Minimum qualifications:
- Bachelor's degree in Electrical Engineering, Computer Science, relevant technical field or equivalent practical experience.
- 2 years of experience with software development in one or more programming languages (e.g., C++/C, Java, Python, JavaScript).
- 1 year of experience with test automation development, test infrastructure development, workload regression testing.
Preferred qualifications:
- Master’s or PhD in Computer Science or a related technical field.
- 5 years of experience in test automation and infrastructure development using C++, Python, or Go.
- Experience with test infrastructure development, dashboard creation, and data visualization tools.
- Ability to explore and propose technical solutions to automation challenges, particularly regarding workload regression testing.
- Ability to have a strong commitment to quality and the delivery of results on schedule.
- Excellent problem-solving, consulting, and organizational skills.
About the job
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.The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
We're the driving channel behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
Responsibilities
- Develop, scale, and validate performance analysis infrastructure and measurement tools to ensure high-fidelity evaluation, data accuracy, and reliable regression testing across the fleet.
- Build and maintain comprehensive automation dashboards to provide real-time visibility into performance health and regression trends (data visualization). Triage regression failures and isolate components responsible for failure
- Enable automated execution for critical CPU, GPU, and TPU performance workloads to accelerate New Product Introduction (NPI) cycles.
- Scale benchmark coverage to include TPU/GPU NPI and Storage/Network System NPI.
- Partner with various cross-functional teams to drive systemic improvements to our performance automation and regression testing infrastructure.
