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Experience:

8 years required

Skills:

Cost Estimation, Procurement, Purchasing, English, Thai

Job type:

Full-time

• To plan, define standards and guidelines, and design the Core Transport DWDM/ASON network to support Mobile, Broadband, and Corporate Data services, ensuring nationwide coverage in alignment with company objectives and meeting high-bandwidth enterprise customers.
• To evaluate and manage end-to-end project budgets and outcome. To oversee vendor & supplier performance and govern Managed Service Providers and business partners.
• To provide technical advisory in procurement processes and contract development to e ...
• Own Core Transport DWDM/ASON network design and capacity planning.
• Research technology trend and develop technical requirement to match business's needs.
• Write and approve technical specification as well as acceptance criteria.
• Assess vendors' proposal. Identify Pros and Cons.
• Gather requirement from both internal and external customer. Create High Level Design and plan for capacity expansion. Summarize the scope and cost estimation.
• Finalize BOQ and proceed purchasing in parallel with shipment plan.
• Lead across-function with authority on Core Transport DWDM/ASON vendor & supplier performance management (including their projects) and governance of Managed Service Providers and business partners.
• Set priorities and allocate resources across projects regarding Core Transportation DWDM/ASON budget planning and management.
• Expert on contract and procurement in technical part.
• Bachelor's Degree in Engineering, Telecommunications, or a Related Field.
• 8 years in Transmission planning, 5 years in Project implementation and management.
• Advanced transmission technology.
• Basic Mobile 5G knowledge.
• Basic Broadband FTTx knowledge.
• Good command on both English and Thai.
• True Tower 1 (Ratchadaphisek Road).

Experience:

5 years required

Skills:

Industrial Engineering, Assembly, English

Job type:

Full-time

• We are looking for a.
• Lean Engineering Specialist.
• to drive factory performance and continuous improvement initiatives across operations. This role will act as a key bridge across regional manufacturing sites and support the development of lean capabilities.
• Plan, design, and optimize manufacturing processes to ensure efficient utilization of equipment and resources.
• Design layouts for assembly lines and material handling to improve productivity and flow.
• Analyze machinery and production systems to ensure optimal factory performance.
• Develop and implement operational sequencing and process specifications to enhance efficiency and quality.
• Support product line improvements and drive process modifications aligned with business needs.
• Lead and support factory improvement initiatives using lean methodologies.
• Deliver training and coaching to employees and management to build continuous improvement capabilities.
• Act as the key contact with regional manufacturing sites (Japan, China, Singapore, Malaysia, India, Thailand).
• Bachelor's degree in Industrial Engineering or related field.
• At least 5-8+ years of experience in Lean Engineering or continuous improvement in manufacturing.
• Strong background in factory improvement / operational excellence projects.
• Proven ability to train, coach, and influence stakeholders at all levels.
• Excellent communication skills with the ability to engage cross-functional teams.
• Advanced English communication skills (spoken and written).
• Ability to work independently and collaborate in a regional/global environment.
• Willingness to travel or work abroad occasionally.
• Carrier is An Equal.
• Opportunity/Affirmative.
• Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.
• Click on this.
• link.
• to read the Job Applicant's Privacy Notice.

Experience:

3 years required

Skills:

Software Development, Automation, Kubernetes, TypeScript, node.js, Python, SQL

Job type:

Full-time

• We are building AI powered systems that support multi marketplace operations, warehouse operations, financial workflows, and internal developer productivity across Southeast Asia. We're looking for an AI Developer who can build real AI features and contribute to our broader AI strategy helping shape how our teams adopt, scale, and govern AI across the company.
• This role is perfect for someone who enjoys hands-on engineering but also wants to influence how AI is used at an organizational level. aCommerce is a learning organiza ...
• Build and integrate AI features into internal tools, microservices, and automation workflows.
• Develop LLM powered assistants, RAG systems, and knowledge tools using models like Claude, GPT, and Gemini.
• Create APIs, pipelines, and services that make AI reliable, scalable, and safe.
• Improve developer productivity through AI augmented coding, testing, and documentation tools.
• Contribute to the company's AI roadmap and help identify high impact AI opportunities.
• Evaluate new AI tools, models, and platforms and recommend what we should adopt.
• Help define best practices for prompt engineering, model usage, and safe deployment.
• Support teams in adopting AI responsibly, including training, documentation, and internal guidelines.
• Work with architects to ensure AI systems follow governance, auditability, and data handling standards.
• Partner with product, engineering, and operations teams to translate business needs into AI solutions.
• Lead design discussions for new AI powered features and internal platforms.
• Help build a culture of experimentation and continuous improvement around AI.
• Capabilities.
• At least 5 years of software engineering experience.
• Proven experience working on agentic applications with the ability to articulate the tradeoffs between different approaches.
• Strong skills in Python, Node.js/TypeScript, or Go. Good awareness of SQL.
• Hands-on experience with LLM APIs and context engineering.
• Familiarity leveraging vector databases, RAG pipelines and memory systems.
• Experience building APIs, microservices, or event driven systems.
• Experience with enterprise SDLC tooling including version control, CI/CD systems, testing methodologies as they pertain to generative and agentic applications.
• Interest in AI strategy, evaluation, and responsible AI practices.
• Curiosity, problem solving mindset, and willingness to explore new tools.
• Experience with delivering applications to Kubernetes runtime environments a plus.
• Experience using workflow engines, automation, or internal developer platforms.

Experience:

6 years required

Skills:

Negotiation, Assembly, UNIX

Job type:

Full-time

• Remote Position: No.
• Region: Asia.
• Country: Thailand.
• State/Province: Chonburi.
• City: Laem Chabang.
• Summary.
• Incumbents apply in-depth knowledge in a specific area of specialization. Work is performed within established professional standards and practices. Works on problems of moderate scope where analysis of situations or data requires a review of identifiable factors and a considerable degree of judgement. Erroneous decisions or failure to achieve results may have a negative impact on the divisions/departments operations, schedules, and/or performance goals. Works under minimum Supervision. Seeks approval from others on matters outside of job/role scope. Receives instruction on specific assignment objectives and possible solutions. Unusual problems are solved jointly with manager. Work is reviewed for application of sound technical judgment. May lead a work group or project team consisting of technical and support staff. Builds internal and external relationships, with emphasis on those that facilitate the achievement of job/role accountabilities, such as relationships with key suppliers, customers and internal service.
• Detailed Description.
• Provides technical expertise on assigned materials for production or customer-identified material problems.
• Performs assessments/risk analysis and quality audits on potential suppliers.
• Generates product specifications and provides to supplier.
• Performs material qualification on prototype / sample material.
• Serves as the program/project interface to coordinate new product launches / introductions.
• Translates customer requirements into factory activities, provides factory activity time estimates for pricing model, documents associated factory support activities, and develops preliminary program timeline for customer quote.
• Defines process problems that lead to throughput or quality issues, evaluates cause of problem, implements solutions to stabilize processes, evaluates results.
• Participates in the selection of new manufacturing equipment.
• Evaluates software and hardware upgrades and new equipment.
• Sets equipment specifications and develops and runs qualification tests.
• Gathers, understands and converts customer data into usable manufacturing information.
• Verifies that specifications conform to customer, industry and company standards.
• Gathers, analyzes, sorts and distributes data to understand and solve quality issues.
• Creates and evaluates metrics to drive the quality improvement process.
• Develops test processes, test fixtures and specialized tools to automate test development.
• Develops assembly/test processes, associated fixtures, and specialized tools.
• Automates where ever possible.
• Develops and implements assembly/test strategy for new products including DFx analysis and feedback.
• Knowledge/Skills/Competencies.
• Engineering Foundation Competencies.
• In-depth knowledge and understanding of the design process for systems and printed circuit boards, subassemblies, or other related company products.
• In-depth knowledge of manufacturing processes and equipment used for systems and printed circuit boards and subassemblies.
• In-depth knowledge of industry and quality standards and SPC methodologies.
• In-depth knowledge of materials and components used in the construction of systems and printed circuit boards and subassemblies.
• In-depth knowledge of material science, robotics, machine programming.
• In-depth knowledge of product pricing, contracts and contract negotiations.
• Excellent customer contact, negotiation and problem resolution skills.
• Good presentation, database management and computer skills.
• Strong knowledge of statistical process control methods and techniques.
• Knowledge and understanding of the design process for systems and printed circuit boards.
• Ability to design tests, evaluate results and recommend solutions to improve the processes associated with SMT and optical manufacturing.
• Ability to evaluate, diagnose and troubleshoot problems.
• Strong knowledge of IT platforms, database design and programming languages.
• Strong knowledge of some or all of the following: UNIX, NT, database management system.
• Ability to evaluate materials, gather and analyze data and determine root cause of problems.
• Ability to manage several projects simultaneously and coordinate multiple, changing deadlines.
• Ability to effectively communicate with a variety of internal and external customers.
• Typical Experience.
• Three to six years of relevant experience.
• Typical Education.
• Bachelor's degree in a related field, or an equivalent combination of education and experience.
• Educational requirements may vary by geography.
• Notes.
• This job description is not intended to be an exhaustive list of all duties and responsibilities of the position. Employees are held accountable for all duties of the job. Job duties and the % of time identified for any function are subject to change at any time.

Experience:

3 years required

Skills:

node.js, Python

Job type:

Full-time

• Build and maintain applications, APIs, and pipelines that support AI models.
• Write clean, maintainable, AI-first code and participate in code & model reviews.
• Optimize AI solutions for latency, reliability, scalability, and performance.
• Ensure production AI systems meet quality, availability, and compliance standards.
• Stay updated on AI/ML frameworks and best practices, suggesting improvements to systems and processes.
• Bachelor's or Master's degree in Computer Science, AI, Software Engineering, or related field.
• Strong programming skills in Python, Node.js, or similar languages.
• Experience building AI applications, APIs, and integrating AI/ML models into scalable systems.
• Experience with AI/ML frameworks, LLM frameworks, and model serving tools.
• Understanding of system performance optimization, scalability, and reliability.

Experience:

5 years required

Skills:

Project Management, English, Thai

Job type:

Full-time

• Engineer, Reservoir Engineering Support.
• plays a critical role in safeguarding and unlocking the full production potential of PTTEP's Thai onshore assets. The position delivers high.
• quality reservoir engineering insights to drive field development decisions, proactive reservoir management, and well operations excellence. The role is essential to optimizing production, safeguarding reserves integrity, and implementing value.
• adding solutions that help mitigate natural decline and support long.
• term production sustainability in mature fields.
• Key Accountabilities.
• Provide reservoir engineering input to field development plans, ensuring alignment with Asset Planning and cross-functional teams.
• Manage, update and maintain reserves and reservoir.
• related datasets with high accuracy, including reserves estimation, periodic reserves reporting (monthly/quarterly/annual), and resources maturation.
• Plan and monitor reservoir management activities, including production diagnostics, performance evaluation, and subsurface/well issue identification for mature oil and gas fields.
• Propose, coordinate, and monitor well and drilling operations and data acquisition programs (e.g., formation pressure test program, well intervention, workover, surveillance) to optimize production, extend well life, and enhance subsurface understanding.
• Plan, execute, and oversee reservoir engineering activities such as well testing, well performance evaluation, decline analysis, and development well proposals to support production enhancement.
• Apply knowledge of production optimization concepts to improve well performance, maximize recovery and support continuous improvements in field performance.
• Professional Knowledge & Experiences.
• Bachelor's or higher in Petroleum/Reservoir Engineering, or related discipline.
• 3+ years of experience in Petroleum Engineering, Reservoir Engineering, or related subsurface functions.
• Experience in work process optimization and digitalization, including improving subsurface workflows, integrating data-driven tools, and enhancing efficiency in reservoir engineering processes.
• Good in both written and spoken English.
• Good project management capability, including planning, prioritization, and cross functional coordination.
• Good computer literacy with broad understanding of engineering and analytical software/tools.

Experience:

8 years required

Skills:

Mechanical Engineering, Cloud Computing, Web Services, Automation

Job type:

Full-time

• Perform design and equipment submittal review for new Data Centers in your region.
• Troubleshoot, conduct Root Cause Analysis (RCA) and create Corrective Action (CA) documentation for site/equipment failures.
• Directly support operational issues with ad-hoc training, complex operating procedure reviews, including critical equipment, and event support.
• Own the design for existing data center upgrades and design-solutions, which add capacity, improve availability, and increase efficiency.
• Interface with internal data center design engineering team, server hardware team, environmental health and safety team to promote standards that maintain consistency and reliability in services delivered.
• Work on concurrent projects, sometimes in multiple geographical regions.
• Initiate and lead engineering audits including on-site visits within Amazon's owned or colo data centers. Produce reports outlining risks with recommended mitigations and remediation's.
• Act as resident engineer during new construction projects. Support construction, commissioning, and turnover.
• About AWS.
• Diverse Experiences.
• Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
• Why AWS.
• Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
• Work/Life Balance.
• We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve.
• Inclusive Team Culture.
• AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
• Mentorship and Career Growth.
• We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
• Bachelor's degree in mechanical engineering or demonstrable equivalent professional experience.
• Minimum 8 years of relevant experience working in mission-critical facilities such as data centers, power generation plants, OEM vendors (Original Equipment manufacturers) or oil/gas facilities.
• Knowledge of Mechanical systems and design principles for data centers, including: the candidate would have deep and detailed knowledge of the Equipment having worked in a related Company/handled specifically these systems (Eg Chillers, AHUs, Piping, Valves, Air quality, Fuel Systems, Automation (BMS) etc).
• Strong written and verbal communication abilities, meticulous attention to detail, and commitment to maintaining high-quality work standards.

Skills:

Project Management

Job type:

Full-time

• Bangkok, Thailand.
• R0139628.
• HITACHI ENERGY (THAILAND) LIMITED.
• Engineering & Science.
• Full time.
• No.
• Project Management Engineering, Lead Engineer.
• Engineering authority in System Design & Studies for projects/tenders with low to high complexity for Substation, Power plant, Flexible A.C. Transmission Systems (FACTS) Technology aligned with Power Quality Solutions (PQS) Business and Power system business. Execution of complete engineering assignments on small, medium, or large projects/tender with cost effectively and in accordance with contract specifications and quality standards.
• Coordinate with Engineering Manager, Engineering Leads, Tendering team, Project managers, SCM, Primary/Mechanical Design, Secondary/Electrical design, Control Design, consultants, end customers etc. and provide required support in each Project / Tender.
• Power system Design.
• Specifying high voltage power system components such as power transformer, CT, VT, capacitor, reactor and alike. Evaluating supplier documents and conversant with international standards used in design and testing of high voltage power system components.
• Design studies such as substation insulation coordination, protection design, switching and transient overvoltage analysis, lightning study and alike.
• Delivery for complete power system solution to customer [Engineering-.
• Procurement].
• Power system Performance Evaluation.
• Grid integration and Dynamic Performance Studies (DPS) for power converter-based applications such as renewable energy sources, FACTS, HVDC etc. in power system analysis software such as ETAP,MATLAB, EMTP, PSCAD, PSS/E, RTDS, DIgSILENT etc.
• Correlating performance studies results with converter control parameters and impact on sizing of power components.
• Engineering development.
• Ensuring that engineering is developed with complete information and that all multidisciplinary information has been included. Leading development of new solutions for complex projects and challenges. Coordinating design with consortium partners. May act as a design authority for a particular engineering discipline and completes engineering assignments for that discipline.
• Construction support.
• Collaborating on project installation, commissioning and site activities, clarifying potential issues or providing solutions to correct engineering errors. Providing technical support to commissioning and start-up activities. Supporting Contract Manager in issuing claims (new scope of work, cost impact, time impact, risk quantifications, etc.).
• B.E/B. Tech, Electrical Engineering and/or with relevant work Experience of 5-10 years.
• Knowledge on Simulation tools like ETAP,PSCAD/PSSE/MATLAB/DIgSILENT/RTDS.
• Knowledge on International standards (i.e., IEEE/IEC/GIGRE).
• Individual contributor using in-depth knowledge in a specific area to execute complex or specialized projects /challenges often thinking independently to challenge traditional solutions.
• Comprehensive knowledge of related disciplines in the organization.
• Works independently, applying established standards.
• Excellent English and Thai speaker, good communication skills.
• Dynamic and Proactive, willing to grow in the organization.
• Team player, ready to play the role across the different countries.
• Taking ownership of assignment entrusted.
• 1 month of guaranteed bonus (Fix bonus) plus Performance Bonus. (Depending on employee's performance result and Business performance).
• 10 days annual leave (Service year 0-5), 15 days annual leave (Service year 6-10), flexible working policy, Flexibility working time.
• Benefit according to local standards: Heath-care insurance benefits to employees and their dependents, annual health checkup, Provident Funds (employees can contribute up to 15%).
• Growth possibility: Learning and development platform, career movement opportunity within organization.
• Possibility to gain experience in international environment.
• Please be advised that the benefits provided may differ depending on the employee's country of hire.
• Accessibility and reasonable accommodation.
• Qualified individuals with a disability may request a reasonable accommodation if you are unable or limited in your ability to use or access the Hitachi Energy career site as a result of your disability. You may request reasonable accommodations by completing a.
• general inquiry form.
• on our website. Please include your contact information and specific details about your required accommodation to support you during the job application process.
• This is solely for job seekers with disabilities requiring accessibility assistance or an accommodation in the job application process. Messages left for other purposes will not receive a response.
• Use of Al and automated tools in recruitment.
• As part of our recruitment process, Hitachi Energy uses digital and automated tools, including Al-supported solutions, to assist with activities such as application screening, job matching, and interview scheduling. These tools are designed to support our recruiters and do not replace human decision-making. Candidate data is processed in accordance with applicable data protection and employment laws as well as.
• Hitachi's Global Data Privacy Notice.
• Background Screening and Security Checks.
• As part of the hiring process, Hitachi Energy conducts pre-employment background checks that may include verification of employment history, education, criminal records, and other relevant information, in accordance with applicable laws.
• For certain roles particularly those involving access to sensitive information, financial responsibilities, client data, regulated environments, or security-sensitive functions additional or more comprehensive background or security screenings may be required. These may include, but are not limited to, enhanced criminal history checks, credit history reviews (where legally permissible), sanctions screening, or other due diligence measures aligned with the responsibilities of the position.
• The scope and depth of any background or security review will be determined based on the nature of the role and business necessity, and will always be conducted in compliance with applicable federal, state, and local laws. Candidates will be notified and, where required, asked to provide consent prior to the initiation of any such checks.

Experience:

3 years required

Skills:

Big Data, ETL

Job type:

Full-time

• Ensure data quality, consistency, and integrity across systems.
• Monitor, troubleshoot, and improve ETL/ELT processes for efficiency and performance.
• Collaborate closely with Data Scientists to ensure model-ready datasets and with Infrastructure & Technology under IT team to ensure scalability, reliability, and data security.
• Bachelor's or Master's degree in Computer Science, Data Engineering or related field.
• Experience with data pipelines development, ETL/ELT processes, cloud data platform, data warehouses, big data technologies, data quality, governance and security practices.
• Strong project planning, stakeholder management, and communication skills.
• Interested in projects related to AI integration.
• Able to work onsite at SCG Bangsue Head office.

Skills:

Business Development, Project Management, Negotiation, Purchasing, Data Entry, UNIX, SAP

Job type:

Full-time

• Req ID: 138236.
• Remote Position: No.
• Hiring Manager: Wallace Ng.
• Band: 10.
• Region: Asia.
• Country: Thailand.
• State/Province: Chonburi.
• City: Laem Chabang.
• General Overview.
• Functional Area: ENG - Engineering.
• Career Stream: OPE - Operations Engineering.
• Role: Consultant 1.
• SAP Short Name: CO1.
• Job Title: Operations Engineering Consultant 1.
• Job Code: CO1-ENG-OPS.
• Job Level: Band 10.
• Direct/Indirect Indicator: Indirect.
• Summary.
• Work requires application of in-depth knowledge of professional standards and precedents in area of specialty. Works on complex problems where analysis of situations or data requires and in-depth evaluation of various factors. Incumbents are accountable for quality of work delivered by external suppliers as applicable. Incumbents have decision-making authority and autonomy to deliver on goals of team. Influences others outside of team to ensure goals are met and resolves conflicts in an effective manner. Erroneous decisions or failure to achieve goals results in additional costs and serious delays in overall schedules of a site and/or regional function. May lead a multi-functional work group or project team consisting of one or more support staff and/or tech/professional staff, or may provide advice and guidance in area of specialty. May determine new methods and procedures. Seeks out new avenues for building internal and external relationships; maintains contacts with existing relationships. Interfaces with senior managers on issues related to the area of expertise. Interacts with and influences management and/or customers on significant issues.
• Detailed Description.
• Directs activities to support all manufacturing operations equipment availability (uptime), preventative maintenance of equipment, scheduling of technician training, project planning and implementation, scheduling of equipment installation, purchasing of spare parts and supplies for area related needs.
• Supports and manages customer test process sustaining effort including incorporation of engineering changes and identifying yield improvements efforts.
• Manages activities pertaining to new product test development and implementation into manufacturing.
• May manage a group of engineers with the responsibility for the completion of multiple related projects encompassing several different areas (i.e. Quality, Manufacturing, Supplier, etc.).
• Tracks the execution of the projects under development.
• Assists upper management and business development teams by providing technical input and direction to assist in meeting the project goals or customer requirements.
• Ensures that any customer or manufacturing issues related to existing products are addressed with high priority.
• Conduct engineering analysis and/or testing of products to validate that products meet customer requirements.
• Knowledge/Skills/Competencies.
• Engineering Foundation Competencies.
• In-depth knowledge and understanding of the design process for systems and printed circuit boards, subassemblies, or other related company products.
• In-depth knowledge of manufacturing processes and equipment used for systems and printed circuit boards and subassemblies.
• In-depth knowledge of industry and quality standards and SPC methodologies.
• In-depth knowledge of materials and components used in the construction of systems and printed circuit boards and subassemblies.
• In-depth knowledge of material science, robotics, machine programming.
• In-depth knowledge of product pricing, contracts and contract negotiations.
• In-depth knowledge of design engineering (e.g., analog circuit design, digital circuit design, digital integrated circuit design, etc.) for systems and printed circuit boards.
• In-depth knowledge of IT platforms, database design and programming languages.
• In-depth knowledge of manufacturing and SCM/Logistics information processes.
• Excellent customer contact, negotiation and problem resolution skills.
• Excellent project management, presentation, database management and computer skills.
• Strong knowledge of statistical process control methods and techniques.
• Ability to design tests, evaluate results and recommend solutions to improve the processes associated with SMT and optical manufacturing.
• Ability to evaluate, diagnose and troubleshoot problems.
• Strong knowledge of IT platforms, database design and programming languages.
• Strong knowledge of some or all of the following: UNIX, NT, database management system.
• Ability to evaluate materials, gather and analyze data and determine root cause of problems.
• Ability to simultaneously manage several projects and coordinate multiple, changing deadlines.
• Ability to effectively communicate with a wide variety of internal and external customers.
• Ability to effectively organize, manage and motivate team members from a wide variety of departments and with a diverse group of skill sets.
• Physical Demands.
• Duties of the position are performed in a manufacturing environment with frequent exposure to noise, dust, chemicals, operating machinery, temperature extremes, hazardous substances, etc.
• Duties may require extended periods of sitting and sustained visual concentration on a computer monitor or on numbers and other detailed data.
• Repetitive manual movements (e.g., data entry, using a computer mouse, using a calculator, etc.) are frequently required.
• Typical Experience.
• Eight plus years of experience.
• Typical Education.
• Bachelor's degree in a related field, or an equivalent combination of education and experience.
• Educational requirements may vary by geography.
• Notes.
• This job description is not intended to be an exhaustive list of all duties and responsibilities of the position. Employees are held accountable for all duties of the job. Job duties and the % of time identified for any function are subject to change at any time.

Skills:

YouTube, English

Job type:

Full-time

• Vehicle Regulations/Government Policies/Trends information management.
• Company position engagement with newly established or amended Vehicle Regulations/Government Policies/Trends.
• Industry association activity involvement.
• Plan and execution of homologation activities to achieve project milestones.
• Engineering background (Bachelor Degree or higher).
• Experiences in Automotive business (min.2 years).
• English communication in Good Level (Listening/Read/Write).
• Good interpersonal skill.
• If you are interested in this job role, please prepare your updated resume or LinkedIn profile for the application process through the Nissan Job Portal.
• Only shortlisted candidate will be contacted for an interview".
• For more information about Nissan's products, services, and commitment to sustainable mobility, visit nissan-global.com. You can also follow us on Facebook, Instagram, Twitter and LinkedIn and see all our latest videos on YouTube.
• Why Nissan?.
• You will definitely get the right answers why you should join us through watching the video on YouTube.
• Samut Prakan Thailand.

Experience:

2 years required

Skills:

Project Management, Microsoft Office, Packaging Design, YouTube, English

Job type:

Full-time

• Lead/coordinate with part supplier for packaging design for both new model and current model.
• Perform Packaging engineer routine jobs such as input/recheck parameter in system, validate Packaging design (from supplier) base on NISSAN standard including testing/evaluation.
• Initiate Packaging improvement activity to meet customer's requirements (support Oversea plant Tdc).
• Create work instruction or skills training related to packing operations.
• Collaborate and work cross-functional with related functions including global functions to enhance packaging cost competitive and other challenge such as CARBON neutral.
• Provide data/assumptions and calculate logistics cost for project feasibility study.
• Bachelor's degree in Engineering, Supply Chain and Logistics Management or related field.
• 2-3 years experience in packaging design/ packing operation.
• Have experience to implement project or have project management skills is preferable.
• Good skills in Microsoft Office (Excel, PowerPoint).
• Can handle muti-tasks in very limited timeline and enjoy working as a team (even under pressure).
• Strong communication, prioritization and time management skill.
• Collaborative mindset with the ability to work cross-cultural and work in different time zone.
• Logical thinking and have strong analytical skills.
• Fast learner with positive mindset & continuous self-challenge.
• Fluent in English: Listening, Reading and Writing skills.
• Work Location: NMT-ILN-LCB (W/H at Leamchabang, Sriracha, Chonburi) & NMT-SCM office plant#2.
• Have driving license (can go to supplier in Chonburi, Samutprakarn, Rayong herself/himself).
• If you are interested in this job role, please prepare your updated resume or LinkedIn profile for the application process through the Nissan Job Portal.
• Only shortlisted candidate will be contacted for an interview".
• For more information about Nissan's products, services, and commitment to sustainable mobility, visit nissan-global.com. You can also follow us on Facebook, Instagram, X and LinkedIn and see all our latest videos on YouTube.
• Why Nissan?.
• You will definitely get the right answers why you should join us through watching the video on YouTube.
• Samut Prakan Thailand.

Skills:

Product Development, Cloud Computing, SOLIDWORKS, CAD, English

Job type:

Full-time

• Remote Position: No.
• Region: Asia.
• Country: Thailand.
• State/Province: Chonburi.
• City: Laem Chabang.
• Summary.
• As a Senior Subject Matter Expert (SME) in Thermal Engineering, you will take a technical authority role in leading thermal-related technical decisions, cross-team collaboration, and problem-solving throughout the entire product development and mass production management process. You will also be responsible for inheriting and innovating thermal engineering expertise to ensure that product thermal management designs meet top industry standards and support mass production.
• Detailed Description.
• Lead thermal engineering evaluations for new products, design decisions, and risk mitigation.
• Guide thermal management in DFx, PCB layout, and heat dissipation design (compliance with ASHRAE, NEBS).
• Collaborate with cross-functional teams (design, manufacturing, quality, reliability) to solve thermal issues.
• Drive root cause analysis with CFD simulations; manage failure analysis at manufacturing sites.
• Lead verification plans for certification programs; review reliability test results.
• Develop thermal testing standards; guide team in using thermal testing tools (thermocouples, IR cameras, wind tunnels).
• Support thermal certification of second-source components; review heat dissipation compatibility.
• Participate in factory readiness and production line thermal setup.
• Coordinate cross-project resources (equipment, manpower) to avoid conflicts.
• Conduct training, build knowledge base, and share best practices on thermal debugging.
• Research next-gen cooling technologies (liquid cooling, AI workload thermal management) and evaluate feasibility.
• Knowledge/Skills/Competencies.
• Proficiency in heat transfer principles (conduction, convection, radiation) and fluid dynamics.
• Skilled in using CFD tools such as ANSYS Icepak and FloTHERM, as well as CAD software such as SolidWorks.
• In-depth understanding of data center cooling technologies (air cooling/liquid cooling solutions), thermal impact of server PCBs, and heat dissipation challenges of AI/HPC hardware. Ability to interpret and revise industry standards.
• Strong leadership, strategic thinking, cross-team communication, and knowledge transfer skills.
• Excellent command in English communications.
• Typical Experience.
• 10+ years of experience in thermal engineering in data centers, HPC, or cloud computing fields.
• Experience in leading thermal management projects for server racks, CDUs, and edge computing devices; successful cases in solving extremely complex thermal issues (such as heat dissipation for high-density GPU clusters).
• Typical Education.
• A Bachelor's Degree in Electronic Engineering, Electromechanical Engineering, Mechanical Engineering, or related fields, or an equivalent combination of education and experience.
• Advanced studies in business/operations/technology are recommended.

Experience:

5 years required

Skills:

Project Management, English

Job type:

Full-time

• Engineer, Reservoir Engineering.
• is to perform and support reservoir.
• engineering input to field development plan, reservoir management, and well operations activities to optimize production of operating fields as well as produce credible and value-adding recommendations for PTTEP ED.
• Key Accountabilities.
• Provide reservoir engineering input to field development plan in coordination with Asset Planning and other related parties.
• Manage, update and maintain data related to current reserves, and reservoir of production fields e.g. reserves estimation, monthly/ quarterly/ annual reserves data, and resources maturation.
• Plan and monitor the reservoir activities, production (operations) data related to oil/ gas reservoir management.
• Propose, coordinate and monitor economically well operations activities and data acquisition program to ensure production optimization and reservoir surveillance e.g. well intervention, work over.
• Plan, manage and ensure reservoir engineering activities to support and optimize production of operating fields e.g. well testing, well performance evaluation, development well proposals, horizontal well / IOR / EOR planning and implementation.
• Understand commingled production optimization concept in monobore well completion design.
• Professional Knowledge & Experiences.
• Bachelor's or higher in Petroleum/Reservoir Engineering.
• 5+ years of experience in Petroleum Engineering/Reservoir Engineering/Well Production Optimization.
• Familiar with well factory concept and process.
• Experience in block G1/61 (Erawan, Platong or Satun & Funan).
• is a plus.
• Fluent in both written and spoken English.
• Good project management skill is required.
• Broad based computer knowledge.

Experience:

3 years required

Skills:

DevOps

Job type:

Full-time

• Monitor and manage infrastructure for AI workloads, ensuring reliability and scalability.
• Automate model training, versioning, and deployment processes.
• Implement best practices for continuous integration, testing, and deployment of AI systems.
• Collaborate closely with the IT team to ensure AI applications meet system performance, availability, and scalability standards.
• Bachelor's degree in Computer Science, Information Technology, or related field.
• Experience with CI/CD pipelines and automation tools.
• Strong knowledge of cloud infrastructure and container technologies.
• Experience managing infrastructure for scalable applications or data workloads.
• Familiarity with infrastructure-as-code and system monitoring tools.
• Understanding of system reliability, availability, and security practices.

Experience:

15 years required

Skills:

Electrical Engineering, Industrial Engineering, Enthusiastic, Architecture, Electronics

Job type:

Full-time

• Lead, grow, and develop a distributed team of AI/ML engineers who work across manufacturing sites and solve site-specific operational problems.
• Establish the technical vision, engineering standards, delivery practices, and talent strategy for manufacturing AI across the organization.
• Create a strong partnership model with plant leadership, manufacturing engineering, process engineering, yield, quality, operations, IT, and enterprise data teams.
• Balance local site responsiveness with reusable platforms, common architectures, shared components, and responsible AI practices that scale across plants.
• Set and execute a multi-year roadmap for AI/ML applications in manufacturing, aligned to business priorities and measurable operational outcomes.
• Identify and prioritize high-impact opportunities across process optimization, yield improvement, visual inspection, defect classification, predictive maintenance, anomaly detection, root-cause analysis, quality, scheduling, and engineering productivity.
• Guide the architecture, design, development, validation, deployment, and lifecycle management of production-grade AI/ML systems used in manufacturing workflows.
• Define engineering patterns for data pipelines, feature and model management, experiment tracking, APIs, user interfaces, monitoring, cybersecurity, reliability, and model performance management.
• Ensure solutions work with real manufacturing data and systems, including MES, SPC, QMS, equipment and sensor data, inspection systems, yield systems, ERP, databases, engineering reports, and other structured and unstructured sources.
• Drive disciplined problem definition and value measurement, connecting technical delivery to improvements in cycle time, throughput, yield, scrap, quality, cost, safety, and decision speed.
• Partner with site teams to understand workflows, constraints, process variation, data quality, user needs, and adoption barriers; ensure solutions are usable by engineers, operators, and business stakeholders.
• Build and maintain strong relationships with senior manufacturing and technology leaders, communicating technical tradeoffs, risks, investment needs, and results with clarity.
• Promote effective use of classical machine learning, deep learning, computer vision, optimization, statistical methods, LLMs, and generative AI where they are fit for purpose.
• Establish governance for responsible, secure, explainable, and maintainable AI in manufacturing, including validation, human oversight, change control, and production support.
• 15+ years of progressive experience in software engineering, AI/ML engineering, data science, or a closely related technical discipline, including significant leadership experience.
• Bachelor's or master's degree in engineering, computer science, electrical engineering, industrial engineering, data science, or a related field; advanced technical education is preferred.
• Deep hands-on understanding of software engineering practices, distributed systems, cloud or edge architectures, APIs, data platforms, testing, observability, security, and production operations.
• Practical knowledge of manufacturing processes, process variation, yield, quality systems, equipment data, inspection, traceability, root-cause analysis, and the realities of plant operations.
• Willingness and ability to travel 30% or more to manufacturing sites and partner locations.
• Preferred Qualifications.
• Experience in semiconductor, photonics, electronics, optical components, precision manufacturing, or other high-volume advanced manufacturing environments.
• Experience with manufacturing software and data ecosystems such as MES, SPC, QMS, ERP, equipment automation, inspection platforms, historian systems, and yield management systems.
• Experience scaling AI/ML capabilities across multiple plants, regions, or business units with different processes, data maturity, and operating models.
• Experience applying generative AI, knowledge retrieval, agentic workflows, or LLM-enabled tools to manufacturing, engineering, quality, or operations use cases.
• 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.

Skills:

Electrical Engineering, Product Development, Financial Reporting, Project Management, Problem Solving, Recruitment, Negotiation, Accounting, Assembly

Job type:

Full-time

• Ability to manage/lead complex, multiple line engineering projects that may also involve other functions. Demonstrate solid understanding of the technical, financial and people aspects of the project. Able to create a project/change management plan and ensure that the project is delivered within the assigned time and budget. Ability to recognize project barriers and develop mitigation plans.
• Leadership.
• Demonstrate "People & Team Leadership Behaviors" as per Celestica Leadership Imperat ...
• Financial Acumen / Business Planning.
• Ability to create financial plans for your projects, align them internally with your line of management and other functions and externally if needed. Create project plans, profitability calculations, risk and sensitivity analysis, able to recognize barriers and mitigate profitability risks. Fully knowledgeable about internal and external financial reporting, accounting and tax requirements relevant to your area of expertise.
• The following competencies may also be required: Coaching/Mentoring; Communication/Negotiation/Presentation; Creative Problem Solving; Customer Interaction/Stakeholder Management; Quality & Lean; Working Effectively with Others; D/PFMEA; 8D/Corrective Action; Equipment Safety; Design of Experiments (DOE).
• Typical Experience.
• 10+ years of work experience in PCB assembly manufacturing field.
• Typical Education.
• Degree or higher in Mechanical/Chemical/Electrical Engineering or equivalent.
• Notes.
• This job description is not intended to be an exhaustive list of all duties and responsibilities of the position. Employees are held accountable for all duties of the job. Job duties and the % of time identified for any function are subject to change at any time.
• Celestica is an equal opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on any protected status (including race, religion, national origin, gender, sexual orientation, age, marital status, veteran or disability status or other characteristics protected by law).
• At Celestica we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. Special arrangements can be made for candidates who need it throughout the hiring process. Please indicate your needs and we will work with you to meet them.
• Celestica (NYSE, TSX: CLS) enables the world's best brands. Through our recognized customer-centric approach, we partner with leading companies in Aerospace and Defense, Communications, Enterprise, HealthTech, Industrial, Capital Equipment and Energy to deliver solutions for their most complex challenges. As a leader in design, manufacturing, hardware platform and supply chain solutions, Celestica brings global expertise and insight at every stage of product development - from drawing board to full-scale production and after-market services for products from advanced medical devices, to highly engineered aviation systems, to next-generation hardware platform solutions for the Cloud. Headquartered in Toronto, with talented teams spanning 40+ locations in 13 countries across the Americas, Europe and Asia, we imagine, develop and deliver a better future with our customers.
• Celestica would like to thank all applicants, however, only qualified applicants will be contacted.
• Celestica does not accept unsolicited resumes from recruitment agencies or fee based recruitment services.

Skills:

Electronics, Automation

Job type:

Full-time

The company, founded in 1988, is one of the leading producers in the world for power and thermal management solutions. Delta is also a major regional player in several product segments including industrial automation, displays, and networking. As an energy-saving solutions provider with core competencies in power electronics and innovative research and development, Delta's business categories include Power Electronics, Automation, and Infrastructure.

Experience:

6 years required

Skills:

Cloud Computing, Architecture, Postgre SQL, Automation, Leadership Skill

Job type:

Full-time

• AI & Advanced Analytics Enablement.
• Lead the design, development, and deployment of enterprise AI, Machine Learning, and Generative AI solutions to support business transformation (e.g., pricing, promotion, automation, recommendation, demand forecasting, customer insights, and intelligent decision support).
• Build and manage scalable data pipelines supporting AI/ML model training, inference, feature engineering, Feature Store, RAG knowledge bases, and LLM applications.
• Develop reusable datasets, AI-ready data products, feature engineering pipelines, and semantic data models for AI Engineers, Data Scientists, and Business Analytics teams.
• Partner closely with AI Engineers to design, deploy, productionize, and scale AI/ML models, LLM applications, Agentic AI, AI Chatbots, Recommendation Systems, and Mobile AI applications.
• Design and maintain data ingestion pipelines for structured, semi-structured, and unstructured data from enterprise systems, APIs, databases, files, event streams, IoT devices, and third-party platforms.
• Develop scalable data pipelines supporting document ingestion, embedding generation, metadata management, vector indexing, and retrieval workflows for RAG applications.
• Identify opportunities to embed AI into business workflows and operational decision-making to improve efficiency, customer experience, and business value.
• Data Platform & Engineering Leadership.
• Own end-to-end enterprise data architecture from source systems to Data Lake, Lakehouse, Data Warehouse, Feature Store, Semantic Layer, and AI-serving layers.
• Design, develop, and optimize scalable ETL/ELT pipelines supporting batch, micro-batch, streaming, and near real-time data processing.
• Design and maintain workflow orchestration for enterprise data pipelines using Databricks Workflows, Apache Airflow, or equivalent orchestration frameworks.
• Develop enterprise-scale Big Data solutions using Apache Spark and distributed computing frameworks.
• Design scalable logical and physical data models while optimizing database architecture for performance, scalability, reliability, and cost efficiency.
• Ensure enterprise data quality, governance, lineage, metadata management, observability, security, and compliance across data platforms.
• Implement automated data validation, monitoring, logging, alerting, and observability to ensure production-grade data reliability.
• Optimize SQL queries, Spark workloads, partitioning strategies, storage formats, and compute resources for maximum performance and cost efficiency.
• Analyze complex technical issues, identify root causes, troubleshoot production problems, and recommend infrastructure and platform improvements.
• Select, evaluate, and integrate modern data engineering tools, cloud technologies, and AI platform frameworks to support evolving business needs.
• Continuously evaluate emerging technologies in Big Data, Lakehouse Architecture, Data Platform Engineering, Cloud Computing, and AI Platform Engineering.
• AI Platform & Infrastructure.
• Build and maintain enterprise AI data infrastructure supporting LLM, RAG, Agentic AI, AI Chatbots, Recommendation Engines, Intelligent Search, and Intelligent Automation platforms.
• Design and implement scalable AI data pipelines supporting batch, streaming, vector search, embedding pipelines, and Retrieval-Augmented Generation (RAG) architectures.
• Design scalable APIs, data services, and integration layers connecting AI applications with enterprise systems and digital platforms.
• Collaborate with AI Engineers to prepare high-quality datasets for LLM fine-tuning, prompt engineering, model evaluation, inference, and continuous model improvement.
• Support deployment and operationalization of AI products using DataOps, MLOps, CI/CD, containerization, and modern software engineering practices.
• Drive continuous improvements in platform scalability, availability, security, observability, resilience, and operational efficiency.
• Team Leadership & Capability Building.
• Lead, mentor, and develop a high-performing team of Data Engineers, AI Engineers, and Analytics professionals.
• Foster engineering excellence through best practices in architecture design, coding standards, testing, code reviews, deployment, technical documentation, and software engineering.
• Drive architecture reviews, technical design reviews, engineering governance, and platform standardization across the engineering organization.
• Define engineering standards, technical roadmaps, platform architecture, and technology strategy aligned with business objectives.
• Collaborate closely with Product Owners, Business Stakeholders, AI Engineers, Data Scientists, Solution Architects, Infrastructure, and DevOps teams.
• Provide hands-on technical leadership with a strong engineering mindset and willingness to troubleshoot complex production systems.
• Promote continuous learning, knowledge sharing, innovation, and adoption of emerging technologies across the engineering team.
• Bachelor's degree or higher in Computer Science, Computer Engineering, Information Technology, Artificial Intelligence, Data Engineering, Management Information Systems, or a related field.
• 6+ years of experience in Data Platform Engineering, Data Engineering, Big Data, or AI Platform development, with experience leading engineering teams.
• Strong experience designing and implementing enterprise-scale Data Lake, Lakehouse, Data Warehouse, or Modern Data Platform architectures.
• Expert proficiency in SQL, Databricks SQL, PostgreSQL, database design, and query performance optimization.
• Strong programming skills in Python.
• Hands-on experience with Apache Spark, Databricks, Delta Lake, Spark SQL, Unity Catalog, and distributed data processing.
• Strong experience designing and developing scalable ETL/ELT pipelines and workflow orchestration.
• Experience with streaming technologies such as Spark Structured Streaming, Kafka, or equivalent.
• Experience building enterprise-scale data platforms supporting AI/ML, Advanced Analytics, and Generative AI applications.

Experience:

6 years required

Skills:

Data Entry, Automation, Assembly, SAP

Job type:

Full-time

• Remote Position: No.
• Region: Asia.
• Country: Thailand.
• State/Province: Chonburi.
• City: Laem Chabang.
• General Overview.
• Functional Area: Engineering.
• Career Stream: Equipment Engineering Manufacturing.
• SAP Short Name: MG1-ENG-EQM.
• IC/MGR: Manager.
• Direct/Indirect Indicator: Indirect.
• Summary.
• The Manager, Manufacturing Equipment Engineering is responsible for leading and managing the employees who develop and/or source manufacturing equipment to support manufacturing operations goals. Scope of the role for employees may include design and development of equipment, qualification, deployment to manufacturing, improving performance and supporting programs to optimize efficiencies while maintaining a safe working environment.
• Detailed Description.
• Initiate the development and implementation of off the shelf standard solutions and/or new standard automation solutions to support customer product road map using Celestica Automation E2E process and tools such as Business Case, Design for Automation Assembly (DFAA) and smart sheet Project Planning.
• Initiate the hardware and software improvements of automated lines and off the shelf equipment, via the analysis of Overall Equipment Efficiency (OEE) and other available data.
• Lead the collaboration and the communication with multiple internal and external stakeholders including solution providers for design approval.
• Point of escalation for complex technical problems.
• Be accountable for the installation, qualification, maintenance and operational performance of complex equipment within a value stream or overall responsibility for common equipment sets across the entire factory.
• Support capital planning processes with the leadership team, develop forecasts for equipment capacity and recommend CapEx plans to meet site targets.
• Set yearly plans and goals for the department and give direction on expected performance and provide regular performance evaluations and ongoing feedback. Accountable for all department objectives and achieving agreed targets for key performance indicators.
• Knowledge/Skills/Competencies.
• Refer to technical skills below.
• Physical Demands.
• Duties of this position are performed in a normal office environment.
• Duties may require extended periods of sitting and sustained visual concentration on a computer monitor or on numbers and other detailed data.
• Repetitive manual movements (e.g., data entry, using a computer mouse, using a calculator, etc.) are frequently required.
• Occasional travel may be required.
• Typical Experience.
• 4 to 6 years in a similar role or industry.
• Typical Education.
• Bachelor degree or consideration of an equivalent combination of education and experience.
• Educational Requirements may vary by Geography.
• Notes.
• This job description is not intended to be an exhaustive list of all duties and responsibilities of the position. Employees are held accountable for all duties of the job. Job duties and the % of time identified for any function are subject to change at any time.