Senior Staff Software Engineer, Genai, Performance Engineering

Senior Staff Software Engineer, GenAI, Performance Engineering

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. The Machine Learning (ML) Strategy and Allocation Committee (MLSA) Technical Core Team is a central technical body responsible for shaping the future of Google's AI by optimizing the vast ML compute resources. As Google's investment in AI accelerates, the efficient allocation, strategic alignment, and technical governance of the ML fleet are paramount to the success. In this role, you will develop the frameworks, policies, and technical strategies that ensure the ML compute capacity is aligned with Google's strategic priorities, used with maximum efficiency, and operates as a consistent, exceptional system. The AI and Infrastructure team is redefining what's possible. 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 force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

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

• Lead technical analysis across Google's ML infrastructure (including training, serving, and scheduling) to identify opportunities for efficiency gains, cost optimization, and improved resource utilization. Develop data-driven proposals and recommendations for executive leadership.
• Partner with executive technical leads across serving, training, scheduling, and fleet management to establish and drive technical governance.
• Collaborate with MLSA leadership to translate Google's strategic AI priorities into a concrete technical roadmap for the ML compute resources, ensuring the capacity planning and allocation strategies support critical initiatives.
• Serve as a key technical consultant and guide for Product Areas (PAs) and engineering organizations. Help them navigate MLSA policies, optimize their capacity consumption, and align their roadmaps with Google's overall ML strategy.
• Develop and advocate technical proposals for new frameworks, tools, and systems that enable more efficient and dynamic allocation of ML resources.

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.