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อัปโหลดเรซูเม่ของคุณ
AI ของเราจะอ่านให้ แล้วหางานที่ใช่สำหรับคุณ
อัปโหลดเรซูเม่ทักษะ:
Problem Solving, Architecture, Automation, Assembly
ประเภทงาน:
งานประจำ
เงินเดือน:
สามารถต่อรองได้
- Lead and build the Advanced HGA Process Development team, including hiring, coaching, and developing a multi disciplinary organization spanning process, materials, tooling, controls, software, and metrology.
- Own the technical direction and execution of early development, ensuring strong pipeline of innovative concepts and effective down selection based on technical merit and scalability.
- Drive development of core process capabilities, including slider attach, adhesive di ...
- Establish and enforce a strong KPIV/KPOV engineering discipline, enabling deep process understanding, transfer function development, and data driven decision making.
- Lead tool concept development and equipment strategy, working with internal teams and external suppliers to enable first of kind process and automation solutions.
- Partner closely with U.S.-based design, materials, and product teams to align process development with future architecture needs, including regular cross time zone collaboration.
- Ensure successful handoff to integration teams, delivering validated concepts, clear process windows, and well defined scaling and risk mitigation strategies.
- Build and manage lab capability and infrastructure in Thailand, enabling rapid prototyping, experimentation, and learning cycles.
- Foster a culture of innovation, accountability, and technical excellence, balancing speed, rigor, and creativity in early stage development.
- Proven experience in engineering leadership, ideally in HDD manufacturing, precision assembly, or advanced process development.
- Strong background in process development, tool design, or manufacturing engineering, with ability to guide complex, multi disciplinary technical work.
- Experience leading teams in ambiguous, early stage development environments, driving from concept to validated solutions.
- Solid understanding of data driven engineering approaches, including structured problem solving and statistical thinking.
- Ability to collaborate effectively across global teams, influencing design, materials, and product decisions.
- Strong people leadership and talent development skills, with track record of building high performing teams.
- Teparuk Thailand.
- Home to over 4,000 employees, our Teparuk site specializes in producing nano-recording heads - a crucial component for the read/write functionality of hard disk drives. At our Teparuk facility, work is both productive and enjoyable. You and your colleagues can grab breakfast, lunch, dinner, and snacks at our 24/7 on-site canteen and coffee shop. Stay active by taking a few laps around our running track or participating in volleyball, basketball, table tennis, badminton, or football at our on-site gymnasium and fitness center. We also offer a variety of activities, including music, dance, and aerobic classes. Alternatively, unwind in our lush green areas. Consider joining any of our employee resource groups (ERGs), such as Seagate Women in Leadership Network (SWLN), Seagate PRIDE: Thailand chapter, or Seagate's parents and caregivers' group. These ERGs provide educational and fun activities. Additionally, enjoy on-site festivals, celebrations, and opportunities to give back to the local community.
ทักษะ:
Electrical Engineering, Problem Solving, Data Analysis, Automation, Power BI
ประเภทงาน:
งานประจำ
เงินเดือน:
สามารถต่อรองได้
- Perform day-to-day data analysis on recording head component test results (PTM, QST, CDET, HQST, and related parametrics), comparing evaluation groups against control groups to identify behavioral patterns and anomalies Vs the design's expectation.
- Serve as focal for DOE outgoing shipment reporting across component-level tests (PTM, QST, CDET, HQST, Spin Stand, REC, MLT, IDEC, MI), Identify and flag prone-to-fail samples those tested under typical and/or aggressive conditions to prevent early failures when built into HDDs.
- Develop and maintain data stitching/normalization workflows that bring test results onto a common baseline, enabling fair comparison across different test conditions and design variants.
- Evaluate the feasibility of using characterization parametric for early-stage projections and conduct regular test result summary to monitor component health trends.
- Provide proactive risk identification to enable informed go/no-go decisions before samples leave the site.
- Support root cause determination for component-level anomalies (e.g., ADC-related issues) and conduct critical ad-hoc analyses for time-sensitive decision-making on a weekly basis.
- Automate recurring analysis and reporting pipelines; adopt AI/ML tools to improve efficiency in pattern recognition and repetitive analysis tasks.
- Interface with Great Oak front-end engineers, front-end characterization engineers, wafer design teams, and wafer process teams - translating component data into insights these teams can act on.
- Proactively share technical knowledge within the team and across functions - serve as a resource on HAMR head technology, test methodology, and data interpretation.
- This position is part of our Early Career program at WD. Our Early Career program is designed to support individuals beginning their professional career by providing the foundational training through a structured onboarding, mentorship, and development curriculum.
- Required.
- Currently pursuing or recently completed a PhD's degree in Electrical Engineering, Materials Science, Physics, Mechatronics, or a related field.
- Solid understanding of HDD component testing (heads, sliders, recording performance).
- Proficiency in data analysis using JMP, Minitab, Excel, or equivalent tools.
- Ability to work with large datasets, identify trends, and present findings clearly to both technical and non-technical audiences.
- Strong communication (both Thai and English) and collaboration skills for cross-functional work across time zones.
- A team-player talent, have an enough flexibility and able to handle themselves under pressured conditions.
- Skills.
- Data Analysis & Statistics.
- JMP, Minitab, Excel.
- DOE & RCA.
- HDD Head Characterization.
- Recording Performance Analysis.
- Data Normalization & Trend Analysis.
- Failure Analysis & Risk Assessment.
- Data Visualization & Reporting.
- Automation & AI/ML Tools.
- Python, SQL, or R.
- Power BI or Tableau.
- Pattern Recognition & Anomaly Detection.
- Critical Thinking & Problem Solving.
- Data-Driven Decision Making.
- LI-BI1.
- WD thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.
- WD is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at [email protected] to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
- Notice To Candidates: Please be aware that WD and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to WD Ethics Helpline or email [email protected].
ประสบการณ์:
1 ปีขึ้นไป
ทักษะ:
Good Communication Skills, Industrial Engineering, Product Development, English, Thai
ประเภทงาน:
งานประจำ
เงินเดือน:
สามารถต่อรองได้
- Career Progression - Start your career adventure and build strong technical and problem-solving skills that open doors to multiple career paths within a global industrial leader.
- Wellbeing and Inclusion - At Michelin Thailand, experience a supportive and inclusive culture that values collaboration, continuous improvement, and individual contribution.
- A Global Brand - Join a world-class organization committed to quality, safety, innov ...
- About the Department.
- At the Product Development team, we aim to design, industrialize, and continuously improve tire products that meet customer expectations, industrial performance targets, cost objectives, and time-to-market requirements.
- Define green tire models and industrialize products to meet the requirements, including product performance, industrial performance, cost, and lead time.
- Ensure timely market introduction by coordinating development and industrialization activities.
- Conduct root cause analysis to identify and resolve manufacturing and design issues.
- Develop and implement corrective actions to improve product robustness and process stability.
- Support continuous product evolution, including quality improvements, green and cured model evolution, and process enhancements.
- Collaborate with cross-functional teams (manufacturing, quality, industrial, and design) to deliver sustainable business results.
- Looking For.
- Required.
- Bachelor's or Master's Degree in Engineering (Mechanical, Mechatronic, Production, Industrial, Tooling, or related fields).
- 1-3 years of experience in Product Development, Design Engineering, or Industrial Engineering (New graduates are welcome to apply).
- Strong problem-solving and analytical skills.
- Ability to collaborate effectively across teams and functions.
- Ability to work under pressure in a dynamic, project-driven environment.
- Positive mindset with a continuous improvement orientation.
- Good communication skills in Thai and English.
- Preferred.
- Exposure to manufacturing or industrial environments.
- Interest in product innovation, sustainability, and industrial performance optimization.
ประสบการณ์:
5 ปีขึ้นไป
ทักษะ:
Electrical Engineering, Software Development, Product Development, Problem Solving, Data Analysis
ประเภทงาน:
งานประจำ
เงินเดือน:
฿23,000 - ฿45,000, สามารถต่อรองได้
- Design, develop, and validate test plans, test programs, and hardware for new semiconductor products.
- Create automated production and characterization test solutions on ATE platforms.
- Develop efficient and scalable test methodologies to support product development and manufacturing.
- Test Hardware Design.
- Design evaluation boards, load boards, interface hardware, and supporting circuits.
- Develop and debug test fixtures used for product validation and production testing.
- Coordinate PCB fabrication, assembly, and qualification activities.
- Product Characterization & Validation.
- Execute characterization and correlation activities to verify product performance.
- Analyze electrical parameters across operating conditions and manufacturing variations.
- Support qualification testing and product release activities.
- Design-for-Test Collaboration.
- Partner with IC design engineers to improve testability through Design-for-Test (DfT), Built-In Self-Test (BIST), and related techniques.
- Review product architectures and specifications to optimize test coverage and cost.
- Data Analysis & Problem Solving.
- Analyze test results to identify trends, yield excursions, and product performance issues.
- Debug hardware, software, and silicon-related failures using systematic root cause analysis.
- Drive corrective actions to improve product quality and test efficiency.
- Process & Quality Improvement.
- Develop and maintain test documentation, procedures, and engineering standards.
- Improve test coverage, test time, and hardware reliability.
- Support continuous improvement initiatives across product development and manufacturing.
- Cross-Functional Collaboration.
- Work with global engineering teams across design, applications, product engineering, quality, and manufacturing.
- Participate in technical reviews and project milestone planning.
- Minimum.
- Bachelor's degree in Electrical Engineering, Electronics Engineering, Computer Engineering, or a related discipline.
- 2 to 5 years of experience in test engineering, product engineering, semiconductor development, or a related field.
- Strong understanding of electronic circuits and semiconductor fundamentals.
- Experience with programming and software development for automation or testing.
- Oscilloscopes.
- Digital Multimeters.
- Power Supplies.
- Signal Generators.
- Strong analytical and troubleshooting skills.
- Ability to work effectively in a cross-functional global environment.
- Preferred.
- Teradyne MicroFlex.
- SPEA.
- Advantest.
- Experience developing automated test programs.
- Knowledge of power management or mixed-signal IC testing.
- Experience with PCB design tools and board development.
- Python.
- C/C++.
- VBA.
- Lab automation frameworks.
- Strong English communication skills.
- Experience working with globally distributed engineering teams.
- For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position - except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) - may have to go through an export licensing review process.
- Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group.
- Job Req Type: Experienced.
- Required Travel: Yes, 10% of the time.
- Shift Type: 1st Shift/Days.
ทักษะ:
Instrument, Python, Thai
ประเภทงาน:
งานประจำ
เงินเดือน:
สามารถต่อรองได้
- Nawamin Road, Thailand.
- Full-time.
- Workplace: on_site.
- Department: Technology.
- The AI Engineer builds production agents end-to-end on an AI-native retail decisioning platform - prompt design, tool definitions, multi-step workflows on the agent runtime (LangGraph, CrewAI, or chosen framework), evaluation harnesses (golden sets, regression gates, multi-step replay), human-in-the-loop gate integration, and per-agent cost optimisation. The role consumes platform-provided LLM and vector services; it does not rebuild that platform.
- Remote candidates outside of Thailand are welcome to apply.
- Build agents on the platform's agent runtime - prompt design, tool definitions, multi-step workflows, error handling - and ship them with eval harness, human-in-the-loop gate config, observability instrumentation, cost meter, and runbook.
- Co-design agent specs with Tech Lead Applications and Suite Product Owners; partner with ML Engineers on classical ML model integration into agents.
- Author golden sets per agent - domain-specific test cases capturing must-pass behaviours; build regression gates in CI so no agent ships without eval-pass.
- Implement multi-step conversation replay for agents with stateful interactions; use LLM-as-judge patterns where appropriate; instrument human feedback collection.
- Configure HITL gates per agent and per agent plan; implement gate-progression evidence collection (Shadow data, accuracy metrics, override frequency).
- Own per-agent cost meter - tokens, vector queries, model inference; report monthly; tune model routing and implement caching strategies where appropriate.
- Consume the enterprise LLM Gateway via standard SDK; partner with platform AI engineering on embedding model selection and retrieval relevance tuning.
- Mentor seed-programme engineers and contribute to the agent-engineering playbook.
- Bachelor's or Master's degree in Computer Science, AI / ML, or a related discipline.
- 5+ years software engineering with 2+ years shipping LLM-based or agentic systems to production.
- Production agent or multi-step LLM workflow experience - LangGraph, CrewAI, AutoGen, DSPy, or custom.
- Strong Python; comfortable with async, observability, testing.
- Hands-on with at least one major LLM provider (Azure OpenAI, Anthropic, Bedrock, Vertex).
- Eval-driven LLM development - golden sets, LLM-as-judge, regression gates, multi-step replay.
- HITL gate / agent governance - has shipped agents with explicit gates, not autonomous-by-default.
- Prompt injection / data leakage / PII handling - designs and tests defences.
- PreferredQualifications.
- Open-source contributions to agent frameworks (LangChain / LangGraph / DSPy).
- Multi-agent system at scale in production; retail / commerce / fintech agentic workflows (supplier onboarding, contract intelligence, comparable).
- Causal inference exposure (DoWhy / EconML); Thai-language NLP (PyThaiNLP, WangchanBERTa, SEA-LION, Typhoon).
- Vendor certifications such as Databricks Generative AI Engineer or Azure AI Engineer Associate.
- Apply.
- Apply at CP Axtra](https://apply.workable.com/joinmakropro/j/2CFFE27C25/apply).
ประสบการณ์:
5 ปีขึ้นไป
ทักษะ:
Software Development, Agile Development, Java, C#, .NET
ประเภทงาน:
งานประจำ
เงินเดือน:
สามารถต่อรองได้
- Bangkok, Thailand.
- Full-time.
- Workplace: on_site.
- Department: Technology.
- Working Location: Empire Tower (100% onsite, accessible via BTS Chong Nonsi).
- Role Summary.
- We are looking for an Senior Engineer, Software Development to join our team in Thailand. The candidate will support backend development for both existing payment platforms and new payment solutions.
- The ideal candidate should have good backend development skills, basic understanding or interest in the payment / fintech / financial domain, good English communication, and willingness to learn and use AI tools to improve software development efficiency.
- Development of reliable and critical services of the payment platform.
- Design and develop new features and enhancements on the payment sub-systems such as transaction processing, merchant services, refund, settlement, reconciliation, reporting, and partner integration.
- Analyse impacts and build APIs, backend services, batch jobs, and system integration components to be compatible on both legacy and new payment platforms.
- Collaborate with cross function teams such as Product, DevOps, Business, and support teams to ensure the Business requirements are fulfilled.
- Understand business requirements and identify technical gaps, risks, dependencies, and edge cases before development starts. Then collaborate with team members to troubleshoot and resolve production incidents, and system improvement.
- Guide junior and mid-level engineers on implementation approach, coding standards, and troubleshooting.
- Review code quality and ensure proper design, performance, security, and maintainability.
- Take responsibility for end-to-end module understanding, design, development, testing support, deployment support, and production issue follow-up.
- Ensure the module is stable, maintainable, and aligned with product and technical requirements.
- Propose practical and scalable technical solutions for assigned modules.
- Apply AI Coding tools (Claude, Codex, Kiro) to increase development efficiency and code quality.
- Required.
- Bachelor's degree in Computer Science, IT, Software Engineering, or related field.
- At least 3-5 years of software development experience, preferably in backend development and familiarity with basic SDLC including Agile development.
- Solid programming ability in at least one backend technologies such as Java, C#.NET, Python, or similar, building REST APIs, system integration, and backend service development.
- Foundational knowledge with both TSQL databases (SQL Server, MySQL) and No-SQL databases and distributed systems.
- Hand-on experience on some of the AI Coding development tools (Claude, Codex, Kiro).
- Strong analytical and problem-solving skills to break down complex problems, understand requirements, identify root causes to deliver reliable backend solutions and willingness to apply new technologies (leveraging AI) to enhance productivity.
- Good communication skills and teamwork.
- Payment Domain Knowledge.
- Payment gateway.
- Card payment acquiring or issuing.
- Authorization, capture, void, refund, and reversal.
- Merchant integration.
- Settlement and reconciliation.
- QR payment, wallet payment, bank transfer, or PromptPay.
- Payment security, encryption, tokenization, or PCI DSS.
- We offer an attractive remuneration package, a fast-paced and exciting working environment, and provide challenging opportunities for life-long learning and career development.
- Interested candidates are invited to send your comprehensive resume with current and expected salary package via this job ad. Please note that only shortlisted candidates will be notified.
- Please consult our Candidate Privacy Notice to know more about how we collect, use, transfer and disclose our candidates' information: [https://2c2p.com/candidate-privacy-notice.](https://2c2p.com/candidate-privacy-notice.).
- By submitting your resume and information, you understand, acknowledge, and consent that your personal data will be processed in accordance with our Candidate Privacy Notice. You consent to the collection, use, transfer and disclosure of your personal data as well as to receive email and/or other electronic messaging communication from 2C2P.
- Apply.
- Apply at 2C2P](https://apply.workable.com/2c2p/j/1928BA507A/apply).
ทักษะ:
Leadership Skill
ประเภทงาน:
งานประจำ
เงินเดือน:
สามารถต่อรองได้
- Oversee all aspects of renewable energy project development, from initial site selection to project execution and handover.
- Identify and assess the potential project sites for wind and other energy developments in Thailand, considering technical, environmental, and regulatory factors.
- Lead a multidisciplinary team, ensuring seamless coordination between technical, commercial, and operational functions.
- Manage the project development process, including site selection, land acquisition, permitting, feasibility studies, and stakeholder engagement, to ensure timely and cost-effective project execution.
- Manage project risks and implement mitigation strategies to address technical, financial, and operational challenges throughout the project lifecycle.
- Monitor project performance, track key metrics, and provide regular updates to senior management on project status, milestones, risks, and opportunities.
- Experience in renewable energy professionals with preferably 2 years track record of renewable energy development activities (or similar) in Thailand.
- Good understanding of the energy market and key players in Thailand, as well as the policy outlook.
- Experience with Wind Energy projects is a plus.
ทักษะ:
Negotiation, ISO 14001, Assembly, English
ประเภทงาน:
งานประจำ
เงินเดือน:
฿50,000 - ฿75,000, สามารถต่อรองได้
- Ensure complete process and product release of new components bought from external suppliers in cooperation with the supplier and development team (Project Buyer, Project Manager, Project Launch Manager, R&D, Quality, Manufacturing, Logistics, etc.).
- Lead the application of Advanced Product Quality Planning (APQP) methodology by performing supplier APQP reviews, process audits/line reviews, and supplier capacity checks.
- Assure the safe launch execution.
- Actively participate in the DMSP (Sourcing Process).
- Support R&D, Project Buyers, and the Development Team in the supplier selection of new components from external suppliers during all sourcing phases.
- Ensure supply risk analysis evaluation in the early project phase, by the latest stage of the tender list definition, using the E-Sourcing tool.
- Participate in technical analyses and validate supplier solutions in terms of quality, technical/process solutions, capability, and timing, in line with the project team.
- Ensure lessons learned are applied through feasibility commitment and technical analysis approval.
- Ensure the implementation of commodity state-of-the-art and best-in-class standards/practice requirements in supplier processes through the application of the Commodity Quality Check List.
- Ensure the transmission and implementation of customer-specific requirements.
- Ensure the implementation of special characteristics and apply the appropriate control methodology.
- Validate the Supplier APQP Review conducted by or with the suppliers.
- Follow up on planning, execution, and completion of all tasks required for the Production Part Approval Process (PPAP) evaluation and approval.
- Make decisions, solve problems autonomously, and escalate appropriately to upper management of the supplier and/or company.
- Work across a global, matrixed organization, sharing and learning best practices.
- Participate in relevant technical meetings with R&D and suppliers.
- Support any APQP reporting requested at plant, division, or company for the components managed by SDE.
- Validate the supplier action plan at project level and ensure its availability on the APQP database.
- Apply the APQP CQCL.
- Measure the effectiveness of the APQP process through reverse APQP process analysis, based on claims occurring before G7.
- Support the change management process and promote second sourcing.
- Experience in supplier new project development related to injection molding, stamping, welding, and assembly processes.
- Fluent in English, with a TOEIC score of 700 or higher.
- Strong analytical and synthesis skills, with the ability to propose solutions, take responsibility, work under pressure, and manage supplier relationships.
- Effective negotiation and persuasion abilities, with experience in managing meetings and fostering a team spirit.
- Comprehensive knowledge and experience in new component development, including supplier selection, requirement definition, Advance Product Quality Planning, verification of production capacity, validation of Initial Samples Control Reports, and the Production Part Approval Process.
- Experience in process auditing (qualified auditor according to VDA 6.3 is mandatory).
- Knowledge and practical experience with quality tools such as Failure Mode and Effect Analysis, Statistical Process Control, process capabilities, Pareto analysis, and problem-solving methods (such as 8D, 5 Whys, Ishikawa, Fault Tree Analysis, and experience capitalization).
- Familiarity with quality norms such as IATF 16949, and knowledge of quality, environmental (ISO 14001), and safety requirements (ISO 45001).
- Proficient in MS Office Suite.
- Willingness to travel (30-50%).
ทักษะ:
Software Development, Oracle, Java, SQL
ประเภทงาน:
งานประจำ
เงินเดือน:
สามารถต่อรองได้
- Design, develop, and maintain scalable Java applications and backend services.
- Write efficient and maintainable code following industry best practices.
- Design and implement complex SQL queries, stored procedures, and performance tuning for both MSSQL and Oracle.
- Collaborate with front-end developers, QA engineers, and business analysts to deliver high-quality solutions.
- Analyze application requirements and provide technical design and implementation solutions.
- Ensure data integrity and security across systems.
- Troubleshoot and resolve production issues related to backend services and databases.
- Participate in code reviews, testing, and documentation.
ประสบการณ์:
2 ปีขึ้นไป
ทักษะ:
Electrical Engineering, Software Development, Enthusiastic, Automation, Instrument
ประเภทงาน:
งานประจำ
เงินเดือน:
฿50,000 - ฿70,000, สามารถต่อรองได้
- Develop and maintain test frameworks, libraries, and tools to streamline the test development process and improve efficiency.
- Collaborate closely with other development engineers in Ottawa and Shenzhen.
- Debug and troubleshoot complex software issues, identifying root causes and implementing effective solutions.
- Perform software verification and validation, including unit testing, integration testing, and system-level testing.
- Participate in design reviews and code reviews to ensure adherence to best practices and quality standards.
- Continuously research and evaluate new test technologies, tools, and methodologies to enhance test capabilities. Job Qualifications * Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related technical field. * 2+ years of experience in test software development, preferably in a manufacturing or R&D environment.
- Strong programming skills in VB.NET, C#, Python, SQL, etc.
- Additional skill set on AI tool is a plus.
- Experience with test equipment automation and instrument control.
- Familiarity with various communication protocols (e.g., SCADA, PLC, GPIB, USB, Ethernet, RS-232).
- Experience with software development methodologies (e.g., Agile, Scrum).
- Knowledge of optical and photonic components, systems, or test methodologies is a plus.
- Excellent problem-solving, analytical, and debugging skills.
- Require written and verbal communication skills in English.
- Ability to work independently and as part of a cross-functional team in a fast-paced environment. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

อัปโหลดเรซูเม่ของคุณ
AI ของเราจะอ่านให้ แล้วหางานที่ใช่สำหรับคุณ
อัปโหลดเรซูเม่ประสบการณ์:
3 ปีขึ้นไป
ทักษะ:
Product Development, Data Analysis, Energetic, English
ประเภทงาน:
งานประจำ
เงินเดือน:
฿40,000 - ฿55,000, สามารถต่อรองได้
- Promote and maintain a safe work environment by upholding safety as a top priority and core value, active participation in training, housekeeping, safety huddles, SOP preparation, audits and emergency response.
- Responsible for implementing new product and technology development for jointing, surface and other compound products including Industrial Plaster in line with business strategies across the regions.
- Coordinating with lab personnel and other functions to execute said projects.
- Tasks relating to evaluation of new or alternative raw materials.
- Development of new products for different market segments.
- Coordinate projects for maintenance of business. Activities here include but are not limited to raw material evaluations, cost reduction initiatives, formulation optimization, development of test procedures and QA programs, and competitive benchmarking.
- Coordinate with other functions including manufacturing, marketing, and supply chain.
- Working in a team in improving processing methods and technology to improve quality or cost position for the business.
- Coordination with Iphofen on regional/global projects in the plasters area.
- Supporting customer visits with the sales teams to better understand requirements and applications.
- Possess a thorough understanding of products, formulations, test procedures and product attributes.
- Think outside the box on product and technologies and promote culture of innovation.
- Ensuring all IP protection protocols are followed.
- Job.
- Bachelor's degree or master's degree in engineering or science, in the field of Chemical, Materials, Civil or Chemistry.
- Knowledgeable on product requirements, industry standards, market requirements and competitive landscape.
- Strong preference for candidate with prior R&D experience either in commercial or university setting.
- Knowledgeable on raw material and suppliers.
- Managerial skill and communication skill.
- Computer skills; proficiency in MS Office. Data analysis program is advantage.
- Good command of English.
- Energetic and self-starter with a curious mind to understand why and how to solve challenges in the business.
- Ability to work unsupervised and as part of a wider team with many stakeholders.
- Initiative to keep updated on developments in the industry and within Knauf Group on technological advancements that could be implemented in the Knauf Plasters business.
- Minimum 3 years of R&D/Process/Quality experience in the gypsum building materials industry.
- Exposure in various parts of gypsum and compound product and process is preferred.
- You can apply directly via our website. Simply register and set up job alerts for Knauf opportunities worldwide at: https://careersthailand.knaufapac.com/jobs.
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- นโยบายความเป็นส่วนตัว.
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ประสบการณ์:
3 ปีขึ้นไป
ทักษะ:
Industry trends, Data Analysis
ประเภทงาน:
งานประจำ
เงินเดือน:
สามารถต่อรองได้
- Conduct applied research and development activities, exploring new technologies and methodologies to enhance our products and services.
- Lead and participate in cross-functional projects, collaborating with diverse teams to integrate research findings into practical applications.
- Design and develop experimental setups, ensuring accurate data collection and analysis to support research objectives.
- Analyze and interpret complex data, identifying trends and patterns to drive informed decision-making and strategic planning.
- Document and communicate research findings effectively, presenting results to stakeholders and contributing to knowledge sharing within the organization.
- Stay updated with industry trends and advancements, identifying opportunities for technological improvements and process optimizations.
- Mentor and guide junior team members, fostering a culture of knowledge sharing and continuous learning.
- A strong foundation in research methodologies and a proven track record of successful research projects.
- Proficiency in data analysis and interpretation, with experience in utilizing statistical tools and techniques.
- Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
- 3+ years of experience in applied research, particularly in the field is highly desirable.
- Advanced degree in a relevant field, such as engineering, computer science, or a related discipline.
- Familiarity with industry-specific software and tools for data analysis and visualization.
- A proactive and innovative mindset, with a passion for continuous learning and staying updated with emerging technologies.
ประสบการณ์:
3 ปีขึ้นไป
ทักษะ:
Mechanical Engineering, Product Development, Leadership Skill, CAD, English
ประเภทงาน:
งานประจำ
เงินเดือน:
สามารถต่อรองได้
- Design and Risk assessment by FMEA or DRBFM.
- Drawing generation and documentation.
- Coordination with suppliers, manufacturing and development partners.
- Layout of design groups and design elements including tolerancing and material selection.
- Development of high-pressure pump for gasoline direct injection and port fuel injection in gasoline application.
- Supporting engineering changes.
- Education.
- Bachelor's or Master's Degree in Mechanical Engineering or related field.
- Minimum 3 years of experience in Mechanical Design or Product Development.
- Proficiency in 3D CAD, preferably Siemens NX (Unigraphics).
- Experience with SAP and Teamcenter.
- Knowledge of FMEA / DRBFM and design reliability concepts.
- Strong understanding of layout design, tolerancing, and engineering drawings.
- Knowledge of component development.
- Very good command of English.
- Self-driven, well-structured, and able to work independently.
- Strong communication and cross-functional collaboration skills.
- Ability to work under pressure and deliver results on time.
- High sense of responsibility, quality awareness, and leadership potential.
- Your future job offers you.
- Housing allowance, company shuttle, free lunch, provident fund, medical benefits, OPD, IPD, dental benefits, performance bonus, service year reward, insurance, diligent allowance, marriage allowance, new born gift, oversea allowance, etc.
- Make it happen.
- Send us your application by using the I'm interested button!.
- Interested applicants are invited to submit your CV, current & expected salary, and contact information.
ประสบการณ์:
1 ปีขึ้นไป
ทักษะ:
Software Architecture, Software Development, Risk Management, Architecture, Automation
ประเภทงาน:
งานประจำ
เงินเดือน:
สามารถต่อรองได้
- Follow the Company's Code of Conduct, policies, regulations, and compliance requirements.
- Lead Software Architecture and System Architecture development for HSA, HDD, and Back-End Assembly automation systems.
- Define technical roadmaps and software strategies aligned with business and factory transformation objectives.
- Lead software design, code, testing, validation, and release review processes to ensure software quality and reliability.
- Drive end-to-end development of PC-based, PLC, Robotics, Machine Vision, and Motion Control applications.
- Lead the adoption and implementation of AI, Machine Learning, IIoT, and Digital Twin solutions for manufacturing applications.
- Generate, maintain, and continuously improve machine control software for current and next-generation assembly platforms.
- Develop and maintain reusable software frameworks, standards, and best practices across multiple machine generations.
- Execute experiments, analyze data, and provide technical recommendations to improve manufacturing performance.
- Collaborate closely with Process, Equipment, Production, Quality, IT, and cross-functional teams to improve yield, throughput, downtime, and scrap performance.
- Lead software development projects, including project planning, risk management, resource coordination, and execution.
- Generate and maintain technical documentation including software architecture, specifications, release notices, validation reports, and user documentation.
- Serve as the primary technical resource and Subject Matter Expert (SME) for software engineering, automation, and intelligent manufacturing technologist.
- Coach, mentor, and develop junior engineers while promoting engineering best practices and technical excellence.
- Maintain effective communication and technical alignment with local and global engineering teams and stakeholders.
- Support and drive continuous improvement, innovation, and digital transformation initiatives across manufacturing operations.
- Comply with and promote IMS, ISO, 7S, EHS, RBA, BCM, ZDM, sustainability, energy-saving, waste reduction, and other corporate initiatives while fostering a safe, positive, and collaborative work environment.
- Bachelor Degree/Master Degree in Computer Engineering/ Electrical/ Mechatronics/ Computer Science or equivalent.
- 10-15 years of experience in Automation and Software Engineering, specializing in PC/PLC Controls, Robotics, Machine Vision, Image Processing, AI/ML, and Industrial IoT, with proven ability to lead software strategy, technical architecture, global projects, and engineering talent development.
- Knowledgeable level the programming in.
- C#.NET, UML, C, Java, Python, IoT, Arduino devices.
- PLC (Beckhoff, Keyence, Mitsubishi); vision, robotics and HMI systems programming.
- Web application, dashboard and database system.
- OOP Programing, UML Design.
- Windows, Linux, RTOS.
- PC based machine controls.
- PLC (Beckhoff, Keyence, Mitsubishi); vision, robotics and HMI systems programming.
- Arduino devices and programming.
- Interface, communication and controller integration for PC/PLC based automation systems, I/O controllers, bus interfaces, Frame Grabbers, Device Net, A to D, TCP/IP and serial communication devices.
- Machine learning and AI fundamental.
- Good attitude and able to build the truth across the team.
- Strong listening, communication, interpersonal and relational skills to develop a good relationship within the organization.
- LI-EL1.
- WD thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.
- WD is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at [email protected] to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
- Notice To Candidates: Please be aware that WD and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to WD Ethics Helpline or email [email protected].
ประสบการณ์:
3 ปีขึ้นไป
ทักษะ:
Electrical Engineering, Mechanical Engineering, Automation, SEM, English
ประเภทงาน:
งานประจำ
เงินเดือน:
สามารถต่อรองได้
- Wafer-to-slider BE assessment - Evaluate wafer designs at BE through process mapping, electrical measurements, and surface characterization using AFM, SEM, and FIB-TEM techniques.
- Technology milestone ownership - Tracks and drives BE evaluations for multiple technology milestones, coordinating DOE (Design of Experiment) builds, lapping, and post-process inspections.
- Cross-functional coordination - Leads a bi-weekly WF/BE interlock meeting that bridg ...
- AI/ML initiatives - Drives projects using machine learning and WD's ML platform for data-driven prediction of slider performance metrics.
- Process automation - Develops scripts for ISA data automation, missing lot checking, and multi-step query tools to improve team efficiency.
- Bachelor's or Master's degree in Science or engineering, Physics, Electrical Engineering, Mechanical Engineering, or related field.
- (Preferred) 3-5+ years in HDD head manufacturing, magnetic recording, or semiconductor process engineering, with hands-on experience using AFM, SEM, FIB-TEM, and optical microscopy.
- Experience with DOE (Design of Experiments) planning, execution, and statistical process control (SPC/EDCSPC) for data-driven decision making.
- Familiarity with AI/ML tools for defect detection and process optimization.
- Proficiency in competitive and failure analysis methodologies.
- Strong communication skills in English (written and verbal) for technical reporting and cross-site meetings.
- Demonstrated ability to coordinate cross-functional teams (wafer, process, BE, NPI, and design groups) and manage multiple concurrent programs with clear timelines.
- Additional Information.
- LI-KS2.
- WD thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.
- WD is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at [email protected] to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
- Notice To Candidates:Please be aware that WD and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to WD Ethics Helpline or email [email protected].
ประสบการณ์:
2 ปีขึ้นไป
ทักษะ:
Software Development, Enthusiastic, Architecture, Electronics, English
ประเภทงาน:
งานประจำ
เงินเดือน:
สามารถต่อรองได้
- Design, develop, test, integrate and maintain quality firmware for eHDD using best practices like unit test and TDD (Test Driven Development).
- Design and implementation of data structures, software algorithms, data path, and drivers for hardware cores using latest standards C++ and Python.
- Deliver cutting-edge storage products with SAS, SATA, PCIE interfaces.
- Collaborate and design solutions for the challenging yet unique problems across hardware and software platforms, including servers, RAID, and various operating systems (Windows and Linux).
- Participate in the technical investigations from problem statement to conclusion.
- Creates design documents pertinent to the various phases of firmware development.
- Bachelor or Master in Computer Science, Computer/Electronics Engineering or equivalent required.
- Fresh graduates are encouraged to apply.
- 0-2 years of experience in relevant field or embedded firmware experience. Welcome new graduate.
- Experience or understanding of software development cycle would be an added advantage.
- Familiarity with micro-controller architecture (ARM or ARC), embedded systems and RTOS desired.
- Knowledge in SAS, SATA and PCIE interface is a plus.
- Experience in the use of bus analyzers, emulators and other firmware debugging tools is a plus. Comfortable and enjoy working in a dynamic and ever-evolving environment.
- Be fun and enthusiastic teammate who enjoys challenges and celebrates successes.
- Possess data analytics skillset.
- Knowledge of C/C++, object-oriented programming, Python, data structures, and algorithms.
- Capable of quickly learning new firmware, hardware, systems, tools, and methodologies.
- Ability to effectively manage projects and tasks to deliver deadlines and commitments.
- High degree of problem-solving skills, solutions-oriented with a positive, can-do attitude.
- Excellent interpersonal skills, including written and verbal communication.
- Be able to work as one team with worldwide team.
- Skills.
- Knowledge of C/C++, object-oriented programming, Python, data structures, and algorithms.
- Capable of quickly learning new firmware, hardware, systems, tools, and methodologies.
- High degree of problem-solving skills, solutions-oriented with a positive, can-do attitude.
- Be able to work as one team with worldwide team.
- Good command of English communication.
- LI-BI1.
- WD thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.
- WD is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at [email protected] to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
- Notice To Candidates: Please be aware that WD and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to WD Ethics Helpline or email [email protected].
ประสบการณ์:
2 ปีขึ้นไป
ทักษะ:
Statistical Analysis, Architecture, Automation, Leadership Skill, Assembly
ประเภทงาน:
งานประจำ
เงินเดือน:
สามารถต่อรองได้
- Developing predictive models and advanced statistical analyses for process yield and defect prediction.
- Building scalable data pipelines and analytics platforms for engineering use.
- Leading applied analytics projects in Phase 2 of the BEST Program with mentor oversight.
- Partnering with manufacturing and process engineers to embed data-driven methodologies into daily operations.
- Contributing to automation of data collection, reporting, and anomaly detection.
- Preparing and presenting technical findings to engineering leadership, including cross-site reviews.
- This position is part of our Early Career program at WD. Our Early Career program is designed to support individuals beginning their professional career by providing the foundational training through a structured onboarding, mentorship, and development curriculum.
- We warmly welcome fresh graduates of a Master's degree, and Early Career Talent with 0-2 years of experience are encouraged to apply.
- Currently pursuing or recently completed a Master's degree in Data Science, Computer Science, Statistics, Applied Mathematics, Engineering with advanced analytics/AI specialization, or equivalent experience.
- Fresh graduate or maximum 2 years post-graduate experience.
- Advanced proficiency in Python, R, and/or SQL.
- Demonstrated experience in machine learning, predictive modeling, or advanced statistical analysis.
- Research or thesis experience with data-driven methodology.
- Thesis or published research in ML, AI, process analytics, or manufacturing intelligence.
- Experience with big data platforms, cloud analytics (AWS, Azure, GCP), or edge computing.
- Knowledge of time-series analysis, anomaly detection, or sensor data analytics.
- Familiarity with manufacturing execution systems (MES) or industrial IoT data.
- Experience building end-to-end ML pipelines (data ingestion to model deployment).
- Advanced machine learning and statistical modeling (supervised, unsupervised, time-series).
- Strong Python/R programming with software engineering discipline (version control, documentation).
- Data architecture and pipeline development.
- Ability to translate complex models into operational recommendations.
- High analytical rigor and independent thinking.
- LI-SB1.
- WD thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.
- WD is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at [email protected] to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
- Notice To Candidates: Please be aware that WD and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to WD Ethics Helpline or email [email protected].
ทักษะ:
Statistical Analysis, Project Management, Automation, Leadership Skill, Big Data
ประเภทงาน:
ฝึกงาน
เงินเดือน:
สามารถต่อรองได้
- Designing and executing an analytics or ML project with defined scope and measurable deliverables.
- Building or enhancing data pipelines, models, or dashboards used by engineering teams.
- Applying advanced statistical or machine learning techniques to manufacturing process data.
- Documenting methodology and presenting results to engineering leadership.
- Collaborating with process engineers to ensure outputs are operationally relevant.
- Participating in structured internship assessments and IDP-lite development conversations.
- This position is part of our Early Career program at WD. Our Early Career program is designed to support individuals beginning their professional career by providing the foundational training through a structured onboarding, mentorship, and development curriculum.
- Currently pursuing a Master's degree in Data Science, Computer Science, Statistics, Applied Mathematics, Engineering with advanced analytics/AI specialization, or equivalent experience.
- Completed a Bachelor's degree in a technical field.
- Advanced proficiency in Python and/or R; working knowledge of SQL.
- Active thesis or project in ML, data science, or applied analytics.
- Available for 3-6 months structured internship.
- Research or thesis involving machine learning, predictive modeling, or process analytics.
- Familiarity with cloud platforms (AWS, Azure, GCP) or big data tools.
- Experience with time-series data, anomaly detection, or sensor analytics.
- Publication, competition recognition, or open-source contribution in data/AI.
- Exposure to manufacturing or industrial data environments.
- Advanced Python/R with software engineering best practices.
- Machine learning model development and validation.
- Statistical analysis and experimental design.
- Strong analytical communication - ability to present complex findings clearly.
- Independent project management with structured deliverables.
- High intellectual curiosity and research discipline.
- Strong written and verbal English communication.
- LI-SB1.
- WD thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.
- WD is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at [email protected] to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
- Notice To Candidates: Please be aware that WD and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to WD Ethics Helpline or email [email protected].
ประสบการณ์:
2 ปีขึ้นไป
ทักษะ:
Problem Solving, Product Design, Procurement, Automation, Assembly
ประเภทงาน:
งานประจำ
เงินเดือน:
สามารถต่อรองได้
- Develop, Design, and Deploy automated or manual Tooling to assemble HDA/HSA prior to transfer to HVM engineering (from clean room to backend).
- Coordinator for vendor outsourced projects.
- Tooling coordinator and schedule owner for NPL lines & tooling development projects.
- Support APM in program scoping (tooling impact, cost & schedule).
- Support DFM studies, QFD, TCTF, FEA, DOE, engineering analysis (tolerance studies, GR&R, FEA, simulations, engineering calculations, etc.).
- Prepare WEDR reviews - TDRD-FMEA, concept review, final design.
- Prepare & maintain tool documentations - Design review, technical drawings & schematics, BOM, spare parts, setup, preventive maintenance.
- Support databases - eTRF, ePDM, AME design rules, tooling conversion costs.
- Capital preparation: NPL and prototype development budget estimates, calculate ROI, justify to CRB, support MPS replication planning.
- Support HVM 1st line replication planning and execution.
- Manage tool logistics/ shipments, and related resources.
- Manage R&D & NPL budget & procurement (budget forecast, spending control & monitoring, PR justifications, vendor selection & asset transfers).
- Provide 1st level support to NPL & HVM technicians (training & supervision) for lab prototype setup and production tool related issues.
- SMEs (subject matter experts) in HDA/ HSA assembly technologies - vision systems, screw driving, pick & place, AGV (auto gage verification), screw autofeed, auto dycem, measurement devices, control systems, and qualified SEMI S2 internal auditors.
- Sustaining support - prototype designs & evaluations for continuous KPI improvements.
- Provide guidance to local vendors to improve services and capabilities to meet factory demands.
- Perform other duties as assigned.
- REQUIRED.
- Master Degree / Bachelor's Degree in Mechanical or Mechatronics Engineering or equivalent.
- More than 2 years of experience.
- Well ability to using Solid works software to design tooling and fixture for product qualification/prototype/automation system.
- Thoroughly understand GDT concept, and application, and be able to train others to appropriate use for tooling fixture design.
- Good knowledge in Technical/analytical/Mechanical analysis.
- Good command in spoken and written.
- Problem solving skill.
- Able to track data, analyze and solve the problems on HSA/HDA tooling fixture & Equipment to perform corrective actions to meet customers' requirements accordingly.
- LI-EL1.
- WD thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.
- WD is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at [email protected] to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
- Notice To Candidates: Please be aware that WD and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to WD Ethics Helpline or email [email protected].
ทักษะ:
Industrial Engineering, Product Development, Project Management, Risk Management, Problem Solving
ประเภทงาน:
งานประจำ
เงินเดือน:
สามารถต่อรองได้
- Delivery Project timing, investments, cost on time and on budget.
- Validation and release of (mechanical) structural components within time frame, cost target, quality level, and process constrain.
- Initiate technical Feasibility Study for The Projects with inputs in Business feasibility study.
- Analyze technical solutions with suppliers, product care and other involved functions.
- Discuss the Global RD, Supplier, Manufacturing,QA,Purchasing for product and component development to ensure clear direction and understanding of the desired result.
- Support the product care team in cost and quality improvement activities.
- Preparing product files (BOM, Drawings, Specs, Test Specs.) on Team Center.
- Lead the project, define scope, develop plans, manage schedule, budget, resources, risks, and stakeholder communication.
- Who You Are.
- Education.
- Bachelor 's Degree in Mechanical, Industrial Engineering or others related field.
- Experience.
- 8-12 years' experience in relevant experience in new product development.
- Experience of Project Management.
- Product Cost Understanding.
- Knowledge.
- Digital & Tool Knowledge,Microsoft Project,Microsoft Planner,Excel for project tracking.
- Product Development Process.
- FMEA.
- Leadership,Lead cross-functional teams, Manage conflicts and decision-making.
- Communication, Present project status clearly, Facilitate meetings effectively,Communicate with stakeholders at all levels,Prepare reports and presentations.
- Planning,Define project scope and objectives, Create schedules and milestones,Prioritize activities,Manage multiple tasks simultaneously.
- Risk Management, Identify potential risks,Evaluate impact and probability.
- Stakeholder Management, Build strong relationships, Manage expectations, Negotiate priorities and resources.
- Budget & Cost Management, Develop project budgets,Track spending,Analyze cost variances.
- Problem Solving,Analyze complex situations, Identify root causes, Develop practical solutions.
- Attribute.
- Deliver results / การส่งมอบงาน (ผลลัพธ์).
- Leading others & self / เป็นผู้นำคนอื่นและตัวเอง.
- Consumer & customer focus / มุ่งเน้นผู้บริโภคและลูกค้า.
- Cross-collaboration & networking / ทำงานร่วมกับผู้อื่นและสร้างเครือข่าย.
- Judgement & decision making / การตัดสินใจ.
- Coaching others & self / สอนผู้อื่นและตนเอง.
- Quality Awareness / ความตระหนักในคุณภาพ.
- Zero Waste Awareness / ความตระหนักในการลดขยะฝังกลบ.

ประเมินเงินเดือน
เช็กว่าคุณควรได้เงินเดือนเท่าไหร่ จากข้อมูลตลาดและทักษะของคุณ
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