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.

As a Staff Software Engineer, you will have expertise in ML compilers and runtimes. You will have management and leadership experience and strong partnership skills to enact impact leveraging cross-organizational technical collaborations.

This organization provides ML infrastructure for all of Google. In close partnership with Research, this organization delivers the Gemini models, and drives their usage within and outside Google. Within this organization, the Machine Learning Infrastructure Runtime and API teams mission is to deliver highly performant, modular and scalable ML software infrastructure.

The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud’s mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers.

Responsibilities

• Exercise judgment to guide sustainable engineering choices for ML systems at scale.
• Innovate next directions for infrastructure over a 12-month time horizon given a rapidly changing technology landscape.
• Deliver impactful capability and optimization impact to Cloud and partner product areas.
• Gracefully and incrementally migrate existing frameworks (TensorFlow, JAX, PyTorch) runtimes (TF Executor, TFRT, PJRT) and product areas custom workflows (AdBrain) onto ML Runtime, minimizing any user disruption.
• Partner with GDM to transfer key innovations into products developed by your team and partner teams.