Associate Software Engineer, Silicon, gReach Program for People with Disabilities (장애인 채용)
at Alphabet
Posted 5 hours ago
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- South Korea
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As a gReach Associate, you will work on Google's Edge TPU Compiler team to analyze and improve compiler quality and performance, including optimization decisions, correctness, and compilation time. You will help map generative AI models and other key workloads to Edge TPU instructions and develop parallelization and scheduling algorithms to optimize compute and data movement for ML workloads. You will collaborate with Edge TPU architects, ML model developers, researchers, and other hardware/software teams to accelerate the transition from research ideas to user experiences running on the Edge TPU. The program is a 12-month paid upskilling opportunity for early-career professionals with disabilities, offering on-the-job training and potential pathways to future roles at Google.
Associate Software Engineer, Silicon, gReach Program for People with Disabilities (장애인 채용)
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Google welcomes people with disabilities.
Minimum qualifications:
- Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
- Experience writing and testing code in C++.
Preferred qualifications:
- Master's degree or PhD in Computer Science, or a related technical field.
- Experience programming in C++.
- Experience in optimizing ML models for inference.
- Compiler development experience in the context of accelerator-based architectures.
- Interest in software performance, memory management, and code efficiency.
- Ability to communicate in Korean fluently in order to interact with local stakeholders.
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.
gReach Associates will be placed in teams across different product areas. Participants will have the opportunity to be exposed to career opportunities at Google and further sharpen their professional skills. gReach Associates will learn to make an impact by working with teams on business-critical projects and collaborating with Googlers across a variety of functions. We welcome aspiring individuals who are willing to grow as professionals through the learning experience at Google.
As a gReach Associate, you will work on one large project, complete a few smaller projects, or do the day-to-day work to support the business. You will contribute to the business, collaborate with others, and have the opportunity to add long-lasting value beyond the conclusion of their gReach program. You will closely work with a host manager and team members who will help identify project goals, while also inspiring, mentoring, and supporting the professional development of the gReach program.
Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology.
Responsibilities
- Work as part of the Edge TPU Compiler team, including analyzing and improving the compiler quality and performance on optimization decisions, correctness, and compilation time.
- Work on efficient mapping of generative AI models and other key workloads into Edge TPU instructions through the compiler.
- Develop parallelization and scheduling algorithms to optimize compute and data movement costs to execute ML workloads on the Edge TPU.
- Work with Edge TPU architects to design future accelerators, the hardware, software interface, and co-optimizations of the next generation Edge TPU architectures and closely collaborate with ML model developers, researchers, and Edge TPU hardware/software teams to accelerate the transition from research ideas to user experiences running on the Edge TPU.
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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.
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