Software Engineer, Borglet Infrastructure

Staff Software Engineer, Borglet Infrastructure

Google, Sunnyvale, CA, USA

Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.

• 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.

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• Experience with system software, distributed systems, and complex multi‑component software systems.
• Experience in reliability, efficiency, and scale, as well as in developing and releasing system software products and C/C++ programming.
• Familiarity with the Linux kernel interface and containers.
• Understanding of key concepts of performance analysis and tuning.
• Excellent data analysis and SQL skills.

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.

Our team empowers Google’s compute infrastructure by delivering management of critical resources within Borglet (e.g., CPU, memory, and related types), serving Google Compute Engine (GCE) fleets. As part of the broader Borglet team, Google’s node management agent, we are a systems‑heavy group that works closely with cluster management software, the kernel, hardware (HW) platforms, and user applications. This places us in a key position for infrastructure projects and enables us to play a critical role in our fast‑growing Google Cloud business.

The ML, Systems, and Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, You Tube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.

We prioritize security, efficiency, and reliability across everything we do — from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.

The US base salary range for this full‑time position is $197,000-$291,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job‑related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

• Provide technical leadership for designing, implementing, and analyzing low‑level computer systems and their interactions with the kernel and hardware.
• Collaborate with partner teams as well…