Senior 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 Senior Robotics Software Engineers demonstrate advanced design and problem-solving expertise, leading the development of complex robotics systems and intelligent features. They play a key role in ensuring robustness, scalability, and manufacturability while mentoring junior engineers. Key Responsibilities Lead design and development of complex robotics behaviours and intelligent features Own end-to-end delivery of critical modules or subsystems Develop and optimize ML-driven capabilities such as: Perception (object detection, mapping) Adaptive/autonomous behaviours Tackle complex system-level challenges (e.g., latency, reliability, sensor fusion) Ensure production-quality code and system robustness Provide mentorship and technical guidance to engineers Collaborate cross-functionally to align software with product and hardware constraints Escalate risks and drive resolution proactively AI/ML Responsibilities Design and develop end-to-end AI/ML systems for robotics applications, from model selection to deployment Own perception and intelligence modules , including: Vision-based navigation and mapping Sensor fusion (LiDAR, camera, IMU) Context-aware and adaptive cleaning behaviours (vacuum robotics focus) Optimize and deploy real-time inference on edge devices , including: Model compression, quantization, and acceleration Performance tuning under embedded constraints Lead data-driven development cycles : Define data requirements and collection strategies Analyze telemetry from deployed robots to improve model performance Solve complex AI-related challenges: Model robustness in diverse home environments Failure detection and recovery strategies Guide others in: ML model integration best practices Experimentation frameworks (A/B testing, offline vs real-world validation) Drive adoption of GenAI-assisted workflows : Code generation for ML pipelines Automated test generation and debugging Documentation and knowledge sharing About You 5+ years in robotics, embedded systems, or related domains (progression from mid-level) Advanced proficiency in C++ and Python for building scalable robotics and AI systems Strong hands-on experience developing and deploying ML models in production robotics environments Deep expertise in robotics perception and intelligence systems : Object detection, segmentation, tracking Sensor fusion (camera, LiDAR, IMU) Navigation (SLAM, localization, motion planning) Experience with ML frameworks and deployment tools : PyTorch / TensorFlow (training + inference) ONNX, TensorRT, or equivalent optimization frameworks Proven ability to deploy and optimize edge AI systems : Model quantization, pruning, and performance tuning Real-time inference under embedded constraints Strong experience in data-driven development : Dataset definition, labeling strategies, evaluation metrics Using real-world telemetry for continuous model improvement Solid domain knowledge in vacuum robotics / consumer robotics , including: Coverage optimization and navigation efficiency Dirt detection and adaptive cleaning behaviours Failure handling and recovery strategies Demonstrated ability to solve complex AI/system-level problems independently Experience mentoring engineers on: ML integration and system design best practices Experimentation methodologies (A/B testing, simulation vs real-world validation) High proficiency with GenAI-assisted development workflows : Accelerating ML pipeline development Automating testing, debugging, and documentation Strong architectural and design skills Strong communication and stakeholder management skills