Robotics Software Development professional

Key Responsibilities:

Robotics Systems Software Development

• Design and implement modular robotics software using ROS 2, modern C++, and Python
• Develop reusable frameworks for perception, localization, navigation, and control
• Build scalable software architectures for AMRs and autonomous platforms
  AI-Accelerated Perception Robotics Algorithms
• Develop and integrate GPU-accelerated perception pipelines using:
  o Computer vision (OpenCV, image processing, sensor fusion)
  o Deep learning-based perception (object detection, segmentation, tracking)
• Optimize robotics workloads to efficiently utilize GPUs and heterogeneous compute
• Work with AI inference pipelines integrated into robotics systems
  Algorithm Development
• Implement robotics software sdk using tools like nav2, moveIt, ros perception, ros2_control etc. and optimize algorithms for:
  o SLAM and localization
  o Global and local path planning
  o Obstacle detection and avoidance
  o Motion planning and control (Nav2, custom planners)
  Simulation, Learning Validation
• Build and maintain simulation environments using Gazebo/Ignition
• Develop simulation-based validation workflows for autonomy stacks
• (Good to have) Apply reinforcement learning or learning-based approaches for navigation, control, or policy optimization
• (Good to have) Experience with emerging simulation or robotics research tools (e.g., Genesis, physics-based or learning-driven simulators)
  Hardware Platform Integration
• Integrate robotics software with sensors including LiDAR, RGB/RGB-D cameras, stereo cameras, IMUs
• Work closely with platform teams to enable deployment on embedded and accelerated hardware
• Support optimization and deployment on AMD GPU platforms, leveraging ROCm and AMDGPU software stacks where applicable
  Performance Optimization
• Profile, debug, and optimize software for:
  o Real-time performance
  o Low latency and deterministic behavior
  o Efficient GPU and memory utilization
• Identify performance bottlenecks across CPU/GPU boundaries
  Development Infrastructure Quality
• Contribute to CI/CD pipelines for automated build, test, and validation
• Containerize applications using Docker
• Improve code quality, test coverage, and development efficiency
  Collaboration
• Collaborate with QA, hardware, systems, and product teams
• Participate in architecture discussions, design reviews, and technical documentation
  Required Qualifications
• 6 - 8 years of experience in robotics software development
• Strong expertise in ROS 2 and C++
• Solid understanding of robotics fundamentals: SLAM, navigation, motion planning, control
• Hands-on experience with robotics simulation tools (Gazebo/Ignition, Isaac Sim)
• Experience with computer vision and sensor processing (OpenCV)
• Proficiency in Python for scripting, automation, and tooling
• Experience with CI/CD systems and containerized development (Docker)
  Preferred / Good-to-Have Qualifications
• Experience with GPU-accelerated robotics or AI workloads
• Familiarity with ROCm, AMDGPU, or heterogeneous computing platforms
• Knowledge of reinforcement learning applied to robotics or control
• Exposure to multi-robot systems and fleet orchestration
• Experience with real-time systems and performance tuning
• Familiarity with warehouse or industrial automation
• Exposure to NVIDIA robotics stack ( Jetpack + Isaac Ros )
  Success Metrics
• Delivery of high-performance, GPU-accelerated robotics software
• Reliable real-time autonomy in simulation and real-world environments
• Efficient utilization of AMD compute platforms
• Scalable, maintainable robotics frameworks ready for production

Top 3 must haves:

**- 6 - 8 years of experience in robotics software development

• Strong expertise in ROS 2 and C++
• Solid understanding of robotics fundamentals: SLAM, navigation, motion planning, control**

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