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