Staff Software Engineer, Server System Software, Platforms Infrastructure

GooglePublished 1 hours agoFirst seen 1 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 provide the infrastructure that makes Google run.

PIE engineers design and build the software, hardware, computing platforms and networking technologies that power all of Google’s services.

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 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 team 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.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

  • Lead critical, high-impact software initiatives in a fast-paced environment, overseeing project priorities, deadlines, and core deliverables.
  • Apply deep expertise across computer architecture, BIOS, firmware, kernel, and full-stack software to power and scale fleet-level infrastructure.
  • Lead early system board bring-up, troubleshooting, triage, and data center deployment by developing automated tools for diagnostics, reliability, and performance evaluation.
  • Coach, mentor, and influence a distributed team of engineers to elevate code quality, versatility, and overall engineering excellence.
  • Partner with internal and external stakeholders to align on goals, outcomes, and roadmaps, successfully executing engineering programs and driving continuous productivity improvements.

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 with C++, Linux, Shell Scripting, Python, Operating Systems, Bootloaders, Firmware, Leadership, 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 one or more of the following: Computer Architecture, Continuous Build, Continuous Deployment, Continuous Integration and GPU Drivers.