Software Engineer, Performance, Reliability, Observability, PhD, Early Career

Minimum qualifications:

• PhD degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
• Experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).

Preferred qualifications:

• Experience with performance analysis tools and techniques (e.g., profiling, tracing).
• Experience working with data structures or algorithms during coursework/projects, research, internships, or practical experience in school or work (e.g. open-source coding).
• Proficiency in programming languages like C, C++, or Go.
• Knowledge of operating systems and computer architecture.
• Excellent research, problem-solving, and communication skills.

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 key member of a small and versatile team, you design, test, deploy and maintain software solutions.

We are developing unified debugging, profiling, and analytics tools for our customers, ranging from dashboards to debug individual request managing traces, to in-depth cross-component analysis of system behavior. We are exploring options of using machine learning to automate anomaly detection in Google Cloud control plane systems.

Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

• Conduct in-depth performance analysis of VMs, identifying critical bottlenecks, and developing performance models.
• Work closely with other engineers and researchers, communicating research findings and contributing to technical documentation.
• Design and conduct benchmarks to evaluate the effectiveness of proposed optimizations.
• Develop and patent novel optimization techniques.
• Share research results with the broader community through publications.