics: ROS/ROS2
• AI/ML: PyTorch, TensorFlow
• Computer Vision: OpenCV
• Embedded Systems: Linux, CUDA
• Simulation: Gazebo, Isaac Sim, Unity
• Cloud/Edge Deployment
• Real-time systems and networking
• Reinforcement Learning, Multi-agent systems
• Gazebo, Isaac Sim & Rviz2
• Backend Engineering, Frontend / UI
• Simulation, System Integration, Testing & Validation Pipelines
• Real-Time Data Handling, DevOps & Deployment, ROS2 Awareness
• Debugging Skills, Debugging Skills
• Control Systems, Robotics Motion & Actuation, ROS2 Integration
• Real-Time Systems Understanding, Programming (C++ & Python)
• System Integration, Simulation & Testing, Safety & Stability
• Debugging Skills, Hardware Understanding
• Backend Engineering, Frontend / UI
• Simulation, System Integration, Testing & Validation Pipelines
• Real-Time Data Handling, DevOps & Deployment, ROS2 Awareness
• Debugging Skills, Debugging Skills
• Control Systems, Robotics Motion & Actuation, ROS2 Integration
• Real-Time Systems Understanding, Programming (C++ & Python)
• System Integration, Simulation & Testing, Safety & Stability
• Debugging Skills, Hardware Understanding

📌 AI-powered physical systems Software Developer (India)
🏢 Luxoft India
📍 India