About the job

Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. 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 Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. 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 (GCE) is the foundation of Google Cloud Platform, providing Infrastructure as a Service (IaaS) to the customers globally.

In this role, you will be responsible for innovating in virtualized storage, networking, telemetry, and customer workload management. You will have a direct impact on the success of GCE by infrastructure that powers virtual machine instances and bare metal solutions.

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.

Responsibilities

• Develop compute infrastructure solutions that enable business growth for multiple Artificial Intelligence/Machine Learning (AI/ML), specialized and general purpose Virtual Machines (VMs).

• Build goals to provide training, interference and computing VM families. Own end-to-end responsibility of enabling the technology to deliver the VM families, ensuring their availability, reliability, and performance, and work with partner teams to realize the goals.

• Mentor the team to expand new capabilities that extend the immediate project.

• Set and communicate team priorities that support the organization's goals. Align strategy, processes, and decision-making across teams.

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

Minimum qualifications

• Bachelor's degree or equivalent practical experience.

• 8 years of experience with programming in C++.

• 5 years of experience with design and architecture; and testing or launching software products.

• Experience in managing and optimizing performance for large-scale computing infrastructure.

• Experience in managing architectural patterns and best practices for production environments.

• Experience with performance optimization, concurrency, and memory management in system programming.

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.

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

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