Software Engineer III, Engineering Productivity, Pixel Wearables
2 weeks ago
- Bachelor's degree or equivalent practical experience.
- 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
- 2 years of experience building developer tools (e.g., compilers, automated releases, code design and testing, test automation frameworks).
- Experience applying artificial intelligence solutions to real-world problems.
- Master's degree or PhD in Computer Science or a related technical field.
- 2 years of experience with data structures or algorithms in either an academic or industry setting.
- 2 years of experience with performance, large-scale systems data analysis, visualization tools, or debugging.
- Experience developing accessible technologies.
- Experience in code and system health, diagnosis and resolution, and software test engineering.
- Experience with Generative AI technology.
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
As a part of the Pixel Wearables Test Engineering team, you will be responsible for delivering exceptional quality for products like the Google Pixel Watch through testing. As a core contributor, you will develop solutions that ensure products meet the highest quality standards.
The Google Pixel team focuses on designing and delivering the world's most helpful mobile experience. The team works on shaping the future of Pixel devices and services through some of the most advanced designs, techniques, products, and experiences in consumer electronics. This includes bringing together the best of Google's artificial intelligence, software, and hardware to build global smartphones and create transformative experiences for users across the world.The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities:
- Build AI/ML solutions, including agent-based workflows and Retrieval-Augmented Generation (RAG) systems, to power features like automated test plan generation, AI-assisted debugging, and bug fix validation plans.
- Partner with Test Engineers to understand their workflows and translate needs for testing user scenarios into technical requirements and polished software solutions.
- Create and integrate front-end components and dashboards to provide intuitive user interfaces for interacting with tools and visualizing test coverage reports.
- Drive ownership of key components within our testing frameworks and toolchain, leading them from conception and design through to deployment and maintenance in a production environment.
- Evaluate new AI technologies and software engineering practices to continuously enhance the capabilities and architecture of our testing tools.
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