Lead Connectivity Engineer

Key Responsibility: Analyze project scope, technical risks, and requirements to define project-level test strategies.

Deploy sophisticated software & electronic testing solutions to ensure efficient verification of requirements.

Design and lead comprehensive test strategy & plans and oversee their execution, including robot behaviors and other categories of AI/ML related intelligence features.

Adapt plans as project scope or architecture evolves.

When new technologies are introduced (e.g., IoT, machine learning), identify their unique testing needs.

Identify the test related technical problems, design a solution to fix the problem.

Assess third-party suppliers’ and partners’ test strategies, processes, and software quality metrics Define clear quality criteria and acceptance standards for third-party deliverables.

Set expectations around required documentation, defect rates, test coverage, and code quality metrics.

Collaborate directly with third-party engineers or QA lead reviewing test documentation, results, and metrics to ensure alignment with Dyson standards.

Drive integration testing plans to verify that third-party components work seamlessly with whole systems.

Provide feedback, raise concerns early, and hold suppliers accountable for agreed quality benchmarks.

Key Skill/Experience: A degree in Electronic Engineering, Computer Engineering, Data Science, or in related fields.

Familiarity with embedded systems, IoT, or real-time operating systems.

Good knowledge about AI/ML, and related test experience, such as tackling complex challenges involving multi-layered data sets and refining existing automation libraries and frameworks.

Robust programming abilities, particularly in python.

Excellent attention to detail, exceptional communication abilities, technical leadership, and the capacity to thrive independently in a fast-paced setting.

Well-versed in Agile software engineering development, test, software security development lifecycle.

with IOT products software test, including embedded software, app, cloud, data analytics and so on.

Able to work in fast-paced environment and delivery quality under minimal supervision.