AI-powered physical systems Software Developer (Python, Embedded C/C++, Linux)

Luxoft India; Bengaluru; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Luxoft India is seeking a highly skilled AI and robotics software engineer to design and develop AI-powered physical systems, implement real-time control, and integrate sensors for autonomous platforms.

The role entails building computer vision modules, training ML models, leveraging ROS/ROS2, and ensuring safety and reliability across embedded and edge deployments in ROS-enabled environments.

Qualifications

• Advanced Python programming with AI/LLM integration.
• Embedded C/C++ with hardware experience.
• Linux environments with Docker containerization.

Responsibilities

• Design AI-powered physical systems and robotics software.
• Build real-time control and decision-making algorithms.
• Integrate sensors (cameras, LiDAR, GPS, IMUs).
• Develop computer vision and perception modules.
• Train, test, and deploy ML models.
• Work with ROS/ROS2 for robotics applications.
• Implement motion planning and autonomous navigation.
• Develop embedded and edge AI applications.
• 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 teams.
• Maintain documentation and technical reports.
• Monitor system performance and improve AI model accuracy.
• Support deployment, updates, and maintenance of autonomous systems.

Skills

Python (Advanced)

Embedded C/C++

Linux

Docker

ROS/ROS2

PyTorch

TensorFlow

OpenCV

Tools

ROS/ROS2

Gazebo

Rviz2

Isaac Sim

CUDA

Job description

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

• 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
• Cloud/Edge Deployment
• Real-time systems and networking
• Gazebo, Isaac Sim & Rviz2
• Control Systems, Robotics Motion & Actuation, ROS2 Integration
• System Integration, Simulation & Testing, Safety & Stability
• Debugging Skills, Hardware Understanding
• Control Systems, Robotics Motion & Actuation, ROS2 Integration
• System Integration, Simulation & Testing, Safety & Stability
• Debugging Skills, Hardware Understanding