SAPSAP China iXp Intern - Quality Engineer Intern - Xi'an
任职要求
- Bachelor’s degree or above in Computer Science, or Software Engineering.- Commitment of 3 days per week for 6-month internship on-site.- Experience in software quality assurance and testing.- Proficiency in manual and automated testing tools.- Strong coding skills for automated test development. Hands-on experience on Java/Python is preferr…
工作职责
SAP Adaptive Server Enterprise (ASE) is a highly optimized relational database management system for mission critical transactional processing and operational reporting. It delivered high performance at a low total cost of ownership and is designed to run on any standard hardware and operating system. SAP ASE is widely used in banking, stock trading, insurance and other data-intensive financial businesses. Now SAP ASE is being renewed for continuing supporting on-premise businesses and extending footprint to cloud as well. After join us, you will: - Focus on Software quality, performance and scalability.- Build a strong foundation in relational database concepts.- Contribute innovative new ideas to shape the product.- Develop test plans, test framework, test cases, and test scripts.- Perform manual and automated testing against on-premise products and cloud services.- Identify, document, and track software defects.- Collaborate with development teams to understand requirements and design effective test strategies.- Collaborate with development teams to reproduce and troubleshoot for the customer issues, and provide root cause analysis.- Investigate to adopt AI technologies to improve test efficiency.
• 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.
We are now looking for a Performance Engineer Intern to support our growing investments in perf testing of various company datacenter products and applications. Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world, all while striving to deliver the highest possible performance of our products.You will be part of global Performance Lab team, improving our capacity to expertly and accurately benchmark state-of-the-art datacenter applications and products. We also work to develop new scripts that enhance the team’s ability to gather data through automation and designing efficient processes for testing a wide variety of applications and hardware. The data that we collect drives marketing/sales collaterals as well as engineering studies for current and future products. You will have the opportunity to work with multi-functional teams and in a dynamic environment where multiple projects will be active at once and priorities may shift frequently. What you’ll be doing: • Benchmark, profile, and analyze the performance of AI workloads specifically tailored for large-scale LLM training and inference, as well as High-Performance Computing (HPC) on NVIDIA supercomputers and distributed systems. • Aggregate and produce written and visual reports with the testing data for internal sales, marketing, SW, and HW teams • Setup and configure systems with appropriate hardware and software to run benchmarks • Collaborate with internal teams to debug and improve performance issues • Develop Python scripts to automate the testing of various applications • Assist with the development of tools and processes that improve our ability to perform automated testing