Staff SWE, ML Compiler Performance Engineer Co-Design

Job description

info_outline 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. The MARC (Model Architecture and Realizable-performance Co-design) team is Google’s proactive, ahead-of-silicon co-design engine. We operate at the critical intersection of frontier ML workloads and multi-year TPU silicon roadmaps. Given rapid 6-month model breakthroughs and complex Compound AI Systems, our mandate is to focus on the 12+ month time window between Hardware Architecture Freeze and Physical Silicon Pilot.

In this role, you will define and own the strategy for enabling open-source ML models to achieve TPU performance with internal models at launch. You will establish a principled, scalable methodology to analyze mapping gaps across open-source model families. 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.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US

$207000 - $300000 (USD) + 20% bonus target + equity + benefits Learn more about benefits at Google .