2 months ago
Shenzhen, ChinaStaff+
Responsibilities
- Lead the design and architecture of advanced robotics and AI-driven systems.
- Drive development of autonomous navigation, perception, scene understanding, and intelligent decision-making capabilities.
- Define and lead the AI/ML strategy for robotics platforms, particularly intelligent vacuum systems.
- Architect multimodal perception, autonomous decision-making, behavioral intelligence, continuous learning, and edge AI systems.
- Lead the ML lifecycle across data collection, labeling, governance, training, evaluation, deployment, and monitoring.
- Establish standards for ML reliability, safety, explainability, and OTA deployment.
- Evaluate and operationalize emerging technologies including foundation models and vision-language models for robotics.
- Set technical direction, review critical AI/ML designs, manage technical risks, and support product roadmaps.
- Mentor senior and junior engineers and build organization-wide technical capability.
- Establish safe and effective GenAI practices using tools such as Copilot and Anthropic to improve engineering productivity and quality.
Requirements
- 8+ years of experience in robotics software, AI, or embedded systems, including 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 through deployment.
- Deep expertise in robot autonomy, multimodal vision and LiDAR perception, SLAM, mapping, and semantic scene understanding.
- Strong knowledge of reinforcement learning, adaptive systems, self-supervised learning, and foundation models applied to robotics.
- Proven experience scaling ML platforms and pipelines, including data strategy, training, validation, evaluation, and ML deployment pipelines.
- Advanced expertise in edge AI optimization, including hardware-aware tuning and latency, accuracy, and power trade-offs across CPU, GPU, and NPU systems.
- Domain expertise in vacuum robotics or autonomous consumer products, including intelligent cleaning behaviors and personalization.
- Demonstrated ability to define AI/ML technical strategy and roadmaps and influence teams as a robotics AI/ML subject matter expert.
- Proven leadership in technical direction, mentorship, capability building, and delivering complex systems to production.
- Advanced experience scaling GenAI tools across teams and establishing best practices for Copilot and Anthropic usage.
- Strong communication and stakeholder management skills.
Categories
ML EngineeringRobotics
About Dyson
Dyson designs and sells consumer appliances and electronics, including bagless vacuum cleaners, air treatment products, haircare tools, hand dryers, lighting, and home robots, for households and commercial settings. The family-owned company was founded in 1993 by Sir James Dyson and has its global headquarters in Singapore, selling through its own stores, online, and major retailers in more than 80 markets.