Senior Staff Software Engineer, AI Workload Management

Google Inc.; Sunnyvale (CA); On-site; USD 248,000 - 349,000; Full time

Job summary

A leading tech company is looking for a Senior Staff Software Engineer to develop AI workload management systems. The ideal candidate will manage project priorities and deliverables, requiring 8+ years in software development and technical leadership roles. Responsibilities include defining technical strategies for AI infrastructure and integrating with industry-standard orchestrators. Candidates must have a Bachelor's degree or equivalent experience and knowledge of machine learning. Competitive salary range from $248,000–$349,000, plus bonuses and benefits.

Qualifications

• 8 years of experience in software development.
• 5 years of experience with software products design and architecture.
• 3 years of experience in cross-functional projects.

Responsibilities

• Define a multi-year technical strategy for AI infrastructure.
• Lead integration with orchestrators like Kubernetes and Slurm.
• Scale the engineering organization by mentoring talent.

Skills

Software development

Large-scale infrastructure systems

Technical leadership

Machine learning and AI knowledge

Education

Bachelor's degree or equivalent practical experience

Master’s degree or PhD in Engineering or Computer Science

Tools

Kubernetes

Slurm

Ray

Job description

Senior Staff Software Engineer, AI Workload Management

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info_outline X Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Kirkland, WA, USA; Sunnyvale, CA, USA.

• Bachelor's 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

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.

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.

We're the driving team behind Google's 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. Learn more about benefits at Google .

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.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‑to‑be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.