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
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.
Skills Required
- 8+ years in robotics software, AI, or embedded systems with leadership experience
- Expert-level proficiency in C++
- Expert-level proficiency in Python
- Extensive experience delivering end-to-end AI/ML systems at production scale (data to deployment)
- Deep expertise in robot autonomy stack including multi-modal perception (vision + LiDAR), SLAM, mapping, and semantic scene understanding
- Strong knowledge of advanced AI techniques: reinforcement learning, self-supervised learning, and foundation models applied to robotics
- Proven experience scaling ML platforms and pipelines: data strategy, labeling governance, training/validation frameworks, CI/CD for ML, OTA deployment
- Advanced expertise in edge AI system optimization and hardware-aware model tuning (CPU/GPU/NPU), latency vs power trade-offs
- Domain expertise in vacuum robotics or autonomous consumer products and robust real-world operation
- Demonstrated ability to define AI/ML technical strategy and roadmap and act as SME influencing cross-team decisions
- Proven leadership mentoring senior and junior engineers and elevating team capability
- Experience leveraging and scaling GenAI tools (e.g., Copilot, Anthropic) and defining best practices for safe use
- Strong communication and stakeholder management skills with track record delivering complex systems to production
Dyson Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Dyson and has not been reviewed or approved by Dyson.
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Healthcare Strength — Medical, dental, and vision offerings are broad, paired with company‑paid life and disability coverage, plus EAP, backup care, and wellness incentives. Employer‑funded healthcare dollars and premium‑discount or Lifestyle Spending Account options further enhance coverage value.
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Retirement Support — A 401(k) with a company match is consistently advertised on U.S. postings. This provides predictable retirement support across roles.
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Wellbeing & Lifestyle Benefits — Wellbeing programs, commuter benefits, and notable product discounts supplement core coverage. Wellness incentives and a Lifestyle Spending Account expand lifestyle support beyond medical plans.
Dyson Insights
What We Do
At Dyson we are focused on solving the problems that others have ignored; solving them first using our technology and ingenuity. In order to achieve this we need to pioneer technologies that are different and authentic. This is the core of what we do and who we are. We must strive to create the future, every single day by developing new things, different things, things that go against the grain with a diverse and global team of ingenious minds. Dyson employs over 14,000 people and is present in more than 80 countries. And while we are growing fast we want Dyson to remain a start-up in spirit with the freedom of experimentation and learning, constantly reinventing our products as well as reinventing how we work, how we sell and how we support our owners. At the same time we are working through the James Dyson Foundation, James Dyson Award and Dyson Institute to inspire future engineers and pioneering a new approach to engineering education. Underlining everything we do in this diverse environment is the need to always show respect, supporting each other as one team to overcome whatever challenges we encounter. We drive empowerment, development and equality in an inclusive environment for our people around the world. The future doesn’t just happen, we look to make it happen, to achieve leaps through pioneering new ideas
