Staff Software Engineer, TorchTPU

Staff Software Engineer, TorchTPU at Google Join to apply for the Staff Software Engineer, TorchTPU role at Google. Minimum qualifications Bachelor’s degree or equivalent practical experience. 8 years of experience in software development. 5 years of experience testing and launching software products, and 3 years of experience with software design and architecture. 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). Preferred qualifications Master’s degree or PhD in Engineering, Computer Science, or a related technical field. 8 years of experience with data structures/algorithms. 3 years of experience in a technical leadership role leading project teams and setting technical direction. 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects. Experience with compilers or ML frameworks. 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 we 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. The Core ML team contributes to frameworks and compilers that support the GCP Cloud TPU service and related ML models and frameworks. It provides ML infrastructure customers 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. Our team is responsible for the PyTorch ML framework, processes, ecosystem, and 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. The US base salary range for this full-time position is $197,000-$291,000 + 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. Learn more about benefits at Google. Responsibilities Work on AI framework development to 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, managing 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 cutting-edge 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 workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form. Seniority level Not Applicable Employment type Full-time Job function Information Technology and Engineering Industries Information Services and Technology, Information and Internet #J-18808-Ljbffr