Senior Staff Software Engineer, Torch TPU

Senior Staff Software Engineer, Torch TPU

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.

Our Core Machine Learning (ML) team develops the frameworks and compilers that power the Google Cloud Platform (GCP) Cloud Tensor Processing Unit (TPU) service. We provide customers with large-scale, cloud-based access to Google's custom ML supercomputers, enabling them to execute massive training and inference workloads using PyTorch and JAX. The PyTorch TPU team is responsible for the PyTorch ML framework/processes/ecosystem/model performance, as well as engagements with customers who take advantage of Google's TPUs to achieve massive scale and speed in their ML workloads. 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.

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

• Work on AI framework development to successfully enable PyTorch models to run on Google Cloud's TPUs and GPUs and tune for peak performance.
• Provide comprehensive support for ML frameworks and compilers on Cloud TPUs and GPUs, enabling the training and deployment of the most advanced machine learning models and driving innovation and breakthroughs.
• Enable PyTorch models at massive scale for generative models, computer vision, machine translation, language modeling, rankings and recommendations, speech recognition, etc.
• Collaborate with partner Google teams and leading researchers across the industry to continuously bring ML capabilities to our PyTorch-in-Cloud offering.
• Design, develop, test, deploy, maintain, and improve software while contributing to open-source software development.

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.