Staff Software Engineer, Server System Software

Google•Apply•Published 8 hours ago•First seen 8 hours ago

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.

Platforms Infrastructure Engineering (PIE) operates within the Google Cloud umbrella. We are not like other Product Areas that produce specific products, but we provide the infrastructure that makes Google run.

In this role, you will design and build the software, hardware, computing platforms and networking technologies that power ALL of Google’s services. Google's computing platforms are the largest, most energy and cost-efficient distributed computing infrastructure in the world.

The Server Software team is responsible for designing and developing the firmware and software to bring up and run Google's custom designed Servers, Appliances, Switches and supporting these at scale in the fleet. We work closely with many partner teams within and outside of PIE.

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 channel 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

Provide technical leadership on high-impact projects.
Facilitate alignment and clarity across teams on goals, outcomes, and timelines.
Apply depth of knowledge across computer architecture, BIOS, firmware, and kernel to power a fleet at the scale of Google.
Early system board bring-up, troubleshoot, issue triage, and deploy servers to the data center by designing and implementing tools for automating diagnostics, performance evaluation, and reliability assurance for servers.
Mentor other engineers and improve the quality of engineering work in the broader team.

Minimum qualifications:

Bachelor's degree or equivalent practical experience.
8 years of experience in software development.
5 years of experience testing, and launching software products.
5 years of experience working with embedded operating systems.
3 years of experience with software design and architecture.
Experience in Linux, C++, Shell Scripting, Python, Operating Systems, Firmware, Linux Kernel, and Reliability.

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.
3 years of experience in a technical leadership role leading project teams and setting technical direction.
3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
Experience in Computer Architecture, Bootloaders, GPU Drivers, Continuous Build, Continuous Deployment, and Continuous Test.