Staff Software Engineer, Borg Control Plane

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development, and with data structures/algorithms.
• 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
• Experience in cross-functional collaboration and working across boundaries.
• Experience working with Python, C++, or Go.

Preferred qualifications:

• Experience in designing large-scale, distributed systems.
• Experience in software engineering and familiarity with C++.
• Experience with agile project management.
• Experience building infrastructure, simulation, emulation, and developer tools to increase developer productivity.

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.

Our team is responsible for the core Borg components such as Scheduler, Rescheduler, and Lumos (Simulation Infra). We are organized into two tracks: Infrastructure and Products.

The Infrastructure track is responsible for improving the platform's scalability and performance to ensure the functioning of our feature development and operations.

The Products track is responsible for all Borg Product-related needs, including a consistent and delightful end-to-end user experience, efficiency, and reliability.

The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, 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.

Responsibilities

• Lead a team of software engineers to deliver the whole life-cycle of services to design, develop, test, deploy, maintain and improve software.
• Own strategic outcomes for projects/programs by planning, communicating, designing, and directly contributing to them.
• Partner with cross-functional peers to influence systems, processes and programs.
• Provide technical and execution guidance to other engineers on the team.
• Work with Product Areas to understand requirements, oversee mapping of requirements into engineering deliverables.