Research Software Engineer, Distributed Systems, Artificial Life, Pi

ph3Minimum qualifications: /h3 ul liBachelor's degree in Computer Science, a related technical field, or equivalent practical experience. /li li2 years of experience in software development, with a focus on distributed computing and parallelizable infrastructure. /li liExperience scaling systems from single-CPU runs to distributed environments. /li liExperience with infrastructure optimization and resource management. /li /ul h3Preferred qualifications: /h3 ul liMaster's degree or PhD in Computer Science, Artificial Intelligence, or a related field. /li liExperience with evolutionary algorithms, machine learning research, or artificial life simulations. /li liExperience building infrastructure that interfaces with real-world programming benchmarks (e.g., LeetCode, code golf). /li liDemonstrated ability to handle the increased complexity and geographical segregation of populations within digital ecosystems. /li /ul h3About the job /h3 pGoogle'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. /p pWith your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. /p pParadigms of Intelligence (Pi) is an interdisciplinary research team exploring the fundamental building blocks of intelligence. One of our major projects, seeks to develop radically open-ended artificial-life systems for program evolution to demonstrate the emergence of foundational-evolution. /p pIn this role, you will apply your expertise in distributed simulations to manage massive-scale environments for frontier machine learning research. You will build modular, efficient infrastructure for running and analyzing artificial life simulations, supporting self-replicating systems that learn to solve complex problems within their ecological niche. /p pGoogle Research addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day. /p pOur teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field -- we publish regularly in academic journals, release projects as open source, and apply research to Google products. /p h3Responsibilities /h3 ul liBuild large-scale simulations and manage distributed computing infrastructure to scale digital ecosystems and experiments. /li liCreate modular infrastructure capable of running experiments with trillions of generated programs and complex interactions. /li liOptimize compute usage and efficiently manage significant CPU resource requirements across shared infrastructure. /li liImplement efficient scheduling, resolve job failures, and ensure that massive-scale runs execute reliably. /li liProvide dedicated engineering support to accelerate data analysis and the launching of new experiments. /li /ul pInformation collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy. /p pGoogle 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. /p pIf you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form. /p pGoogle 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. /p pEquity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right. /p /p #J-18808-Ljbffr