锦鲤求职岗位描述
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.