OpenNash Jobs
Tesla · 上海市, 中国

NVH实习生-上海

上海市, 中国

Listed on Tesla’s official careers site. Listed as of October 19, 2026. Check that it is still open and apply there.

Apply on Tesla’s careers site →

Job description

THE ROLE As a Mechanical Design Engineer Intern, NVH with our Noise, Vibration, Harshness team, you will play a critical role in the development of the next generation Tesla products. You will test, analyze and optimize the revolutionary vehicle designs. You will be an innovative and skilled problem solver – using all analytical tools available to you.

RESPONSIBILITIES

  • NVH static test (mode test, transfer function test, etc.).
  • NVH dynamic test (on road data recording).
  • NVH analysis on structural/ road/ wind noise, thermal/DU vibration. Etc.
  • NVH test lab and facility management.
  • Contribute directly as the NVH team coordinator to ensure successfully execution.

REQUIREMENTS

  • Bachelor or master’s degree in mechanical engineering, manufacturing, vehicle engineering, materials engineering, industrial.
  • Have driver license(C2) is a must.
  • Have experience to use NVH data recording tools, like LMS, Head,N-Modal or any local facility for vibration, sound data collecting.
  • Have experience or knowledge in vibration & noise basis.
  • Have model correction experience or knowledge also preferred (Including Test & CAE for model correction).
  • Have positive working attitude, strong practical ability.
  • Excellent time management skills.
  • English speaking proficiency. This job application may involve an interview with an interviewer outside of Tesla China.

If you complete your application, you agree Tesla provides your application information to overseas interviewers in Tesla, Inc. for recruitment purposes. More details and contact information please see here. (here hyperlink: https://app.mokahr.com/social-recruitment/tesla/46129#/)

More jobs at Tesla

OpenNash lists jobs from employers’ own careers sites and does not handle applications. Dates come from the employer where stated; “first seen” and “last checked” are our own observations.