Senior System Solution Test Engineer

Shape the future of intelligent robotics. Deliver quality that customers can trust.

Are you passionate about robotics, AI, connected products, and solving complex system-level challenges? We are looking for a Senior System Solution Test Engineer to play a critical role in bringing world-class robotic products to market.

In this role, you will be the independent quality advocate for next-generation robotic systems, ensuring every product delivers exceptional reliability, performance, and user experience. Working across hardware, software, AI, cloud, connectivity, and mobile applications, you will influence product quality from concept through launch and beyond. The role also supports the organization's growing focus on robotic product quality and system stability testing. 

What You'll Do

Drive End-to-End System Verification

• Lead system-level verification and validation activities for robotic products.

• Develop and execute test strategies covering functionality, reliability, performance, robustness, and customer experience.

• Validate navigation, mapping, obstacle avoidance, docking, charging, cleaning performance, OTA software updates, connectivity, and ecosystem integrations.

• Execute laboratory, simulation, and real-world testing to ensure products perform reliably in diverse customer environments.

Validate AI and Intelligent Product Features

• Test AI-powered capabilities including computer vision, object detection, hazard recognition, autonomous decision-making, voice control, and natural language interactions.

• Design validation methods for machine learning-based features and intelligent robotic behaviors.

• Evaluate AI performance, accuracy, robustness, and edge-case scenarios using structured test methodologies.

Drive AI-Powered Test Innovation

• Design and deploy AI-powered test solutions to improve test coverage, execution efficiency, and defect detection.

• Leverage AI and machine learning technologies to accelerate test case generation, test data creation, log analysis, defect triaging, and quality insights.

• Develop intelligent testing approaches for robotic products, mobile applications, cloud services, and connected ecosystems.

• Evaluate emerging AI testing tools and technologies to improve engineering productivity and quality outcomes.

• Collaborate with software, data, and AI teams to build scalable, data-driven quality solutions and advanced test automation capabilities.

Collaborate Across Engineering Teams

• Partner with software, electronics, systems, AI, cloud, mobile application, and product teams to identify risks early and improve product quality.

• Drive defect investigation, root cause analysis, and verification of corrective actions.

• Provide objective quality assessments and evidence-based recommendations for release readiness decisions.

Advance Test Automation & Continuous Improvement

• Expand automation coverage through simulation, Hardware-in-the-Loop (HIL), regression, endurance, and fault-injection testing.

• Improve test efficiency, repeatability, and scalability through innovative engineering solutions.

• Contribute to best practices, reusable test frameworks, and continuous quality improvement initiatives.

What We're Looking For

Essential Qualifications

• Degree in Engineering, Computer Science, Robotics, Mechatronics, or a related technical discipline.

• Strong experience in system testing, verification, validation, or quality engineering for complex products.

• Experience with robotics, embedded systems, IoT, connected products, or consumer electronics.

• Good understanding of system integration, defect management, and release-quality processes.

• Strong analytical, problem-solving, and communication skills.

• Ability to work effectively in cross-functional and global engineering environments.

Preferred Experience

• Robotic vacuum or autonomous mobile robot development and testing.

• SLAM, LiDAR, ToF sensors, computer vision, AI, or machine learning systems.

• Python, automation frameworks, simulation platforms, or Hardware-in-the-Loop (HIL) environments.

• Mobile applications, cloud ecosystems, Wi-Fi, Bluetooth, Matter, or smart-home technologies.

Bonus Points If You Have

• Experience applying AI or Generative AI technologies to software testing and quality engineering.

• Experience with AI-assisted test automation, test generation, defect prediction, or quality analytics solutions.

• Familiarity with Large Language Models (LLMs), AI agents, or intelligent automation platforms.

• Experience developing scalable test frameworks using AI, machine learning, or data analytics technologies.

Why Join Us?

This is an opportunity to work at the forefront of Robotics, AI, and Intelligent Quality Engineering.

You'll help shape the future of both robotic products and testing methodologies by combining advanced system verification with AI-powered test innovation. Working alongside talented engineers across robotics, software, AI, and cloud domains, you'll solve challenging real-world problems that directly impact customer experience and product quality.

What You'll Gain

• Opportunity to work on advanced robotics and AI technologies.

• Exposure to global engineering and product teams.

• Ownership of complex technical challenges and quality initiatives.

• Hands-on experience developing AI-powered testing solutions.

• Career growth in a collaborative environment focused on innovation and engineering excellence.

If you're passionate about robotics, excited by the potential of AI in quality engineering, and motivated to build smarter testing solutions for intelligent products, we'd love to hear from you.

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.