特斯拉2027届-质量中心数据算法工程师-上海

工作描述

职位介绍：
作为质量数字化团队核心成员，承接工厂质量保证条线数字化与智能化目标。致力于应用数字思维和智能工具为质量部下辖团队革新生产力工具，链接质量上下游团队打造覆盖产品全生命周期、全业务链的质量数字生态，用数据驱动质量改进与降本增效决策。

岗位职责：
Contribute to quality digital strategy and priority programs; deliver forward-looking, innovation-led, data-driven digital solutions.
Deep-dive quality operations; analyze manufacturing, equipment, and vehicle data; proactively identify high-value use cases and co-design business solutions; own data and algorithm delivery. Use analytics to lift first-pass yield and reduce scrap, rework, and quality loss.
Productize reusable tools and Agent suites for high-repeat / complex workflows; orchestrate multi-agent systems (MAS) for end-to-end business-chain automation and ensure correct, high-adoption use by the business.
Drive high-value quality AI use-case discovery and pilots (e.g., visual inspection, anomaly alerting, defect root-cause assist); own evaluation, usage standards, and scale-out.
Grow into a deep-learning specialist in at least one domain and independently lead machine-vision inspection, time-series diagnostics, anomaly de…