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 (Strong 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 (Python, Embedded C/C++, Linux)