New Grad Developer Programming jobs at Western Digital in Thailand

Today’s exceptional challenges require your unique skills. Together, we can build the future of data storage.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

• Assist in the development, testing, and maintenance of HDD manufacturing software applications using C#.
• Write and optimize SQL queries to manage and manipulate data in MS SQL databases.
• Collaborate with senior developers and cross-functional teams to understand system requirements and deliver solutions.
• Troubleshoot and resolve software issues in a timely manner.
• Participate in code reviews and contribute to continuous improvement of coding standards.
• Document software functionality and technical processes.
• Software deployment and evaluation of users’ feedback.
• Comply with project plans and industry standards.
• Work in a team with minimum supervision on a tight project deadline.

REQUIRED:

• BSc (Hons) in Computer Science or Information Technology ( or equivalent)
• Good knowledge in C#.NET, VB.NET, and LINQ
• Understanding of software development lifecycle and methodologies.
• Understanding of development to support abstract factory pattern with an object-oriented app approach
• Strong problem-solving skills and attention to detail.
• Good communication skills and ability to work in a team environment.
• Good knowledge of MS SQL Server
• Experience in DevOps (CI/CD)
• Familiar with containerized development (aka the Docker approach) and microservices architecture

PREFERRED:

• Interested in manufacturing-related environment
• Knowledge of other programming languages or frameworks
• Familiarity with version control systems like Git.
• Good in preparing test cases and executing test plan
• Ability to document requirements and specifications
• Experience in AI/ML implementation is optional
• Possess full-stack development skills

SKILLS:

• Demonstrate a good level of English proficiency (written/verbal).
• Strong listening, communication, interpersonal and relational skills to develop a good relationship within the organization
• Self-motivated with the ability to multitask and work collaboratively in a team environment

Today’s exceptional challenges require your unique skills. Together, we can build the future of data storage.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

• Collaborate with cross-functional teams to develop high-impact data science solutions that improve productivity and operations metrics
• Analyze large-scale data and develop machine learning/AI models to drive business value and improve KPIs
• Design, prototype, and implement machine learning models and algorithms to solve specific Manufacturing problems
• Researching and developing scalable computer vision and machine learning solutions for complex problems
• Create and maintain web applications to support data science initiatives and facilitate data-driven decision making
• Interpret actionable insights from data and metadata sources, communicating findings to stakeholders for product improvement
• Prepare and deliver presentations with data visualizations and business conclusions

REQUIRED:

• Bachelor’s degree in Computer Engineering, Software Engineering, Data Science, and Robotics & AI Engineering with relevant industry or academic experience in data analytics
• Proficiency in SQL, Big Data platforms, and cloud services (e.g., AWS)
• Strong background in applied statistics, statistical modeling, and practical experience with ML and AI algorithms.
• Required: Python, Tensorflow framework, Computer Vision
• Familiar with collaborative solutions, model & code versioning (Github), and solution packaging (Docker)
• Strong communication, analytical, and problem-solving skills.

PREFERRED:

• Knowledge of AI/ML model development and lifecycle management.
• Experience with cloud-based solutions and collaborative tools (e.g., Github, Docker).
• Experience in Computer Vision and image processing techniques.
• Experience in web development.
• Familiarity with advanced machine learning techniques (e.g., neural networks, NLP, deep learning).
• Ability to communicate complex technical concepts to non-technical stakeholders.
• Proactive approach to learning and implementing emerging technologies.

Today’s exceptional challenges require your unique skills. Together, we can build the future of data storage.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

• Assist in designing and developing AI models - focus on pattern recognition and GenAI augmented feature enhancement.
• Collaborate with data scientists, engineers and IT to integrate AI technologies into our systems.
• Conduct data analysis and ensure the quality of data used in machine learning models.
• Participate in code reviews and maintain standard coding practices.
• Help in researching new AI trends and techniques that could improve our current systems.

REQUIRED:

• Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field
• Basic understanding of machine learning algorithms and principles.
• Remark: Only for internship with duration of 6 months.
• Candidate is expected to work on site.

PREFERRED:

• Excellent problem-solving skills and ability to work in a team environment.
• Strong communication skills - Proficient in written and spoken English.
• A keen interest in artificial intelligence.

SKILLS:

• Strong programming skills in Python, R, or Java.
• Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., Scikit-learn, Pandas).

Today’s exceptional challenges require your unique skills. Together, we can build the future of data storage.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

• The role integrates within QA, ensuring high product quality, smooth operations overall organizational functions
• Work as Engineer and assist team leader in PQE to drive the activities to meet overall product quality requirement.
• Analyze quality performance utilizing using statistical and analytical tools and methods
• Improve and deliver high quality of new product. Work in the initiative projects such as Gen-AI

REQUIRED:

• Bachelor's degree in Engineering/Science or related field
• Experience in data analysis tools such as Power BI, Spotfire, SQL, Python, Tableau, Excel
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.

PREFERRED:

• Good communication skills to present findings in a clear and concise manner
• Experience with data visualization tools

SKILLS:

• Willingness to learn and adapt to new technologies
• Ability to work independently and as a part of a team

Today’s exceptional challenges require your unique skills. Together, we can build the future of data storage.

As the regional early career talent program manager, you are responsible for assisting functional managers in planning intern / NCG / early career talent and structuring talent management for succession within the organization. You will partner with Business Leaders, Technical Leaders, and Human Resources team to
AWARDearly career talent with an exceptional experience:

1. Analyze and determine intern / NCG / early career talent needs (i.e., head-count plan and skills) in the region.
2. Work with Human Resources to determine target university / industry groups for talent sourcing and incubation.
3. Arrange and implement technical development programs, processes, and training initiatives to support organizational strategies across HDD Operations Unit (OU) and Business Unit (BU).
4. Ready early career talent through engagement and leadership activities (i.e., mentorship, coaching, reverse mentoring, reverse classroom, employee resource group).
5. Develop relevant metrics to measure effectiveness of development programs and gather insights to fine-tune the intern / NCG / early career talent development program and engagement.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

• Consult on developing and deploying intern / NCG / early career talent strategy with business / functional leaders on a talent plan resulting in succeeding critical technical roles within the organization.

  • Collaborate with technical functional leaders in identifying required intern / NCG / early career talent headcount projections.
  • Partner with technical functional leaders in identifying core skills to be attained for intern / NCG / early career talent.
  • Partner with technical functional leaders in identifying and curating core elements in an intern / NCG / early career talent development plan.
  • Collaborate with learning specialists and learning management system (LMS) expertise to construct and deploy that development plan.
  • Define, develop, and deploy engagement programs for intern / NCG / early career talent, including participation in employee resource group (ERG) activities (e.g., We.Fuel), engaging intern / NCG / early career talent in developing training material (i.e., reverse classroom), and engaging intern / NCG / early career talent as coaches / mentors (i.e., reverse mentoring).
  • Measure effectiveness of development programs and engagement levels of intern / NCG / early career talent to provide insight to employee retention needs. This also includes conductive periodic listening sessions to gather feedback and suggestions for our talent development programs.
  • Program-manage intern / NCG / early career talent pipeline framework based on organization needs and technology changes.

• Partner with Human Resources team (e.g., Talent Acquisition, Talent Development and Inclusion, People Analytics, and HR Business Partners) to develop relevant policies and processes that enable and support an early career talent pipeline to succession planning. Utilize government funds / grants where applicable and available.

  • Collaborate with Functional Leaders and People Analytics team to analyze and chart intern / NCG / early career talent needs and demography across OU and BU.
  • Work with Human Resources University Relations team on collaboration projects, university engagement, curriculum influence, and talent market trends.
  • Assist HR Business Partners and Functional Leaders to understand talent development and management concepts, utilizing HR frameworks to address talent needs.
  • Collaborate with Total Rewards and Talent Development and Inclusion teams on intern / NCG / early career talent retention and rewards structure.
  • Collaborate with Human Resources and/or Government Relations team to understand availability of government funding support and application process and utilize available opportunities for people technical development purposes. This includes collaborative projects with varsity and vocational networks.

• Develop metrics to inform progress against talent strategy in support of critical technical role succession planning.

  • Learning transfer, knowledge capture, learning experience metrics.
  • Engagement metrics.
  • Skills metrics.

REQUIRED:

• Bachelor's Degree or equivalent certification in a Science / Technical Field or Human Resources Field; Master’s Degree preferred.
• At least 8-10 years of experience in technical position / work capacity, preferably in a manufacturing environment. Involvement in talent management or people development work would be a bonus. HR Business Partners to technical function leaders may consider applying.
• Good understanding of current curriculum in universities. Strong working relationship with local universities a bonus.
• Sufficient technical understanding of the HDD industry, products and competitive landscape strongly preferred.
• Proven record of influencing, leading and facilitating strategic initiatives with senior executive stakeholders.
• Exercises a global mindset and approaches differences with curiosity; experience working and navigating globally preferred.
• Operates with a consultative mindset, conducting diagnostics, developing strategies, and implementing solutions to enhance organizational effectiveness.
• Exhibits data fluency to deliver compelling insights for effective decision-making, partnering with analytics team in the process.
• Excellent communication, interpersonal and collaboration skills (including presentation skills) across levels to influence, build enthusiasm and enlist commitment.

• Talent Needs Analysis and Planning

  • Workforce Planning and Analytics: Training on analyzing headcount needs, forecasting, and skills gap analysis.
  • Strategic Workforce Planning: Courses focusing on aligning talent strategies with organizational goals.

• Talent Partnerships

  • University Relations: Best practices for building and maintaining relationships with academic institutions and industry groups.
  • Diversity and Inclusion in Recruitment: Strategies for fostering diverse talent pipelines.

• Program Development and Implementation

  • Instructional Design and Learning Experience Development: For designing technical development programs and engaging training initiatives.
  • Project Management for HR Professionals: Tools and frameworks to implement and manage training and development programs effectively.

• Engagement and Leadership Development

  • Mentorship and Coaching: To understand mentorship dynamics and how to foster meaningful engagement through coaching.
  • Leadership Development Programs: Training on developing leadership qualities in early-career professionals (e.g., reverse mentoring, creating leadership pipelines).

• Metrics and Program Evaluation

  • HR Analytics and Metrics: Training on defining, measuring, and analyzing the effectiveness of talent programs.
  • Data-Driven Decision Making: Using insights to refine talent development strategies.

• Communication and Collaboration

  • Stakeholder Management: Courses on managing relationships with business and technical leaders, and HR teams.
  • Effective Communication: Techniques for delivering impactful communication across diverse teams.

• Early Career Talent Trends

  • Future of Work Trends: Understanding emerging trends in talent management, skills development, and workplace innovation.
  • Generational Diversity in the Workplace: Training on engaging and managing multigenerational teams effectively.

Today’s exceptional challenges require your unique skills. Together, we can build the future of data storage.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

• Analyzing information to recommend and plan the installation of new systems or modifications of an existing system.
• Working with customers on technical issues including software system design and maintenance.
• Designing and developing software system using scientific analysis and applying knowledge.
• Troubleshooting, testing, debugging, deploying, maintaining, and improving software and system.
• Improve the SDET Data Automation system by using Software Design Pattern.

REQUIRED:

• Current student pursuing a Bachelor’s in Computer Engineering, Computer Science, or relevant education background

PREFERRED:

• Software Design Pattern, Design Database Concept
• C#, SQL, API, OOP , Code Structure
• Design of Thinking, Project Management, Presentation and Teamwork skills

SKILLS:

• Computer programming
• Database design
• Front-end and Back-end structure
• Network system
• Demonstrate a good level of English proficiency (written/verbal)
• Proficient in Microsoft Office applications

Today’s exceptional challenges require your unique skills. Together, we can build the future of data storage.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

Responsible in Read-Write Integration (RWI) related work for product improvement (yield/quality/test time)

• Lead and manage Read-Write integration (RWI) efforts aimed at improving product yield, quality, and test time
• Conduct failure analysis, providing insightful feedback to relevant teams for continuous improvement
• Actively engage in the early ramp-up of HAMR (Heat-Assisted Magnetic Recording) products, driving improvements related to Read-Write performance
• Collaborate with RWI Development, Head/Media teams to enhance product
• Support the qualification process for Head & Media Engineering Changes (ECs)

REQUIRED:

• Bachelor’s degree in Electrical, Electronics, Computer Engineering , or related field
• Proficiency in programming for data analytics (Python, SQL, C++)

PREFERRED:

• Knowledge of HDD failure analysis, reliability, HDD components, processes, and technologies
• Familiarity with quality management practices in the HDD industry

SKILLS:

• Strong communication skills in English and ability to collaborate effectively with a global team
• Proficient in basic analytical tools (e.g., Excel, JMP, Minitab)
• Strong problem-solving, creativity, flexibility, and initiative
• Leadership abilities and a positive, proactive mindset