Tuyển Dụng Thực Tập Sinh Kỹ Sư Phần Mềm Nhiều Vị TríCÔNG TY TNHH INTEL PRODUCTS VIỆT NAM

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.