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.
In this role, you will have exposure to integrated AI infrastructure systems (GPU or TPU), from software to hardware design and workload management, to developing large-scale training and inference workloads, and optimizing performance. You will be building large AI clusters using the latest technologies for AI acceleration and cluster interconnects and networking.
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 $207,000-$300,000 + 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
- Drive project success by setting the technical goal and roadmap.
- Set priorities and projects for a team that delivers features in a changing environment for both internal customers (other engineering teams) and external customers.
- Ensure central responsibility is taken for diagnostics and troubleshooting of end-to-end supportability issues, to uncover and address technical problems, and the building of repair automation systems.
- Implement and govern the success metrics for the team, spanning Operational Plane metrics (e.g., Support case metrics, GSO case handling), and RMA/Spares metrics (e.g., swap and repair rate).
Qualifications
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience programming in C++.
- 5 years of experience testing, and launching software products.
- 5 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
- 3 years of experience with software design and architecture.
Preferred qualifications:
- Experience building cloud or systems level infrastructure spanning the entire hardware and software stack.
- Experience in end-to-end diagnostics, troubleshooting, and supportability, with experience leading SWAT team efforts for complex issues and developing long term sustainable solutions.
- Familiarity with Service Level Objectives (SLOs)/metrics measurement, logs/telemetry/metrics integration with tools for enhanced operator experience.
- Understanding of low-level system software, OS, firmware, low level networking, or hardware, etc., with a passion for building system skills.
- Ability to work in a changing environment and navigate ambiguity, and a track record of delivering solutions for subtle or complex technical problems.