SAPSAP China iXp Intern - Quality Engineer Intern - Xi'an

• Understand the fullchip working flow and build infrastructure for better automation, efficiency.  • Work in a combined design and verification team and develops test facilities for quality assurance.  • Work closely with multiple teams within organizations such as Architecture, Micro- Architecture, and FW.

About Us Anker Innovations is a technology company dedicated to creating industry-leading smart devices for entertainment, travel, and smart homes. At the forefront of AI innovation, we develop reliable, high-quality AI applications to enhance the quality of care and provide exceptional user experiences. We are seeking driven individuals who are passionate about technology to help build cutting-edge, consumer-facing solutions. Job Summary We are seeking an AI Intern with a focus on JD-AI (Joint Deep AI) Engineering to join our dynamic team. In this role, you will assist in the design, development, and deployment of deep learning models for edge IoT devices. You will collaborate with AI engineers to optimize models and applications for real-time image and video processing on embedded systems. This internship provides a unique opportunity to gain hands-on experience with cutting-edge AI technologies in the rapidly evolving field of smart devices and IoT. Key Responsibilities - Assist in the development, testing, and optimization of AI models for tasks such as object detection, segmentation, tracking, and action recognition. - Contribute to the enhancement of model performance for improved customer satisfaction and operational efficiency. - Help implement AI model compression techniques to deploy models effectively on IoT embedded platforms. - Collaborate with an agile development team to meet project requirements and deadlines. - Write clean, maintainable, and scalable code with a focus on performance and extensibility. - Support the maintenance of organized technical documentation throughout the project lifecycle.

We are looking for someone to be passionate about quality assurance. You’ll collaborate with multi-functional groups. Test Development Engineers (Intern) at NVIDIA aren't only manual testers, you will be using AI development tools to improve quality and productivity across the end-to-end QA workflow. We'd like to see your ability to identify weak spots and constantly craft better and creative test plans to break software and identify potential issues byusing AI development tools with good programming skills. You'll have a huge impact on the quality of NVIDIA's enterprise product. What you’ll be doing: • Utilizing AI-powered tools to enhance QA efficiency, including optimizing test coverage, identifying high-risk areas in software systems, automating test case generation, defect detection, and regression testing. • Work closely with multi-functional teams to understand the test requirements and take ownership of product quality. • Develop test plans, design test cases, complete testing via automation and/or manually and compose test reports. • Build and maintain our complicated test environments. • Manage bug lifecycle and co-work with inter-groups to drive for solutions. • You will assist in the architecture, crafting and implementing of SWQA test frameworks. • Report bugs found during execution, assist with reproduction and debugs to understand root cause, verify bug fixes provided by R&D team, raise if not fixed. • Experience in using AI development tools. Adept at creating detailed test cases, automating them, increasing code coverage, identifying valid bugs early on, and solving these bugs swiftly.

During this internship, you will have the opportunity to: Software Development * Develop high-quality, secure, maintainable code using Java/Kotlin and React/TypeScript/JavaScript * Design scalable, fault-tolerant distributed storage, indexing, and query systems * Build distributed systems for high-speed, large-scale predictions * Understand Lucene search engine principles and applications AI Integration * Apply artificial intelligence and machine learning techniques to boost search relevancy and performance * Contribute to our agent framework by advancing context management and skill service capabilities that enable automatic intelligent data analysis and optimize user interactions. Development Lifecycle * Practice product development, deployment, security review, and release processes * Participate in requirement discussions and propose technical solutions * Learn AWS cloud services Collaboration * Work with global development teams on code development and review * Collaborate with cross-disciplinary teams to design and launch innovative products