Senior Staff Software Engineer, Borglet

Provide technical leadership on high-impact projects. Manage project priorities, deadlines, and deliverables.Facilitate alignment and clarity across teams on goals, outcomes, and timelines. Influence and coach a distributed team of engineers.Lead a team of engineers focussed on designing, implementing, and analyzing low-level computer systems and their interactions with the kernel and hardware; collaborating with partner teams as well as users across Google (e.g., cluster management team, ML teams, hardware platform teams, SRE teams, Google Cloud).Minimum qualifications:Bachelor’s degree or equivalent practical experience.8 years of experience in software development.7 years of experience leading technical project strategy, ML design, and working with industry ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).Experience with security operating systems, distributed systems, Kernel, operating systems, network virtualization, and virtual machines.Preferred qualifications:Master’s degree or PhD in Engineering, Computer Science, or a related technical field.5 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 with Linux, GPU Drivers, and GPU Programming.Experience with system software, distributed systems, and complex multi-component software systems.Familiarity with the Linux kernel interface and containers.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.Borglet is a closely-knit team of 130+ SWEs. Our team builds a high performance, reliable and efficient Borglet for Google Cloud, Core and ML usecases. We're part of the broader Borglet team, Google's node management agent. We’re a strong, systems-heavy team that works closely with cluster management software, the kernel, with hardware platforms and user applications. This places us in a key position in infrastructure projects and has enabled us to play a critical role in our fast-growing Google Cloud business.Borglet plays a critical role in Google’s internal infrastructure and new Cloud & ML business by managing our fastest-growing resources. Come join a growing team making impactful contributions to Google's infrastructure and developing what is likely the most sophisticated cluster management system in the world.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $262000 - $365000 (USD) + 25% bonus target + equity + benefitsLearn more about benefits at Google.Bachelor’s degree or equivalent practical experience.8 years of experience in software development.7 years of experience leading technical project strategy, ML design, and working with industry ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).Experience with security operating systems, distributed systems, Kernel, operating systems, network virtualization, and virtual machines.