Intelligent Vehicle R&D Engineer
update date :
2025-03-04
Job Title
Intelligent Vehicle R&D Engineer
Number of Positions
1
Job Responsibilities
- Conduct system requirement analysis and specification development for intelligent vehicles
- Prototype production, system assembly, and integration
- Plan and execute testing and verification
- Assist in the preparation of design, development, analysis, and testing documents
- Other tasks assigned by supervisors or department coordination
Job Requirements
- Bachelor's degree or higher in Mechanical Engineering, Automotive Engineering, Aerospace Engineering, Naval Engineering, or related fields
- Language Proficiency: English – Listening: Intermediate, Speaking: Intermediate, Reading: Intermediate, Writing: Intermediate
- Knowledge of system architecture, maintenance, and integration
- Understanding of vehicle development and testing concepts
- Proficiency in Microsoft Office software
- Familiarity with engineering software such as MATLAB/Simulink, NI LabVIEW, NX, etc.
- Experience in electric vehicle development is preferred
- Strong teamwork spirit and good communication skills
- Proactive in addressing engineering issues
Work Location
Ming Chi University of Technology Intelligent Vehicle Research Center
Salary
Negotiable
Application Documents
Please compile the following documents into a single PDF file in the specified order. Incomplete applications will be considered forfeited.
- Resume (with photo)
- Autobiography
- Copy of the highest education certificate
- Other supporting documents (e.g., English proficiency certificates, professional certifications)
- Personal Data Collection Notice and Consent Form (Search for "Personal Data Collection Notice and Consent Form - Ming Chi University of Technology" to download)
How to Apply
Send your application via email to: peiling@mail.mcut.edu.tw (Ms. Tsai)
- Email Subject: [Application] Intelligent Vehicle Research Center “Intelligent Vehicle R&D Engineer”
Other Information
- Application deadline: June 30, 2025
- Applications will be reviewed on a rolling basis, and shortlisted candidates will be notified for an interview as soon as possible.
- Applicants who do not pass the preliminary review or interview will not be notified, and application materials will not be returned.
Contact Person
Ms. Tsai
Phone: (02) 2908-9899 #3238