Senior Staff Software Engineer, AI Workload Management

Company: Google
Location: Cupertino
Posted on: January 10, 2026

Job Description:

Minimum qualifications: Bachelors degree or equivalent practical experience. 8 years of experience in software development. 7 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture. 5 years of experience with design and architecture and testing or launching software products. 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. 5 years of experience in a technical leadership role leading project teams and setting technical direction. 3 years of experience working in a matrixed organization involving cross-functional, or cross-business projects. Familiarity with infrastructure automation tools and concepts. Ability to quickly assimilate knowledge in machine learning and AI, with a focus on understanding the underlying hardware and software stacks. About the job Googles 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. Were 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. With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. 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. Were the driving team behind Googles groundbreaking innovations, empowering the development of our AI models, delivering unparalleled computing power to global services, and providing the platforms that enable developers to build the future. From software to hardware, our teams are shaping the future of hyperscale computing, with teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more. 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. The US base salary range for this full-time position is $248,000-$349,000 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. Responsibilities Define a multi-year technical strategy for AI infrastructure that bridges the gap between high-level business goals and engineering needs, and build the foundational control plane building blocks required to support AI/ML workloads at scale. Lead the integration of infrastructure with industry-standard orchestrators like Kubernetes, Slurm, and Ray to ensure seamless workload management. Oversee the development of critical system logic, including resource scheduling, configuration distribution, and state management for massive clusters. Translate vague requirements into concrete, scalable technical solutions while contributing back to the global open-source community. Scale the engineering organization by mentoring talent into leadership roles, mitigating operational risks, and driving cross-functional alignment with key partners to deliver unified software stacks.

Keywords: Google, Mountain View , Senior Staff Software Engineer, AI Workload Management, IT / Software / Systems , Cupertino, California