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工作类型: Full-time
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工作内容
Google welcomes people with disabilities.Minimum qualifications:
- Bachelor’s degree in Computer Science, Electrical Engineering, or equivalent practical experience.
- 2 years of experience with programming languages (e.g., Python, Java, or C/C++).
- 1 year of experience with software test engineering, consumer electronics, and developing test automation solutions.
- Experience with test strategies and methodologies, writing test plans, and creating stable automated test cases.
- Experience of working on low power, low memory devices and device validation techniques.
- Experience in consumer electronics or home automation.
- Strong track record of helping deliver software product features/consumer devices with passion for quality and automation.
- Understanding of sensor technologies, filtering/sensing algorithms, and validation techniques
- Understanding of sensor technologies, filtering/sensing algorithms, and validation techniques.
- Driven and detail-oriented with exceptional problem-solving and organizational skills.
Join the team of Software Engineers and Test Engineers working on shipping incredible new products and experiences in building a thoughtful home. In this team, you will work on unique problems and develop innovative solutions, infrastructure and tools for Google Nest products covering embedded systems that rely on sensors, machine learning, cloud connectivity, wireless communications, mobile applications, and cloud services.
Responsibilities
- Develop test strategy for new smart home products and features. Build a stable and reliable automated test suited to validate Google devices working together in a continuous integration system.
- Develop virtualization and device simulators based automated feature validation. Validate algorithms running on devices and validate improvements to ship high quality products.
- Develop test hooks to monitor code health and system stability. Identify key product indicators and build analytics that drive new features and improvements.
- Root-cause failures and indicate changes, through automated analysis.
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最后期限: 20-12-2024
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