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 force 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.

The US base salary range for this full-time position is $147,000-$211,000 + 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

• Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.

• Review code developed by other engineers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).

• Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.

• Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.

• Write product or system development code.

Minimum qualifications

• Bachelor’s degree or equivalent practical experience.

• 2 years of experience in low level systems programming languages (e.g., C++ or C), or 1 year of experience with an advanced degree in an industry setting.

• 2 years of experience with working with embedded operating systems.

• 2 years of experience in Linux Kernel development with the programming language in C/C++.

Preferred qualifications

• Master's degree or PhD in Computer Science or related technical fields.

• 2 years of experience with data structures and algorithms in academic or industry setting.

• Experience with Linux kernel (e.g., building and configuring Linux kernels for embedded systems), and understanding kernel internals, such as virtual memory, interrupt handling, device drivers, etc.

• Experience in GPU programming.

• Experience with scripting languages (e.g., Python) and low level driver coding (e.g., C, C#, C.NET) and familiarity with Linux Shell scripting.

• Experience with high-performance computing.