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 Cloud HPC and Accelerator Networking team (CHiPCAN) delivers the guest networking stack for Google Cloud's GPU, TPU, and HPC virtual machines (VMs). Customers training the models or running demanding HPC workloads need high-performance, reliable networking on their GCE VMs and GKE clusters. Every VM in the Cloud needs to connect to the world and other VM’s. Our team makes that happen by producing high-performance networking devices and virtualizing the core connection between the in-guest driver and the host services and networking infrastructure.

In this role you will partner across many organizations to define and deliver the next generation of VMs and bare-metal hosts that Google Cloud's key customers will use to train frontier models, run inference, and otherwise advance the state-of-the-art in next generation AI computing.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

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

• Provide technical leadership on high-impact projects.

• Facilitate alignment and clarity across teams on goals, outcomes, and timelines.

• Design, develop, test, deploy, maintain, and enhance large-scale software solutions.

• Lead the specification, design, and delivery of the networking experience for the next generation of these accelerator machines in Google Compute Engine (GCE).

• Drive critical, high-impact, revenue-attached products and features.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.

• 5 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.

• 5 years of experience testing, and launching software products.

• 3 years of experience with software design and architecture.

• Experience with Cloud compute platforms (Kubernetes, Cloud Functions).

Preferred qualifications

• Experience with Tensor Processing Units in Google Kubernetes Engine.

• Experience designing and building with core infrastructure services from Google Cloud Platform.

• Experience collaborating across software and hardware teams, to deliver critical infrastructure products and features.

• Comfortable across the cloud infrastructure technical stack from APIs to containers to system-level details like Peripheral Component Interconnect Express (PCIe).