职位：Global Manufacturing &Ops SDE Intern
· 毕业时间：2026年10月 - 2027年7月之间毕业的应届毕业生
· 入职日期：2026年6月及之前
· 实习时间：保证一周实习4-5天全职实习，至少持续3个月
· 工作地点：上海
· 投递须知：
1 填写简历申请时，请把必填和非必填项都填写完整。提交简历之后就无法修改了哦！
2 学校的英文全称请准确填写。中英文对应表请查这里（无法浏览请登录后浏览）https://docs.qq.com/sheet/DVmdaa1BCV0RBbnlR?tab=BB08J2
Amazon Devices Asia team is looking for a passionate, hard-working, and talented Software Development Engineer who can build innovative & mission critical system software applications & tools. You will have an enormous opportunity to make a large impact on the design, architecture, and development of consumer products. You will be responsible for delivery and support of large-scale, multi-tiered, distributed software applications and tools.
The primary responsibility of this role is developing AI-based automation technology operations platforms. This position requires the candidate to design and develop highly scalable user interfaces, data structures, algorithms. Candidate needs to collaborate with teams of smart engineers in the design, implementation, and deployment of features and system.

Basic Qualifications

• Currently enrolled in a Bachelor’s or Master’s Degree in Computer Science, Computer Engineering, or related field at time of application.
• Knowledge of the syntax of languages such as Java, C/C++ or Python.
• Knowledge of Computer Science fundamentals such as object-oriented design, algorithm design, data structures, problem solving, and complexity analysis.
• Understanding of basic AI/ML algorithms, Coursework or project experience in artificial intelligence or machine learning.
• Strong written and verbal communication skills in Chinese and English

Preferred Qualifications

• Academic projects or coursework involving GenAI, LLMs, or Agentic AI systems.
• Experience in GenAI and Agentic AI system/tool development.
• Previous technical internship(s), if applicable.
• Experience with distributed, multi-tiered systems, algorithms, and relational databases.
• Experience in optimization mathematics such as linear programming and nonlinear optimization.
• Ability to effectively articulate technical challenges and solutions.
• Adept at handling ambiguous or undefined problems as well as ability to think abstractly.
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