Dyson
Linkedin · Posted 9d ago
Lead Connectivity Engineer
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Indexed description
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.
- 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.
- Experience 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.
- Be familiar with software quality assurance and related key techniques/tools.
- Critical thinking and problem solver.
- Strategic thinking as able to design proportionate, risk-based test coverage for in-house and supplied components.
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