Minimum qualifications:
- Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
- 8 years of experience in designing and developing large-scale distributed systems and software.
- Experience with C++, networking, packet forwarding architecture, system design, systems infrastructure.
Preferred qualifications:
- Experience with Cloud Networking, TCP/IP, software-defined networking.
- Experience with packet forwarding and handling, multicast, SmartNICs and high performance data path designs and implementations.
- Experience in leading teams and projects.
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.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
- Architect, design and implement data path engines a core component running within Google Cloud Platform (GCP) Virtual Machines (VMs).
- Provide technical leadership to multiple data path application teams. Work with team leads and managers for individual projects to help determine roadmaps, architecture, designs and deliverables.
- Design, develop and create the USPS engines, the heart of our data path applications.
- Own and lead customer visible cloud multicast, Machine Learning (ML) networking capabilities. Innovate and contribute to a project with huge potential for cloud and ML networking.
- Support internal and external customers on issues they face, and guidance for individual teams in this endeavor.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
