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 Fault Management team applies first principle, data-motivated understanding of hardware failures to reduce failures and minimize their impact.

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

• Focus on crafting software/firmware solutions that fortify the reliability of servers and their components, spanning x86 CPU, memory subsystems, peripheral component interconnect express (PCIe)/compute express link (CXL) input/output link covering host and endpoints, and software components.

• Partner across multiple teams and job ladders to influence the design and implementation of most compute and storage systems powering Google's data centers.

• Drive every facet of development, from requirements definition to design, implementation, unit testing, and integration. Oversee meticulous reviews to guarantee the delivery of high-quality solutions.

• Plan and manage resources, and tools to execute against a comprehensive roadmap that advances our reliability goals.

• Promote collaborations with vendors and represent the fault management software team in project planning discussions with executive management.

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.

• Experience with C++, SQL, and SQL Pipelines.

Preferred qualifications

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.

• 8 years of experience with data structures and algorithms.

• 3 years of experience in a technical leadership role leading project teams and setting technical direction.

• 3 years of experience working in a matrixed organization involving cross-functional, or cross-business projects.

• Experience with Reliability, Availability, and Serviceability (RAS) related data pipelines, and dashboards.