Machine Learning Compiler Software Engineer, TPU Horizontal Scaling
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Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- Candidates will typically have 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
- Candidates will typically have 2 years of experience with data structures or algorithms.
Preferred qualifications:
- Master's degree or PhD in Computer Science, or a related technical field.
- Experience in Machine Learning and High Performance Computing (HPC).
- Experience optimizing programs at distributed scale.
- Experience in C++.
- Experience in compilers.
- Ability to debug and program concurrent/parallel computations.
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.
With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
Our team develops the Accelerated Linear Algebra (XLA) TPU/GPU parallelizing compiler used to partition, optimize, and run large-scale machine learning models across multiple TPU/GPU accelerators for internal and external customers. The XLA Horizontal Scaling team’s software stack includes the XLA Single Program Multiple Data (SPMD) partitioner, collective and scheduling optimizations, and code generation.
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
- Write product or system development code.
- Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
- Contribute to a compiler which scales-out machine learning models across accelerators such as Tensor Processing Unit (TPU)/Graphics Processing Unit (GPU) at Google and Cloud.
- Conduct static and runtime performance analysis of important large-scale production models.
- Design and implement performance optimizations and critical features, which increase the velocity of important production teams.
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Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
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.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
This job is no longer accepting applications
See open jobs at Google.See open jobs similar to "Machine Learning Compiler Software Engineer, TPU Horizontal Scaling" Out for Undergrad.