2027届-数据分析实习生，车辆固件-上海

职位描述

What to Expect  Vehicle Firmware is where code meets physics. Millions of Tesla vehicles generate rich telemetry from chassis, drive, and thermal systems daily — data that reveals how our vehicles actually perform in the real world.  You'll work with firmware engineers, dive into vehicle telemetry, and uncover insights that directly influence brake control, motor optimization, and thermal management. Your work will help ship firmware that makes vehicles safer, more efficient, and more reliable.    What You'll Do  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    What You'll Bring  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.

任职要求

• Python
• Go
• SQL
• Docker
• Kubernetes