美图AI Product Intern—Brazil Market

We are now looking for a Deep Learning Software QA Engineer Intern!The position is in NVIDIA Deep Learning Software Quality Assurance team that defines, develops and performs tests to validate robustness and measure the performance of NVIDIA‘s Deep Learning software and GPU Infrastructure for autonomous driving, healthcare, speech recognition, natural language processing, and a wide variety of other AI scenarios. This team collaborates with multiple AI product teams to develop new products; derive and improve complex test plans; and improve our workflow processes for a diverse range of GPU computing platforms. You should grow with being in the critical path supporting developers working for billion-dollar business lines as well as intimately understanding the values of responsiveness, thoroughness and teamwork. You should constantly foster and implement efficiency improvements across your domain. Join the team which is building software which will be used by the entire world! What you’ll be doing: • Be responsible for functionality, compatibility, and performance tests in NVIDIA AI SW stack release. • Develop, maintain, and improve test automation infrastructure with using AI tools. • Work with development teams to triage issues, root cause analysis, verify fixes, define new tests, improve test plans.

We are now looking for a Deep Learning Software QA Engineer Intern!The position is in NVIDIA Deep Learning Software Quality Assurance team that defines, develops and performs tests to validate robustness and measure the performance of NVIDIA‘s Deep Learning software and GPU Infrastructure for autonomous driving, healthcare, speech recognition, natural language processing, and a wide variety of other AI scenarios. This team collaborates with multiple AI product teams to develop new products; derive and improve complex test plans; and improve our workflow processes for a diverse range of GPU computing platforms. You should grow with being in the critical path supporting developers working for billion-dollar business lines as well as intimately understanding the values of responsiveness, thoroughness and teamwork. You should constantly foster and implement efficiency improvements across your domain. Join the team which is building software which will be used by the entire world! What you’ll be doing: • Be responsible for functionality, compatibility, and performance tests in NVIDIA AI software stack release. • Develop, maintain, and improve test automation infrastructure with using AI tools. • Work with development teams to triage issues, root cause analysis, verify fixes, define new tests, improve test plans.

1.参与智能座舱产品海外本地化工作。 2.参与实车体验，对多语种的海外智能座舱界面交互做质量把控，走查并解决界面适配问题。 3.参与内部本地化工具、AI翻译的产品设计，负责内部产品的体验优化及指标提升。 4.协助产品经理完成其他的如产品体验，竞品调研，用户运营，项目进度跟进等工作。 1. Facilitate the localization of the smart cockpit product (car infotainment) for the overseas market; 2. Participate in real vehicle testing, perform quality control for multi-language smart cockpit interface interactions, identify and resolve interface adaptation issues; 3. Contribute to the product design of internal localization tools and AI translation, and optimize the user experience and metrics of internal products; 4. Assist the product manager with other tasks such as product testing, competitive research, user operations, and tracking project progress.

We are looking for a Senior Product Manager intern to deep dive GenAI and Large Language Model (LLM) and their application to JP ecommerce. As a successful candidate, you will have experience deep diving new business areas, gathering industry trends, conducting business analysis, applying business judgements and providing fact based recommendations. You have a strong bias toward data driven decision making, tech driven solution designing and an innate ability to understand how metrics relate to business problems and to each other. You should be comfortable with an extremely high degree of ambiguity, can work across a wide cross section of stakeholders, and relish the idea of solving challenging problems. You will tackle novel, situations every day and given the size of this initiative, you’ll have the opportunity to work with Amazon teams around the globe.