Robotics Software Engineer
About Us
Dyson is a global technology company that sets out to solve the problems others ignore. We create machines that are different, better and more useful through inventive engineering, relentless testing and a refusal to accept conventional answers.
About The Role
As a Robotics Software Engineer, you will design and develop core robotics behaviours and features for intelligent products, contributing to high-performance, reliable, and scalable robotic systems. You will work within a cross-functional team to solve real-world robotics problems, particularly in navigation, perception, and autonomous behaviour.
Key Responsibilities
Dyson is a global technology company that sets out to solve the problems others ignore. We create machines that are different, better and more useful through inventive engineering, relentless testing and a refusal to accept conventional answers.
About The Role
As a Robotics Software Engineer, you will design and develop core robotics behaviours and features for intelligent products, contributing to high-performance, reliable, and scalable robotic systems. You will work within a cross-functional team to solve real-world robotics problems, particularly in navigation, perception, and autonomous behaviour.
Key Responsibilities
- Design and develop robotics behaviours and features for embedded systems
- Implement algorithms for navigation, control, and task execution in robotic platforms (e.g., vacuum robots)
- Contribute to full software lifecycle: requirements, design, implementation, testing, and maintenance
- Participate actively in feature design discussions and code reviews
- Optimize system performance, robustness, and reliability
- Collaborate with hardware, product, and testing teams
- Implement and integrate ML models into embedded/edge robotics systems, ensuring efficient runtime performance (latency, memory, power constraints)
- Support development of perception modules:
- Object detection and classification (e.g., obstacles, floor types, dirt detection)
- Basic scene understanding for navigation
- Assist in data pipeline activities:
- Data collection from robots (logs, sensor data)
- Data annotation and preprocessing for model training
- Work on feature-level intelligence:
- Cleaning optimization behaviours (coverage, path efficiency)
- Basic adaptive behaviours based on sensor inputs
- Collaborate with ML engineers to:
- Validate models in real-world robotic environments
- Debug model failures in production scenarios
- Use GenAI tools (Copilot, Claude, etc.) to:
- Accelerate implementation of ML pipelines and test harnesses
- Improve code quality and documentation for AI components
- 2+ years in robotics or embedded software development
- Strong programming skills in C++ (modern standards), Python
- Experience in:
- Robotics behaviour development (navigation, path planning, control)
- Embedded systems and real-time software
- Familiarity with software design patterns and clean architecture
- Foundational understanding of machine learning principles:
- Supervised learning, classification, regression
- Basic neural networks and model evaluation concepts
- Exposure to robotics perception fundamentals:
- Computer vision (e.g., OpenCV, image processing)
- Sensor data handling (camera, LiDAR, IMU)
- Familiarity with ML frameworks (e.g., PyTorch, TensorFlow Lite) for basic model integration
- Understanding of edge/embedded ML constraints:
- Latency, memory, compute, and power trade-offs
- Experience supporting data pipelines:
- Data collection, preprocessing, and labeling workflows
- Basic knowledge of robotics behaviour systems:
- Navigation, obstacle avoidance, simple planning logic
- Awareness of performance optimization techniques:
- Multithreading, concurrency, and efficient resource use
- Practical experience using GenAI tools (e.g., GitHub Copilot, Anthropic Claude):
- Code generation, debugging assistance, and documentation
- Strong analytical skills with ability to debug real-world robotics + ML issues
- Strong problem-solving mindset and learning agility
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