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.
Google Compute Engine is the foundation of Google Cloud Platform delivering Infrastructure as a Service to Google Cloud customers. The GPS-x86 team plays a critical role in building industry best general purpose slice of hardware VM offerings meeting performance and feature requirements of our customers. We take a holistic approach to engage in product definition, develop innovative technologies and work closely with partners to ensure GCE is the best platform for their workloads.
The demand for large-scale AI/ML is transforming computing. As we move beyond the limits of traditional scaling, we are building the foundational infrastructure for the next generation of AI. You will have an opportunity to drive innovations for Google's AI/ML platforms, shaping the future of our GCE and creating a lasting impact globally.
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 team 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 $174,000-$252,000 + 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
- Lead the introduction and delivery of new x86-based Google Compute Engine (GCE) VM families (NPIs), ensuring on-time launch and adherence to performance goals on Intel and AMD platforms.
- Analyze, debug, and optimize VM performance, minimize latency, and enhance customer workload efficiency.
- Develop and improve software components, tests, and qualification processes within the GCE node stack to increase reliability (MTBF) and performance consistency of x86 VMs.
- Provide engineering support for generally available VM families, addressing customer-reported issues, performance regressions, and production incidents.
- Collaborate cross-functionally with teams to integrate new technologies and improve the x86 host stack.
Qualifications
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 5 years of experience with software development in one or more programming languages.
- 5 years of experience with Infrastructure as a Service (IaaS).
- 3 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
- 3 years of experience with reliability or quality engineering or similar.
- 3 years of experience with virtualization.
Preferred qualifications:
- Master's degree or PhD in Computer Science or related technical field.
- 5 years of experience with data structures and algorithms.
- 1 year of experience in a technical leadership role.
- Experience with Virtual Machines (VMs) or other Cloud technologies.
- Experience with system architecture.
- Expertise in virtualization technologies, and systems programming.