GENERAL REQUIREMENTS
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.
BENEFITS
- 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
JOB DESCRIPTION
- 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
JOB DESCRIPTION
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.
Responsibilities:
- 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.
REQUIREMENTS
- 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)
JOB DESCRIPTION
- 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)
JOB DESCRIPTION
- 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)
JOB DESCRIPTION
- 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.