Senior Software Engineer, TorchTPU

Minimum qualifications:

• Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages (e.g., C++, C, or Python).
• Experience in leading cross-functional software oriented projects from inception to delivery.

Preferred qualifications:

• 5 years of experience with data structures and algorithms.
• Experience with ML frameworks (e.g., TensorFlow, JAX, PyTorch) and hardware performance analysis, particularly with TPUs and GPUs.
• Experience with Compilers and Compiler construction.
• Experience programming in Python.
• Ability to effectively navigate and communicate in a fast-paced environment.

About the job:

Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. 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 Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. 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.

The Core ML team contributes to frameworks and compilers that support the Google Cloud Platform (GCP) Cloud TPU service and related ML models/frameworks. It provides ML infrastructure customers (both external and internal to Google) with large-scale, cloud-based access to Google’s first-party ML supercomputers (TPUs and TPU Pods) to run 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.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s 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.

Responsibilities:

• Work on AI framework development to successfully enable PyTorch models to run on Google Cloud's Tensor Processing Units (TPUs) and Graphics Processing Units (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, driving innovation and breakthroughs.
• Enable PyTorch models at massive scale for generative models, computer vision (image recognition, object detection, image generation), machine translation, language modeling, rankings and recommendations, speech recognition, etc.
• Collaborate with other Google teams and leading researchers across the industry to continuously bring ML capabilities to our PyTorch-in-Cloud offering.
• Contribute to open-source software development.