Senior Software Engineer, TorchTPU
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Minimum qualifications:
- Bachelor's degree in Computer Science or related technical field, or equivalent practical experience.
- 5 years of experience in software development.
- Experience programming in C++.
- Experience in leading cross-functional software oriented projects from inception to delivery.
Preferred qualifications:
- 5 years of experience with data structures and algorithm.
- Experience with ML frameworks (e.g., TensorFlow, JAX, PyTorch), and hardware performance analysis with TPUs and GPUs.
- Experience programming in Python.
- Experience with compilers and compiler construction.
- Ability to effectively navigate and communicate in a fast-moving environment.
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.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. 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.
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, 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.
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Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
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