2027届-数据分析实习生，车辆固件-上海

Answer firmware and vehicle behavior questions using telemetry, alerts, and logs — transforming raw data into actionable findings Navigate incomplete or conflicting data to deliver concise conclusions: what happened, confidence level, and next steps Partner with chassis, drive, and thermal engineers to define signals, time windows, and statistical approaches Use AI agents by default, verifying outputs against physics and the data Present findings in clear technical language

Must Have Expected start date: September 2026 or early October 2026 Availability: Minimum 4 months full-time, 5 days/week on-site in Shanghai; 6 months or above preferred Engineering sense — Vehicle systems, mechanical, electrical, controls, or related fields. You reason about how the vehicle behaves, not just how to query a table Critical thinking — You question metrics and obvious plots before concluding. Correlation isn't causation Comfort with messy data — logs, sensors, experiments, field data. You find signal in noise. SQL is useful, not the bar Fast learner — Quick to ramp up on internal systems and vehicle context AI-native — You use AI agents to move faster and verify their outputs rigorously Python proficiency — pandas, Jupyter, plots or similar Plus Vehicle dynamics, firmware, CAN bus, or controls coursework/projects What This Role Is (and Isn't) For you if: You want to be embedded with firmware engineers, doing analysis that influences product decisions. You care more about insight than infrastructure. Not for you if: You're primarily interested in building production data pipelines, Spark/Airflow workflows, or Docker/Kubernetes services. *Opportunity to convert to full-time: Possible with outstanding performance and passing the evaluation interview.