**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. + 2 years of experience building developer tools (e.g., compilers, automated releases, code design and testing, test automation frameworks). **Preferred qualifications:** + Master's degree or PhD in Computer Science or related technical fields. + 2 years of experience with data structures or algorithms. + 2 years of experience with low level ML accelerator programming, compiler or other close to hardware performance programming. + Experience in profiling workloads, identifying and introducing performance optimization. + Experience with C++. 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 team develops scaling, communication and parallelization capabilities for XLA, leading and the most advanced ML compiler in the industry. With our features XLA generates programs capable of running on thousands of TPU, GPU or other accelerators. XLA powers all Google’s internal ML workloads and is a preferred choice for external AI companies for its advanced performance, usability and open source nature. The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world. We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers. The US base salary range for this full-time position is $141,000-$202,000 + 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 (https://careers.google.com/benefits/) . **Responsibilities:** + Deliver compiler parallelization features and optimization techniques for TPU backend necessary for large scale workloads. + Contribute to collective operation lowering/implementation on TPU platform. + Develop compiler optimization techniques at lower level and throughout the compiler stack. + Analyze upcoming and existing features in TPU architectures and leverage them for most optimal horizontal scaling performance. + Build compiler related tools for debugging and preventing scaling issues and improving engineering experience. 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 https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.