Staff Software Engineer, GCE Node
Indexed description
- 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 designing, building, and maintaining large-scale distributed systems.
- 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 an organization involving cross-functional, or cross-business projects.
Google Compute Engine (GCE) is the foundation of Google Cloud Platform, providing infrastructure-as-a-service (IaaS) to millions of customers worldwide.
In this role, you will be responsible for innovating at scale in virtualized storage, networking, telemetry, and customer workload management. Your role will have a direct impact on the continued success of GCE by ensuring scalable, and 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
- Build the world's most innovative compute infrastructure solutions that enable business growth for various AI/ML, specialized and general purpose virtual machine (VMs).
- Provide a long-term goal to provide training, interference and high computing VM families. This entails owning responsibility of enabling the technology to deliver these VM families, ensuring their availability, reliability, and performance, working closely with partner teams to realize the goal.
- Set clear product expectations with teams and leadership individuals based on their level and role and aligned to the broader organization's goals.
- Design, guide and vet systems designs within the scope of the broader area, and write product or system development code to solve ambiguous problems.
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