Lead Robotics Software Engineer

About the role

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. The Lead Robotics Software Engineer is a technical leader responsible for driving innovation, architecture, and delivery of advanced robotics systems. This role combines deep technical expertise with strategic influence, shaping the direction of intelligent robotics capabilities across products.

Responsibilities

• Lead the design and architecture of advanced robotics and AI-driven systems
• Drive development of cutting-edge capabilities in:
• Autonomous navigation and behaviour
• Perception and scene understanding
• Intelligent decision-making systems
• Support technical roadmap for robotics features in collaboration with product and architecture teams
• Lead algorithm development, evaluation, and optimization
• Identify technical risks and define mitigation strategies
• Act as subject matter expert (SME) and set technical standards
• Mentor senior and junior engineers; elevate team capability
• Drive experimentation, prototyping, and innovation initiatives
• Influence cross-team decisions and ensure alignment to product strategy
• AI/ML Responsibilities
• Define and lead the AI/ML strategy for robotics platforms , particularly for intelligent vacuum systems
• Architect scalable AI systems , including:
• Perception stacks (multi-modal: vision + LiDAR)
• Autonomous decision-making and behavioural intelligence
• Continuous learning systems (on-device + cloud integration)
• Drive innovation in:
• Advanced perception (semantic mapping, object understanding)
• Reinforcement learning / adaptive behaviour systems
• Predictive and personalized cleaning intelligence
• Lead end-to-end ML lifecycle at scale :
• Data strategy (collection, labeling, governance)
• Training infrastructure and evaluation frameworks
• Deployment pipelines (CI/CD for ML, OTA updates)
• Establish engineering standards and best practices for:
• ML system reliability, safety, and explainability
• Edge AI deployment and monitoring
• Evaluate and introduce emerging AI technologies :
• Foundation models applied to robotics
• Vision-language models for contextual understanding
• Act as technical authority :
• Review and approve critical ML/AI design decisions
• Mentor senior engineers in AI system design
• Drive organization-wide productivity through GenAI enablement :
• Standardize use of tools like Copilot/Anthropic across teams
• Define best practices for safe and effective GenAI usage
• Improve engineering velocity, code quality, and innovation throughput
• About You
• 8+ years in robotics software, AI, or embedded systems (with leadership experience)
• Expert-level proficiency in C++ and Python , with strong architectural design capability for AI-driven robotics systems
• Extensive experience delivering end-to-end AI/ML systems at production scale (from data to deployment)
• Deep expertise in robot autonomy stack + AI systems :
• Multi-modal perception (vision + LiDAR fusion)
• SLAM, mapping, and semantic scene understanding
• Autonomous decision-making and behavioural intelligence
• Strong knowledge of advanced AI techniques :
• Reinforcement learning (RL), adaptive systems
• Self-supervised learning, foundation models applied to robotics
• Proven track record in scaling ML platforms and pipelines :
• Data strategy (collection, labeling, governance)
• Training, validation, and evaluation frameworks
• CI/CD pipelines for ML and OTA (over-the-air) deployment
• Advanced expertise in edge AI system optimization :
• Hardware-aware model tuning (CPU/GPU/NPU)
• System-level trade-offs (latency vs accuracy vs power consumption)
• Strong domain expertise in vacuum robotics or autonomous consumer products :
• Intelligent cleaning behaviours and personalization
• Robust operation across diverse real-world environments
• Demonstrated ability to define AI/ML technical strategy and roadmap
• Recognized subject matter expert (SME) in robotics AI/ML with influence across teams
• Proven leadership in mentoring senior engineers and technical leaders
• Advanced experience leveraging and scaling GenAI tools across teams :
• Establishing best practices for Copilot / Anthropic usage
• Driving measurable improvements in engineering productivity and quality
• Ability to evaluate and operationalize emerging AI technologies into product advantage
• Demonstrated leadership in:
• Technical direction setting
• Mentorship and capability building
• Strong track record of delivering complex systems to production
• Strong communication and stakeholder management skills

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