Tuyển Dụng Thực Tập Sinh Kỹ Sư Phần Mềm Nhiều Vị Trí 602 views


3rd/last year student with projects., Electronics, Computer Engineering, Robotics and Artificial Intelligence, Automation & Control, Mechatronics, Mechanical, Industrial Engineering, Industrial Management, Metrology, Information Technology, Computer Science, and/or related majors.

Additional qualifications include:

  • Strong verbal and written communication skills in English.
  • Demonstrated excellent problem-solving skills.
  • Familiarity with statistical data analysis techniques.
  • Familiar with data analysis using programming languages such as SQL, Python, R, etc. is an advantage.
  • Able to work onsite for 3-4 days per week.
  • Experience in semiconductor industry and manufacturing environment would be an added advantage.
  • Ownership mindset, detail-oriented, due diligent, good communication skill.


  • Attractive internship allowance
  • Training programs, opportunities to be involved in multinational projects.
  • Exciting extracurricular and sports programs for employees
  • Well-invested facilities, putting safety first.
  • Shuttle bus system at many places in Ho Chi Minh City, Binh Duong, Dong Nai…
  • High-quality cafeteria, lunch allowance, fruits, free drinks
  • Safe, stable and dynamic working environment

Process and Equipment Engineer Intern


  • Empowered to lead critical resolution of operational needs for the Assembly process and equipment.
  • Optimize advance process control systems to detect signals and automate containment
  • Define maintenance procedures, engage and partner with technicians and manufacturing teams to maintain equipment meeting highest standards.
  • Discover and enable new breakthroughs process and equipment improvements.
  • Engage and lead new technology and product transfers and integration.

Process and Equipment Engineer for AI/Machine Learning Intern


Objectives of this Role:

  • Manage and direct processes and research and development (R&D) to meet our AI strategy.
  • Understand company and client challenges and integrate AI capabilities to lead to solutions.


  • Work on functional design, process design, prototyping, testing, training, and defining support procedures.
  • Articulate and document solutions architecture and lessons learned for each exploration and accelerated incubation.


  • Pursuing a degree in Computer Science, Engineering, Robotic or related field.
  • Strong understanding of AI concepts, machine learning, and deep learning.
  • Proficiency in programming languages such as Python, C++, Bash, Bat, Linux/Ubuntu is a plus.
  • Excellent problem-solving skills and ability to work collaboratively in a multidisciplinary team.

Engineering Intern (Headcount)


  • Own Direct Observation to do model efficiency in department.
  • Collaborate 4 shift managers/ supervisors so that we execute headcount strategy, ensure department headcount strategy is connected and executed flawlessly.
  • Read factory planning and turn it to action plan of headcount planning in our department.
  • Own Over-Time monitoring and coordinate to shift reps to meet ONE GOAL.
  • Assist headcount project owners to complete it per task alignment.
  • Hiring coordination for department.
  • Work with suppliers to monitor so that supplier deliver KPIs in term of operation performance such as Attrition monitoring/ operation output, etc.

Engineering Intern (Cost)


  • Collaborate to Department Cost Representative to deliver Factory cost budget through projects and programs.
  • Review, improve, and optimize processing in term of Cost idea/ equipment project that contributes to factory efficiency.
  • Learn and apply LEAN/ Project management to do optimization across projects.
  • Join some Working Group to assist projects that related to equipment or process.
  •  Drive TEGT/Factory Cost process compliance.

Engineering Intern (Training/Lean)


  • Use MS Office 365 (Word, Excel, PowerPoint, Teams, Yammer, SharePoint, Automate, Visio, Power BI) to enhance Training & LEAN ecosystem to provide business service & quality practice to customer.
  • Improve & sustain work process, and Social System of Lean Culture // (communicating/reporting).
  • Learn and apply LEAN principles/practices to participate in improvement project.
  • Engage and practice with data science/data fluency to build measurement model for Growth & Training Effectiveness.
  • Exploring the relationship between LEAN/Learning Culture and Business Performance by self-developing Statistical Model.
  • Establish personal workflow/initiate process to work within Training & LEAN and external stakeholders.
  • Creation of digital contents with AI for skills that can result to training quality and reduced training TPT.
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  • Phone 083 736 3000

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