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Nvidia Senior Web Software Engineer - Frontend China, Shanghai 843122130
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In this role, you will collaborate with a diverse team of user experience designers, DevOps, IT and security engineers as well as machine learning, deep learning experts. You will create human-in-the-loop and management applications at the frontier of what is possible in machine learning today and getting a front seat view of the action in this very hot space from a team and a company driving the progress at the cutting edge.
Build the next generation AI Infrastructure including data ingestion, data indexing, data labeling, visualization, dashboards, data viewers and much more.
Work very closely with our AI Infra team in Santa Clara to align on techniques, code, practices, projects, etc.
Make innovations on products and processes.Your role will be full of learning opportunities and you are provides with plenty of excitements and rewards as we roll from concept to production.
What we need to see:
BS or MS in computer science or a related field.
3+ years of experience in software especially web applications development.
Extensive and solid data structure, algorithm, programming knowledge and skills.
Strong technical background in frontend applications development and release.
Strong expertise in at least several frontend skills: Javascript, Typescript, Angular, React, HTML5, CSS3, ES6, gRPC, REST.
Well versed in agile methodology.
Experience in software shipping cycles (dev, deploy, release, CI).
Being passionate and curious about new technologies. Being highly motivated and self-driven. You take pride in your work and strive to achieve incredible results and have excellent planning and communication skills.
Ability to work successfully with multi-functional teams, principals and architects. Coordinates effectively across organizational boundaries and geographies.
You can speak very fluent English.
Experience with full-stack knowledge and skills, especially Golang, Python, SQL, RDBMS, Microservices,etc.
Being familiar with AWS/Aliyun/Tencent Cloud, etc.
Knowledge of Deep Learning related infrastructure.
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