Lead Robotics Software Engineer
Dyson · Shenzhen
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
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.
Key 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
#LI-MDB
Dyson is an equal opportunity employer. We know that great minds don’t think alike, and it takes all kinds of minds to make our technology so unique. We welcome applications from all backgrounds and employment decisions are made without regard to race, colour, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other any other dimension of diversity.