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
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
- 5+ years in robotics, embedded systems, or related domains
- Advanced proficiency in C++ and Python
- Hands-on experience developing and deploying ML models in production robotics environments
- Deep expertise in robotics perception and intelligence systems (object detection, segmentation, tracking)
- Experience with sensor fusion (camera, LiDAR, IMU) and navigation (SLAM, localization, motion planning)
- Experience with ML frameworks and deployment tools (PyTorch, TensorFlow, ONNX, TensorRT)
- Proven ability to deploy and optimize edge AI systems (quantization, pruning, real-time inference)
- Strong experience in data-driven development (dataset definition, labeling, telemetry-driven improvements)
- Domain knowledge in vacuum robotics / consumer robotics (coverage optimization, dirt detection, recovery strategies)
- Demonstrated ability to solve complex AI/system-level problems independently
- Experience mentoring engineers on ML integration and system design best practices
- High proficiency with GenAI-assisted development workflows (code generation, automated testing/documentation)
- Strong architectural and design skills
- Strong communication and stakeholder management skills
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
