Software Engineer III, Cloud TPU Compiler

Job description

In most instances, this position requires in-person interviews as part of the hiring process.
Minimum qualifications:
• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
• 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging).
• Experience in C++.
Preferred qualifications:
• Master's degree or PhD in Computer Science or related technical fields.
• Experience with ML frameworks, such as PyTorch/XLA/Pallas/GPU/TPU programming.
• Experience with compilers, machine learning optimization, distributed machine learning.
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.
Google’s revolutionary Cloud TPUs were designed from the ground up to accelerate machine learning workloads, providing the computational power to train and run cutting-edge machine learning models in a fraction of the time and cost conventionally required. TPUs have been wildly successful internally at Google. With our Cloud TPU service, it's easy to take your existing ML workloads (PyTorch, JAX, etc.) and move them to the cloud to take advantage of this great capability.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge 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 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.
• Collaborate with other Google teams and leading researchers across the industry to continuously bring cutting-edge ML capabilities to our PyTorch-in-Cloud offering.
• Help with design, development, testing deploying and maintaining software.
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 .