{ "count" : 81897, "data" : [ { "id" : "6a305a95f292fd229cf52ea5", "title" : "Manufacturing Strategy Intern", "company" : "Iovance Biotherapeutics", "industry" : "Biotech", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for an entry-level Manufacturing Strategy Intern in the Biotech industry in Philadelphia, USA, adjusted for internship seniority and company size." }, "location" : "Philadelphia, Pennsylvania, United States", "locations" : [ "Philadelphia", "Pennsylvania", "United States" ], "timestamp" : "2026-06-16T08:02:40.079", "fingerprint" : "6a3f7080b8e0b2ad65eb159e9653f514c027a0d7c88b9737c986c0d1c5bc1e6c", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/iovancebiotherapeutics/jobs/5263156008", "externalId" : "5263156008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Philadelphia", "state" : "Pennsylvania", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.9527237,-75.1635262" } ], "locationText" : "Philadelphia, Pennsylvania, United States", "employmentType" : "INTERNSHIP", "minimumEducation" : "Associate's", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Excel, PowerPoint, Outlook", "professionalSkills" : [ "Interpersonal skills", "Team-building skills", "Analytical skills", "Organization skills", "Conceptual thinking", "Judgment", "Troubleshooting", "Problem-solving" ], "hardSkillsList" : [ "Data gathering", "Data entry", "Basic analysis", "Process observation" ], "hardSkills" : [ { "name" : "Data gathering", "level" : "intermediate" }, { "name" : "Data entry", "level" : "intermediate" }, { "name" : "Basic analysis", "level" : "intermediate" }, { "name" : "Process observation", "level" : "intermediate" } ], "majorSkills" : "Process optimization, Data analysis, Project management", "majorSkillsList" : [ "Process optimization", "Data analysis", "Project management" ], "coreResponsibilities" : "Support Capital Planning Program, Gather data, Prepare spreadsheets, Perform basic analysis, Support project management, Record meeting minutes, Track action logs, Follow up on actions, Develop flowcharts, Identify critical steps, Identify timelines, Identify resource requirements, Catalogue opportunities, Assist in developing roadmaps, Assist in implementing roadmaps, Optimize business processes, Identify appropriate metrics, Collect relevant data, Create visualizations, Monitor project status, Track opportunity benefits, Perform process observation, Perform data gathering, Perform data entry, Perform analysis using Excel", "teamCollaboration" : "Support various departments; Interact with Finance; Interact with Regulatory; Interact with Clinical; Interact with Commercial Operations", "projectManagementSkills" : [ "Project management", "Roadmap development" ], "domainKnowledge" : "Tumor infiltrating lymphocyte therapy; Cell therapy; Immuno-oncology", "domainList" : [ "tumor-infiltrating-lymphocyte-therapy", "cell-therapy", "immuno-oncology" ], "domainSpecificKnowledge" : [ "Tumor infiltrating lymphocyte therapy", "Cell therapy", "Immuno-oncology" ], "toolProficiency" : [ "Microsoft Office", "Excel", "PowerPoint", "Outlook" ], "communicationSkills" : "Written communication; Verbal communication", "documentationSkills" : "Record meeting minutes; Develop flowcharts", "problemSolvingSkills" : "Proactive problem-solving; Analytical skills; Conceptual thinking; Judgment; Troubleshooting; Problem-solving; Handle multiple priorities; Meet deadlines", "specialRequirements" : "Work in office and laboratory, Risk of exposure to hazardous or biological waste", "qualificationsBasic" : "Currently enrolled in degree program, Completed at least one year of study, Proficient with Microsoft Office, Excel, PowerPoint, Outlook", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Iovance Biotherapeutics aims to be the global leader in innovating, developing and delivering tumor infiltrating lymphocyte (TIL) therapy for people with cancer. We are pioneering a transformational approach to treating cancer by harnessing the ability of the human immune system to recognize and attack diverse cancer cells in each patient. The Iovance TIL platform has demonstrated promising clinical data across multiple solid tumors. We are committed to continuous innovation in cell therapy, including gene-edited cell therapy, which may be a promising option for patients with cancer. Overview Iovance Biotherapeutics is an immuno-oncology company focused on the development and commercialization of novel cancer immunotherapies based on tumor infiltrating lymphocytes (TIL). Iovance is seeking an Intern to support various activities and projects across Manufacturing. This role will support various departments and teams across the organization with exposure to Operations, Supply Chain, Capital Planning, interacting with Finance, Regulatory, Clinical and Commercial Operations Responsibilities: Support the Capital Planning Program by gathering date, preparing spreadsheets and performing basic analysis Support project management, recording of meeting minutes, action logs, action follow up, etc. Develop flowcharts, identifying critical steps, timelines and resource requirements to identify and catalogue opportunities. Assist in the development and implementation of roadmaps that focus on the optimizing business processes across departments Work with leadership to identify appropriate metrics at various employee levels, collect relevant data, and create visualizations that monitor project status and opportunity/benefits tracking. Perform basic process observation, including data gathering and data entry to perform analysis using Excel. Performs other duties as assigned by leader. Education: Must be currently enrolled in a degree program at an accredited university/college. Must have completed at least one year of study at an accredited university/college prior to internship commencing. Strong interpersonal and team-building skills, effective communication (both written and verbal), proactive problem-solving and analytical skills. Excellent organization skills and an ability to prioritize effectively to deliver results within reasonably established guidelines. Proficient with Microsoft Office (Excel, PowerPoint, and Outlook). Mental: Clear and conceptual thinking ability; excellent judgment, troubleshooting, problem-solving, analysis, and discretion; ability to handle work-related stress; ability to handle multiple priorities simultaneously; and ability to meet deadlines. Work Environment This position will work in both an office and a laboratory setting. When in the lab, there may be a risk of exposure to hazardous or biological waste within the environment through receipt, transport, storage, preparation, dispensing, administration, cleaning, and/or disposal of contaminated areas and waste. #LI-onsite The statements contained in this document are intended to describe the general nature and level of work being performed by a colleague assigned to this description. They are not intended to constitute a comprehensive list of functions, duties, or local variances. Management retains the discretion to add or to change the duties of the position at any time. Iovance is committed to cultivating and offering a diverse and inclusive work environment. As an equal-opportunity employer, our employees and applicants will be considered without regard to an individual’s race, color, religion, sex, pregnancy, national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information, military and veteran status, and any other characteristic protected by applicable law. If you need assistance or accommodation to apply to one of our opportunities, please contact careers@iovance.com. By voluntarily providing information and clicking “Submit Application”, you explicitly consent to the collection and use of your personal information for the purposes described above and in our Candidate Privacy Notice.", "summaryDescription" : "Manufacturing Strategy Intern at Iovance Biotherapeutics. Skills: Process optimization, Data analysis, Project management. Support Capital Planning Program. Gather data", "postedDate" : "2026-06-15T23:26:43.116", "createdAt" : "2026-06-15T23:26:43.116", "lastUpdated" : "2026-06-16T08:02:40.079", "ingestTimestamp" : "2026-06-15T23:26:43.116", "mongoId" : "6a305a95f292fd229cf52ea5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 45000, "salaryAnnualMax" : 65000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Data gathering", "Data entry", "Basic analysis", "Process observation", "Process optimization", "Data analysis", "Project management", "Interpersonal skills", "Team-building skills", "Analytical skills", "Organization skills", "Conceptual thinking", "Judgment", "Troubleshooting", "Problem-solving", "Roadmap development", "Tumor infiltrating lymphocyte therapy", "Cell therapy", "Immuno-oncology", "Microsoft Office", "Excel", "PowerPoint", "Outlook" ], "skillCount" : 23, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "_score" : 1167.9777, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a10358e58b93c861e166185", "title" : "Manager Wet Stock", "company" : "Alimentation Couche-Tard Inc.", "industry" : "Logistics", "salary" : { "min" : 1500000.0, "max" : 2500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager Wet Stock in India, adjusted for seniority, retail industry, and company size." }, "location" : "India", "locations" : [ "India" ], "timestamp" : "2026-06-16T13:10:07.410", "fingerprint" : "67e7bfbfb4ceb4de87162af08cc6b5276ada73a5f1bc4559119453d6a7f8dd01", "source" : "workday", "language" : "en", "applyUrl" : "https://circlek.wd3.myworkdayjobs.com/CircleKStoreJobs/job/Support-Office-India/Manager-Wet-Stock-Management_R591141", "externalId" : "R591141", "industryFunction" : { }, "locationPoint" : "20.5937,78.9629", "structuredLocations" : [ { "country" : "India", "continent" : "as", "workMode" : "onsite" } ], "locationText" : "India", "employmentType" : "FULL_TIME", "minimumEducation" : "Higher educational level", "experienceMinYears" : 5, "experienceMaxYears" : 7, "experienceLevel" : "Manager", "professionalSkills" : [ "Wet stock management", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement", "Analytics" ], "hardSkillsList" : [ "Wetstock analytics", "Reporting" ], "softSkillsList" : [ "Leadership", "Interpersonal skills" ], "hardSkills" : [ { "name" : "Wetstock analytics", "level" : "intermediate" }, { "name" : "Reporting", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Interpersonal skills" } ], "majorSkills" : "Wet stock management, Team leadership, Process optimization", "majorSkillsList" : [ "Wet stock management", "Team leadership", "Process optimization" ], "coreResponsibilities" : "Lead and manage wet stock analytics team, Oversee monitoring and analysis of wetstock management, Ensure accuracy and efficiency of wetstock monitoring systems, Identify and address areas for improvement, Collaborate with cross-functional teams to develop strategies, Implement strategies for optimizing wetstock management, Conduct audits for compliance, Drive development of advanced reports and dashboards, Maintain advanced reports and dashboards, Provide insights into wetstock metrics and trends, Perform reviews for reporting, Provide feedback for reporting, Establish communication with key stakeholders, Develop communication with key stakeholders, Report major faults and issues to BUs", "teamCollaboration" : "Partner with multiple departments; Collaborate with cross-functional teams", "domainKnowledge" : "Wet stock management; Logistics; Supply chain; Compliance; Industry standards; Regulatory requirements", "domainList" : [ "wet-stock-management", "logistics", "supply-chain", "compliance", "industry-standards", "regulatory-requirements" ], "domainSpecificKnowledge" : [ "Wet stock management", "Logistics", "Supply chain", "Compliance", "Industry standards", "Regulatory requirements" ], "communicationSkills" : "Convey complex data insights", "problemSolvingSkills" : "Identify and address areas for improvement", "outcomesObjectives" : "Grow F&L globally", "qualificationsBasic" : "5-7 years relevant experience, Work experience in foreign multicultural environment, Fluency in English", "qualificationsPreferred" : "Master's degree", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "**Job Description** Alimentation Couche-Tard Inc., (ACT) is a global Fortune 200 company. A leader in the convenience store and fuel space, ACT’s retail network includes ~16,700 convenience stores, and has footprint across 31 countries and territories primarily under the Circle K brand. The India Fuels & Logistics Global Capability Centre (F&L GCC) is an integral part of ACT’s Global Fuels & Logistics Team, and the Manager Wet Stock will be a key player on this team that will help oversee entire wetstock management process in respective region, ensuring accuracy, efficiency and compliance with company and industry standards and grow F&L globally at ACT. _**About the role:**_ The hired candidate will partner with multiple departments, including Global Marketing, Merchandising, Global Technology, and Business Units. The role will be responsible for leading the Wet Stock Management function for the designated region (Europe, USA, or Canada), ensuring efficient execution of wet stock operations in alignment with organizational and industry standards. **_Roles & Responsibilities_** * Lead and manage the wet stock analytics team, providing guidance, mentorship, and fostering a collaborative work environment. * Oversee the monitoring and analysis of wetstock management. * Ensure the accuracy and efficiency of wetstock monitoring systems, proactively identifying and addressing areas for improvement. * Collaborate with cross-functional teams to align wetstock monitoring systems, proactively identifying and addressing areas for improvement. * Collaborate with cross-functional teams to develop and implement strategies for optimizing overall wetstock management. * Conduct thorough audits to ensure compliance with wet stock management procedures, industry regulations, and best practices. * Drive development and maintenance of advanced reports and dashboards, providing comprehensive insights into wetstock metrics and trends. * Perform reviews and provide feedback for the reporting. * Establish and develop communication with key stakeholders. * Collaborate with cross-functional teams to develop and implement strategies for optimizing overall wetstock management. * Report to BU`s about major faults and issues that don`t follow company established processes. _**Qualifications and experience**_ * 5-7 years of relevant experience within logistics, supply chain, compliance, statistics, finance, engineering, or other related industries. * Work experience in a foreign and multicultural environment. * Higher educational level in management, logistics, engineering, statistics, accounting, or a related field. A master's degree is preferable. _**Competencies:**_ * Effective communication skills to convey complex data insights to various stakeholders. * Extensive experience in wet stock management, with a proven track record of success in a managerial or leadership role. * Leadership and interpersonal skills, with the ability to inspire and lead a high-performance team. * Ability to drive continuous improvement initiatives and adapt to evolving industry trends. * Familiarity with regulatory requirements related to wet stock management. * Personal integrity: promotes and lives the company standard of ethics and values. * Fluency in English (verbal and written) * Long experience within relevant work can compensate for lack of formal education. #LI-DS1", "summaryDescription" : "Manager Wet Stock at Alimentation Couche-Tard Inc.. Skills: Wet stock management, Team leadership, Process optimization. Lead and manage wet stock analytics team. Oversee monitoring and analysis of wetstock management", "postedDate" : "2026-06-16T03:43:03.489", "createdAt" : "2026-06-16T03:43:03.446", "lastUpdated" : "2026-06-16T13:10:07.410", "ingestTimestamp" : "2026-06-16T03:43:03.446", "mongoId" : "6a10358e58b93c861e166185", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://circlek.wd3.myworkdayjobs.com/CircleKStoreJobs/job/Support-Office-India/Manager-Wet-Stock-Management_R591141", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Wetstock analytics", "Reporting", "Leadership", "Interpersonal skills", "Wet stock management", "Team leadership", "Process optimization", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement", "Analytics", "Logistics", "Supply chain", "Compliance", "Industry standards", "Regulatory requirements" ], "skillCount" : 20, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "manager", "dataQualityScore" : 1.0, "_score" : 1040.0914, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Retail", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305a64f292fd229cf50000", "title" : "Data Processing Intern", "salary" : { "min" : 30000.0, "max" : 45000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Data Processing Intern in Fowler, United States, adjusted for internship employment type." }, "location" : "Fowler, CA", "locations" : [ "Fowler, CA" ], "timestamp" : "2026-06-16T05:05:46.102", "fingerprint" : "22a04b297eea17102b49f7cd12985c7297b401a044ff82b977ffd4bfaeaba4a2", "source" : "jazzhr", "language" : "en", "externalId" : "MMbyNj6r3a", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Fowler", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "36.6305058,-119.6784690" } ], "locationText" : "Fowler, California, United States", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "summaryDescription" : "Data Processing Intern", "createdAt" : "2026-06-15T22:19:15.633", "lastUpdated" : "2026-06-16T05:05:46.102", "ingestTimestamp" : "2026-06-15T22:19:15.633", "mongoId" : "6a305a64f292fd229cf50000", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 30000, "salaryAnnualMax" : 45000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.5555556, "_score" : 934.5359, "hasLocation" : true, "hasGeo" : true, "llmIndustryConfidence" : 0.85 }, { "id" : "6a2ecc2f74d8ee00a0ebb21c", "title" : "Probe Process Technician", "company" : "Micron Technology", "industry" : "Manufacturing", "salary" : { "min" : 48000.0, "max" : 65000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Entry-level Probe Process Technicians in Manassas, VA, adjusted for Micron Technology's size and the technology industry." }, "location" : "Manassas, VA - Fab 6", "locations" : [ "Manassas, VA - Fab 6", "United States of America" ], "timestamp" : "2026-06-15T22:04:34.483", "fingerprint" : "0abe694329f0b7f295b2a8fc0fb60aaec4c45009b866495976aed7c34a1300ad", "source" : "workday", "language" : "en", "applyUrl" : "https://micron.wd1.myworkdayjobs.com/External/job/Manassas-VA----Fab-6/Probe-Process-Technician-FLOD_JR103120", "externalId" : "JR103120", "industryFunction" : { }, "locationPoint" : "38.75095,-77.47527", "structuredLocations" : [ { "city" : "Manassas", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.7509488,-77.4752667" } ], "locationText" : "Manassas, Virginia, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Semiconductor manufacturing, Process control, SPC, Data analysis", "professionalSkills" : [ "Problem-solving", "Troubleshooting", "Process improvement" ], "hardSkillsList" : [ "Process monitoring", "Equipment calibration", "Yield analysis" ], "hardSkills" : [ { "name" : "Process monitoring", "level" : "intermediate" }, { "name" : "Equipment calibration", "level" : "intermediate" }, { "name" : "Yield analysis", "level" : "intermediate" } ], "majorSkills" : "Semiconductor process, Process technician, Manufacturing support", "majorSkillsList" : [ "Semiconductor process", "Process technician", "Manufacturing support" ], "coreResponsibilities" : "Monitor and control semiconductor manufacturing processes, Perform routine equipment maintenance and calibration, Troubleshoot process deviations and implement corrective actions, Analyze process data to identify trends and areas, Document process parameters and operational procedures, Collaborate with engineering teams to resolve complex issues, Ensure adherence to safety and quality standards, Participate in continuous improvement initiatives", "teamCollaboration" : "Engineering teams; Production staff", "domainKnowledge" : "Semiconductor fabrication; Process control systems; Statistical Process Control", "domainList" : [ "semiconductor-fabrication", "process-control-systems", "statistical-process-control" ], "domainSpecificKnowledge" : [ "Semiconductor fabrication", "Process control systems", "Statistical Process Control" ], "toolProficiency" : [ "Process control software", "Data analysis tools" ], "communicationSkills" : "Technical documentation; Process reporting", "documentationSkills" : "Process documentation; Operational procedures", "continuousLearning" : "On-the-job training; Process development", "problemSolvingSkills" : "Root cause analysis; Troubleshooting; Process optimization", "outcomesObjectives" : "Maintain process stability; Improve process yield; Ensure product quality", "qualificationsBasic" : "Associate's degree in a technical field, 2+ years of experience in a semiconductor manufacturing environment, Experience with process control systems, Ability to read and interpret technical documentation", "qualificationsPreferred" : "Bachelor's degree in Engineering or related field, Experience with statistical process control (SPC), Knowledge of lean manufacturing principles, Experience with data analysis tools", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "**Our vision is to transform how the world uses information to enrich life for _all_. ** Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Micron is seeking motivated Process Technicians to support wafer manufacturing by monitoring operations, reviewing data, and working closely with engineering and production teams to enhance yield, quality, and efficiency. This role requires strong analytical thinking, attention to detail, and disciplined execution. Process Technicians must have the ability to recognize abnormal conditions and apply structured problem-solving to troubleshoot issues in a fast-paced manufacturing environment while adhering to established procedures. Ideal candidates are comfortable working with data, dashboards, and computer-based systems and are capable of extracting, analyzing, and interpreting trends and clearly communicating insights. Success depends on effective communication, strong organization and time management skills, the ability to work independently, and flexibility with responsibilities and shift schedules. As part of a fabrication team driving innovation for a global leader in memory and storage solutions, Process Technicians directly support manufacturing excellence while demonstrating reliability, engagement, and a growth mindset aligned with Micron’s core values: People, Innovation, Tenacity, Collaboration, and Customer Focus. **Responsibilities:** * Manage semiconductor equipment, perform technical evaluations, and partner with cross functional teams to monitor, stabilize, and improve wafer fabrication processes. * Work with engineering teams to enhance workstations and apply structured troubleshooting and escalation paths for process or equipment issues. * Monitor process indicators (e.g., Statistical Process Control charts, dashboards, alarms) to identify abnormal conditions and take appropriate action using tools such as Microsoft Office. * Communicate clearly, manage time effectively, and follow procedures with minimal supervision. * Collect, review, and document production and process data using computer‑based systems to support yield, quality, and traceability. * Conduct technical experiments, run process tests, and prepare data visualizations to identify yield and process trends. * Complete required safety training, work safely in varied environments (including uneven terrain and confined spaces), and respond appropriately to potential hazards. * Participate in shift pass down and cross‑functional communication to ensure production continuity. **Minimum****Requirements:** * High school diploma or equivalent. * Available to work 10 hours a day and 4 days a week * Ability to wear cleanroom garments (approximately 20%, depending on department) and occasional PPE such as chemical aprons and face shields (~1% of the time). As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on _[micron.com/careers/benefits](https://www.micron.com/careers/benefits)_. Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws. To learn about your _**[right to work click here.](http://www.justice.gov/crt/worker-information)**_ To learn more about Micron, please visit** _[ micron.com/careers](https://www.micron.com/careers)_** For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron’s People Organization at _[hrsupport_na @micron.com](mailto:hrsupport_na@micron.com)_ or 1-800-336-8918 (select option #3) Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron. AI alert**:** Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.", "summaryDescription" : "Probe Process Technician at Micron Technology. Skills: Semiconductor process, Process technician, Manufacturing support. Monitor and control semiconductor manufacturing processes. Perform routine equipment maintenance and calibration", "postedDate" : "2026-06-12T21:05:11.603", "createdAt" : "2026-06-14T21:05:11.549", "lastUpdated" : "2026-06-15T22:04:34.483", "ingestTimestamp" : "2026-06-14T21:05:11.549", "mongoId" : "6a2ecc2f74d8ee00a0ebb21c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://micron.wd1.myworkdayjobs.com/External/job/Manassas-VA----Fab-6/Probe-Process-Technician-FLOD_JR103120", "salaryAnnualMin" : 48000, "salaryAnnualMax" : 65000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Process monitoring", "Equipment calibration", "Yield analysis", "Semiconductor process", "Process technician", "Manufacturing support", "Problem-solving", "Troubleshooting", "Process improvement", "Semiconductor fabrication", "Process control systems", "Statistical Process Control", "Process control software", "Data analysis tools" ], "skillCount" : 14, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "mid", "dataQualityScore" : 0.8888889, "_score" : 863.0293, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7ca374d8ee00a094de54", "title" : "Manufacturing Engineering Technician - Composites", "company" : "BETA Technologies", "industry" : "Manufacturing", "salary" : { "min" : 75000.0, "max" : 105000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Manufacturing Engineering Technician in South Burlington, United States, adjusted for the manufacturing industry and company size." }, "location" : "South Burlington, Vermont, United States", "locations" : [ "South Burlington", "Vermont", "United States" ], "timestamp" : "2026-06-15T13:35:17.261", "fingerprint" : "5cab0d8162a130c2929db31c3777e27a1ca79c4b70b0136202f611b61885cf85", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/betatechnologiesinc/jobs/4251672009", "externalId" : "4251672009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "South Burlington", "state" : "Vermont", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "44.4642957,-73.1762730" } ], "locationText" : "South Burlington, Vermont, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Associate's", "technicalSkills" : "Composites manufacturing, CAD, GIT", "professionalSkills" : [ "Process improvement", "Data analysis", "Tool assembly", "Inventory management", "Fixture design" ], "hardSkillsList" : [ "Composites fabrication", "Tool repair", "Data collection", "Cycle counting", "Rework instructions" ], "softSkillsList" : [ "Critical thinking" ], "hardSkills" : [ { "name" : "Composites fabrication", "level" : "intermediate" }, { "name" : "Tool repair", "level" : "intermediate" }, { "name" : "Data collection", "level" : "intermediate" }, { "name" : "Cycle counting", "level" : "intermediate" }, { "name" : "Rework instructions", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Critical thinking" } ], "majorSkills" : "Composites manufacturing, Process improvement, Data analysis", "majorSkillsList" : [ "Composites manufacturing", "Process improvement", "Data analysis" ], "coreResponsibilities" : "Provide manufacturing floor support, Triage equipment issues, Cycle count materials, Troubleshoot manufacturing data discrepancies, Test manufacturing data packages, Generate rework/repair instructions, Complete complex repairs, Support R&D or prototype builds, Collect and analyze production data, Assist engineering with tool assembly, Maintain manufacturing documentation, Update bills of materials, Design simple fixtures, racks, Produce production parts", "teamCollaboration" : "Collaborative team environment; Assist engineering", "projectManagementSkills" : [ "Gitlab issues" ], "domainKnowledge" : "Composites manufacturing; Electric aviation", "domainList" : [ "composites-manufacturing", "electric-aviation" ], "domainSpecificKnowledge" : [ "Composites manufacturing", "Electric aviation" ], "toolProficiency" : [ "Gitlab", "Problem Solver", "PLEX", "Plan Maker", "Confluence", "Composite Docs" ], "communicationSkills" : "Convey ideas verbally; Convey ideas in writing", "documentationSkills" : "Manufacturing documentation; Engineering documentation; Rework instructions; Quality packages", "continuousLearning" : "Build technical expertise", "innovationCreativity" : "Identify improvement opportunities; Design simple fixtures", "problemSolvingSkills" : "Troubleshooting; Root cause analysis", "specialRequirements" : "Lift/carry/push/pull up to 50 pounds, Operate material handling equipment, Work around variable noise levels, Work with fume or airborne particles, Work with hazardous chemicals, Use personal protective equipment, Work in standard office setting, Work varying shifts and hours, Work with small parts/components, Excellent hand-eye coordination, Good manual dexterity, Specific vision abilities required", "outcomesObjectives" : "Ensure accurate inventory and accounting", "qualificationsBasic" : "Two-year degree or certificate, Interpret drawings, specifications, schematics, Operate hand and power tools, Critical thinking skills, Pivot and develop solutions, Experience using hand tools, Convey ideas verbally and in writing, Comfortable using a computer, Experience in collaborative team environment", "qualificationsPreferred" : "Hands-on experience with composites fabrication, Familiarity with measurement tools and gages, Experience operating manufacturing equipment, Previous Computer-Aided Design (CAD) experience, Comfort with coding, AI assistance, and GIT", "workSiteFlexibility" : "Onsite", "rawDescription" : "At BETA Technologies, we apply our intellectual curiosity, passion for aviation, and commitment to sustainability toward a shared mission of revolutionizing electric aviation. Regardless of the position one holds, each team member brings their talent and desire to positively impact the environment and lives of others in a refreshing, vibrant, and inclusive culture. The Manufacturing Technician is responsible for supporting the composites team through troubleshooting, hands-on problem solving, data collection, and overall process improvement. Duties will also include R&D builds, tooling support and repair, and to support production while building technical expertise in composites manufacturing. How you will contribute to revolutionizing electric aviation: Provide manufacturing floor support to: triage equipment issues, cycle count materials, & troubleshoot manufacturing data discrepancies Test manufacturing data packages (lasers, DXFs, etc) Generating rework/repair instructions and complete complex repairs Support R&D or prototype builds when required Collecting and analyze production data such as cycle times or equipment capability measurements Assist engineering with tool assembly and maintenance: assemble tools and apply or update labels, create quality packages for tools, manage tool hardware inventory, & tool repairs Identify improvement opportunities and submit issues against projects in Gitlab Write problems/NCRs for defective material using Problem Solver Maintain manufacturing and engineering documentation in Composite Docs and Confluence Update bills of materials to ensure accurate inventory and accounting in PLEX or Plan Maker Design simple fixtures, racks, etc. for process improvement May occasionally produce production parts in conforming environment Minimum Qualifications: Two-year degree or certificate from an accredited two (2) year college, university, or technical school or equivalent experience Ability to Interpret drawings, specifications, and schematics of mechanical and electrical components Ability to operate hand and power tools Strong critical thinking skills. Ability to pivot and rapidly develop solutions to changing goals Experience using hand tools Ability to convey ideas verbally and in writing Comfortable using a computer and typical software Experience working in a collaborative team environment Above and Beyond Qualifications: Previous hands-on experience with composites fabrication Familiarity with measurement tools and gages Experience operating manufacturing equipment and machines Previous Computer-Aided Design (CAD) experience – Specifically 3DX/Catia Comfort with coding, AI assistance, and GIT Physical Demands and Work Environment: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be provided for individuals with disabilities to perform essential functions. The work environment may require a combination of indoor and outdoor activities (hot, cold, wet, humid conditions) with a varied amount of walking, standing, sitting, climbing (i. e. ladders, stairs), balance (maintaining body equilibrium to prevent falling when walking, standing, or crouching on narrow, slippery surfaces), bending, reaching, handling (seizing, holding, grasping, turning, picking, punching), stooping, kneeling, crouching and ability to lift/carry/push/pull up to 50 pounds. Work may require the ability to operate material handling equipment (forklift, pallet jack, etc.) in a safe manner. While performing the duties of this job, employees may work around variable noise levels or with fume or airborne particles, hazardous chemicals, etc. requiring the use of personal protective equipment such as face protection (safety glasses, goggles, face shield), gloves, and hearing protection. Work duties may also be required to work in a standard office setting and to use standard office equipment, including a computer and/or the ability to travel by air or automobile. This position may be expected to work varying shifts and hours to ensure the successful operation of activities in the organization. Some positions entail working with small parts/components. Employees must have excellent hand-eye coordination and good manual dexterity in both hands. Specific vision abilities required by the job include close vision, distance vision, peripheral vision, depth perception, and the ability to adjust focus. The wage listed here reflects our best faith estimate for this role. We pay competitively and base compensation on a variety of factors including skills, experience, industry background, and the evolving needs of the role. We remain committed to fair and equitable pay and we're happy to discuss during the interview process. Compensation $26—$30 USD Build electric airplanes with us! BETA offers a competitive Total Compensation package designed to support you now and as you grow with us. This role includes both Restricted Stock Units and Performance Stock Units for all full-time team members, so everyone shares in our success. You’ll have access to onsite healthcare in Vermont, comprehensive medical coverage, dental and vision, short- and long-term disability, and paid parental leave. We also take care of the everyday details with daily lunch provided, and yes—flight lessons are part of the experience, along with a range of additional perks that make work here genuinely rewarding. We encourage all driven candidates to apply, even if they do not meet every listed qualification. We are an equal opportunity employer. Employment decisions are based on merit, competence and qualifications and will not be influenced in any manner on race, color, religion, age, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, disability, veteran or military status, genetic information, pregnancy, or any other protected characteristic under federal, state, or local law. BETA complies with all applicable federal, state and local non-discrimination laws and does not tolerate discrimination of any kind in our workplace. Employment offers are contingent upon the successful completion of a background check. BETA Technologies participates in E-Verify.", "summaryDescription" : "Manufacturing Engineering Technician - Composites at BETA Technologies. Skills: Composites manufacturing, Process improvement, Data analysis. Provide manufacturing floor support. Triage equipment issues", "postedDate" : "2026-06-14T08:19:52.307", "createdAt" : "2026-06-14T08:19:52.307", "lastUpdated" : "2026-06-15T13:35:17.261", "ingestTimestamp" : "2026-06-14T08:19:52.307", "mongoId" : "6a2c7ca374d8ee00a094de54", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 75000, "salaryAnnualMax" : 105000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Composites fabrication", "Tool repair", "Data collection", "Cycle counting", "Rework instructions", "Critical thinking", "Composites manufacturing", "Process improvement", "Data analysis", "Tool assembly", "Inventory management", "Fixture design", "Gitlab issues", "Electric aviation", "Gitlab", "Problem Solver", "PLEX", "Plan Maker", "Confluence", "Composite Docs" ], "skillCount" : 20, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 859.3904, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cea3d74d8ee00a0a70610", "title" : "Intern, Powertrain Manufacturing", "company" : "Harbinger Motors Inc.", "industry" : "Manufacturing", "salary" : { "min" : 25.0, "max" : 35.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Garden Grove, California, United States", "locations" : [ "Garden Grove", "California", "United States" ], "timestamp" : "2026-06-15T03:25:23.608", "fingerprint" : "34696aa1bb247abb264451f2f0cd8ce2fdaa921673eee212226bbd97008ec3e2", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/harbingermotors/jobs/5164336007", "externalId" : "5164336007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Garden Grove", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.7746292,-117.9463717" } ], "locationText" : "Garden Grove, California, United States", "employmentType" : "INTERNSHIP", "minimumEducation" : "Bachelor's", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "coreResponsibilities" : "Assist in development and design of manufacturing standards, Assist in design of manufacturing processes, Assist in design of manufacturing equipment, Assist in design of manufacturing tooling, Ensure processes meet safety standards, Ensure processes meet quality standards, Ensure processes meet efficiency standards, Support development of work instructions, Support documentation of work instructions, Support development of standard operating procedures, Support documentation of standard operating procedures, Collaborate with cross-functional teams, Identify production issues, Resolve production issues, Assist in design of new tools, Assist in testing of new tools, Assist in validation of new tools, Assist in design of new equipment, Assist in testing of new equipment, Assist in validation of new equipment, Support continuous improvement initiatives, Support lean manufacturing practices, Prepare reports, Prepare presentations", "teamCollaboration" : "Cross-functional teams", "domainKnowledge" : "Powertrain Manufacturing; Electric Drive Unit; Rotor; Stator; Lean manufacturing", "domainList" : [ "powertrain-manufacturing", "electric-drive-unit", "rotor", "stator", "lean-manufacturing" ], "domainSpecificKnowledge" : [ "Powertrain Manufacturing", "Electric Drive Unit", "Rotor", "Stator", "Lean manufacturing" ], "communicationSkills" : "Prepare presentations", "documentationSkills" : "Develop manufacturing standards; Develop documentation; Develop work instructions; Develop standard operating procedures", "problemSolvingSkills" : "Identify production issues; Resolve production issues", "qualificationsBasic" : "Enrolled in Bachelor's degree program or greater in related field, Work authorized in the United States OR ability to obtain J-1/F-1 visa", "remoteFriendly" : false, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About Harbinger Harbinger is an American commercial electric vehicle (EV) company on a mission to transform an industry starving for innovation. Harbinger’s best-in-class team of EV, battery, and drivetrain experts have pooled their deep experience to bring a first-of-its-kind EV platform to support the growing demand for medium-duty EVs and Hybrids. Harbinger: Familiar Form, Revolutionary Foundation. Job Overview: Location: Immerse yourself in our innovative culture! This role requires a commitment of 4 days in-office per week at our facility in Garden Grove, CA as well as full-time hours (40 hours a week). Duration: 11-14 weeks (Sep 8 to Dec 11 OR Sep 21 to Dec 4) Relocation Support: A $1,000 relocation stipend is available for interns currently residing more than 50 miles from Garden Grove, CA. Compensation: Earn an hourly rate of $25-35 USD per hour Job Summary: We are currently seeking an ambitious engineering student to join our Powertrain Manufacturing team. As an intern, you will support the development and manufacturing of Harbinger’s Electric Drive Unit system, including the rotor and stator. The primary responsibilities for this position will include assisting with the design and testing of production tooling and equipment, developing manufacturing standards and documentation, and supporting cross-functional process improvement efforts. The role also offers the opportunity to build valuable experience at a fast paced, high growth startup during a critical early product development stage. What You'll Do: Assist in the development and design of manufacturing standards, processes, equipment, and tooling for the complete Powertrain system including the Rotor, Stator and Electric Drive Unit. Ensure these processes meet safety, quality, and efficiency standards. Support the development and documentation of work instructions and standard operating procedures (SOPs). Collaborate with cross-functional teams to identify and resolve production issues. Assist in the design, testing, and validation of new tools and equipment. Support the continuous improvement initiatives, including lean manufacturing practices. Prepare reports and presentations to communicate findings and recommendations. What You'll Bring: Enrolled in Bachelor’s degree program or greater in related field Work authorized in the United States OR ability to obtain J-1/F-1 visa Strong analytical and problem-solving skills. Proficiency in Microsoft Office Suite (Excel, PowerPoint, Word). Familiarity with CAD software (e.g., AutoCAD, SolidWorks) is a plus. Excellent communication and teamwork skills. Detail-oriented and able to manage multiple tasks effectively. Equal Opportunity Harbinger is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law. Harbinger is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at info@harbingermotors.com. Candidate Data Privacy Harbinger may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes (“Candidate Personal Data”). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Harbinger may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law. Harbinger may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our HR, legal, and finance teams, and the team(s) with the position(s) for which you are applying; (ii) Harbinger affiliates; and (iii) Harbinger’s service providers, including providers of background checks, staffing services, and cloud services. Harbinger may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, the United Kingdom, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions. Please note that we are currently not accepting applications from third party application services. Any unsolicited resumes or candidate profiles submitted in response to our job posting shall be considered the property of Harbinger and are not subject to payment of referral or placement fees if any such candidate is later hired by Harbinger unless you have a signed written agreement in place with us which covers the applicable job posting.", "summaryDescription" : "Intern, Powertrain Manufacturing at Harbinger Motors Inc.. Assist in development and design of manufacturing standards. Assist in design of manufacturing processes", "postedDate" : "2026-06-13T22:24:26.114", "createdAt" : "2026-06-13T22:24:26.114", "lastUpdated" : "2026-06-15T03:25:23.608", "ingestTimestamp" : "2026-06-13T22:24:26.114", "mongoId" : "6a2cea3d74d8ee00a0a70610", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 52000, "salaryAnnualMax" : 72800, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Powertrain Manufacturing", "Electric Drive Unit", "Rotor", "Stator", "Lean manufacturing" ], "skillCount" : 5, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "_score" : 852.2625, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6bce74d8ee00a0914a87", "title" : "Manufacturing Engineer Intern", "company" : "Anduril Industries", "industry" : "Manufacturing", "salary" : { "min" : 30000.0, "max" : 40000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Ashville, Ohio, United States", "locations" : [ "Ashville", "Ohio", "United States", "Atlanta", "Georgia", "United States", "Boston", "Massachusetts", "United States", "Costa Mesa", "California", "United States", "Irvine", "California", "United States", "Seattle", "Washington", "United States" ], "timestamp" : "2026-06-15T07:17:49.685", "fingerprint" : "1c65202396398e1b78f76d1f75d474d1c1f6e1ef4926669f1f595903b3c9666c", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://boards.greenhouse.io/andurilindustries/jobs/5153218007?gh_jid=5153218007", "externalId" : "5153218007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Ashville", "state" : "Ohio", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.7156186,-82.9529584" } ], "locationText" : "Ashville, Ohio, United States", "employmentType" : "INTERNSHIP", "minimumEducation" : "Bachelor's", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "coreResponsibilities" : "Receive problem statements, Perform trade studies, Execute hardware procurement, Test solutions, Verify solutions, Demonstrate solution effectiveness", "teamCollaboration" : "Exposure to engineers; Exposure to technicians", "domainKnowledge" : "Aerospace structures; Carbon fiber composite; Composite structures", "domainList" : [ "aerospace-structures", "carbon-fiber-composite", "composite-structures" ], "domainSpecificKnowledge" : [ "Aerospace structures", "Carbon fiber composite", "Composite structures" ], "qualificationsBasic" : "Bachelors in Aerospace Engineering, Bachelors in Mechanical Engineering, Rising senior status, Return to school after internship, U.S. Person status", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Anduril Industries is a defense technology company with a mission to transform U. S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. While this exact role may not be open today, we are always looking ahead and want to connect with talented people like you for future opportunities. We will begin reviewing applications in August 2026 for positions starting in 2027. We highly encourage you to apply early to get a head start! By submitting your application today, you'll be on our radar, and an Anduril recruiter will reach out to you directly as soon as a matching role opens up. We are seeking Manufacturing Engineer Interns for Summer 2027! This is a paid, in-person, 12 week internship. As a Manufacturing Engineer Intern you will work on projects supporting teams designing and building aerospace structures using carbon fiber composite material systems. As an intern you will have direct exposure to engineers designing and analyzing composite structures in aerospace programs, and to technicians manufacturing those structures. WHAT YOU’LL DO Receive problem statements guidelines, requirements, and reporting milestones Independently perform trade studies, designs, and generate solutions for approval Execute the procurement of hardware as necessary to implement solutions Test, verify, and demonstrate the effectiveness of your solutions REQUIRED QUALIFICATIONS Pursuing a Bachelors in Aerospace Engineering, Mechanical Engineering, or any related field Must be a rising senior at the time of the internship and returning to school at the end of the internship to continue academic studies for at least one quarter/semester. U. S. Person status is required as this position needs to access Controlled Unclassified Information. US Salary Range $30—$40 USD The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Benefits At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits. Protecting Yourself from Recruitment Scams Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information. To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind: No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates. Please always verify communications: Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address. Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com. Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links. What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com. Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts. Data Privacy To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/. By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.", "summaryDescription" : "Manufacturing Engineer Intern at Anduril Industries. Receive problem statements. Perform trade studies", "postedDate" : "2026-06-13T20:48:16.416", "createdAt" : "2026-06-13T20:48:16.416", "lastUpdated" : "2026-06-15T07:17:49.685", "ingestTimestamp" : "2026-06-13T20:48:16.416", "mongoId" : "6a2c6bce74d8ee00a0914a87", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 30000, "salaryAnnualMax" : 40000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Aerospace structures", "Carbon fiber composite", "Composite structures" ], "skillCount" : 3, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "_score" : 799.1937, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Defense Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3076fef292fd229c020e86", "title" : "Senior Manufacturing Process Engineer", "company" : "Carbon, Inc.", "industry" : "Manufacturing", "salary" : { "min" : 135000.0, "max" : 185000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Manufacturing Process Engineer in Sunnyvale, United States, adjusted for industry and company size." }, "location" : "Sunnyvale, California, United States", "locations" : [ "Sunnyvale", "California", "United States" ], "timestamp" : "2026-06-16T11:41:26.000", "fingerprint" : "a2b9fb90346db87d8810d88b11b087a6da5a230c16cec448506a18216226495d", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/carbon/jobs/5160565007", "externalId" : "5160565007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sunnyvale", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3688301,-122.0363490" } ], "locationText" : "Sunnyvale, California, United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "rawDescription" : "At Carbon, our mission goes beyond 3D printing. We are enabling creators everywhere to make what the world needs, right now. Our company is built on the idea that diverse fields of study must come together to solve intractable problems. We have grand ambitions to create technology that will influence industry around the world. You will be joining a diverse team with a vibrant culture, where team success is as important as celebrating individual contributions. Help us change the world and we will help you change yours. TBD By clicking the “APPLY NOW” button and submitting your job application, you agree you have reviewed the complete Privacy Notice for Employees, Independent Contractors and Job Applicants, which explains the categories of personal information we collect about you, the purposes for which the categories of personal information shall be used and your rights with respect to our use of such personal Information.", "summaryDescription" : "Senior Manufacturing Process Engineer at Carbon, Inc.", "postedDate" : "2026-06-16T01:19:09.101", "createdAt" : "2026-06-16T01:19:09.101", "lastUpdated" : "2026-06-16T11:41:26.000", "ingestTimestamp" : "2026-06-16T01:19:09.101", "mongoId" : "6a3076fef292fd229c020e86", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 185000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "_score" : 798.6445, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307ca5f292fd229c04a819", "title" : "Manufacturing Engineering Technician (Contract)", "company" : "Senior plc", "industry" : "Mechanical Or Industrial Engineering", "salary" : { "min" : 52000.0, "max" : 78000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Manufacturing Engineering Technician in Burbank, United States, adjusted for industry and contract employment type." }, "location" : "Burbank, California, United States", "locations" : [ "Burbank", "California", "United States" ], "timestamp" : "2026-06-16T11:47:12.295", "fingerprint" : "38de7be3895a0290e0f48da014a67c883f347f4948e754b6ffe51ee72d8e64dc", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/SeniorPlc1/3743990013630966-manufacturing-engineering-technician-contract-", "externalId" : "3743990013630966", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Burbank", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.1812089,-118.3072010" } ], "locationText" : "Burbank, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "coreResponsibilities" : "Perform technical administrative documentation, Support production floor rejection process, Input data, Keep digital records, Create Non-Conformance Material documentation, Document Visual Work Instructions, Document NCM procedures, Support and create in-process MRB actions, Create Heat Treat Schedules, Edit Heat Treat Schedules, Maintain Heat Treat Schedules, Update Laser Schedules, Track status changes, Provide Schedule support, Manage documentation for rejected parts, Review red tagged parts, Clarify data, Create NCM number, Move discrepant material, Update Work Orders, Document NCM process, Maintain training guidelines, Assist planners with INFOR updates, Follow Senior policies and procedures, Perform other duties as assigned", "domainKnowledge" : "Aerospace; Defense; Land vehicle; Power & energy; High-pressure ducting systems", "domainList" : [ "aerospace", "defense", "land-vehicle", "power-energy", "high-pressure-ducting-systems" ], "domainSpecificKnowledge" : [ "Aerospace", "Defense", "Land vehicle", "Power & energy", "High-pressure ducting systems" ], "toolProficiency" : [ "INFOR" ], "documentationSkills" : "Visual Work Instructions; NCM procedures", "specialRequirements" : "ITAR/EAR restricted access", "qualificationsBasic" : "High School Diploma or GED, 1 year related experience, Equivalent combination of education and experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Who is Senior plc? Senior plc is an international, market-leading, engineering solutions provider with 19 operating businesses in 11 countries. Traded on the London Stock Exchange, Senior designs and manufactures high-technology components and systems for the worldwide aerospace, defense, land vehicle and power & energy markets. Senior Aerospace SSP, a division of Senior plc, is the world’s largest aerospace high-pressure ducting system supplier. Starting as ‘Stainless Steel Products’ in 1945, and acquired by Senior plc in 1995, we are vertically integrated with our own foundry, fabrication shop, and ISO-certified engineering lab, allowing us to design, manufacture, and qualify complex ducting systems for space launch, defense, and commercial aerospace applications worldwide. Why join SSP? Senior Aerospace SSP is the recognized global leader in high-pressure bleed air ducting systems. We provide \"total resource\" system solutions for complex ducting requirements, with our components found on most aircraft operating worldwide. We are committed to the highest standards of ethics, safety, quality, efficiency, and continuous improvement. At SSP, we believe in building strong relationships with our customers, suppliers, and most importantly, our employees. We foster a welcoming, respectful, and inclusive environment with ample opportunities for professional growth. Join us and find your future in a company that values innovation and integrity. Performs technical administrative documentation and manufacturing support of the production floor rejection process, inputting data, keeping digital records, creating Non-Conformance Material (NCM) documentation, documenting/creating Visual Work Instructions, documenting NCM procedures, and associated tasks as assigned. * Supporting and creating in-process MRB actions * Creating, editing and maintaining Laser Schedules and Heat Treat Schedules and Technique Sheets, including updating most current revisions and tracking status changes * Providing Schedule support to Laser and Heat Treat personnel * Managing documentation for rejected parts in IQM, review red tagged parts, clarifying data (dimensions, rejection, specification, etc), and creating NCM number * Move discrepant material from floor rejection area to MRB location after NCM creation * Updates Work Orders with rejection information and NCM number in INFOR * Create and document Visual Work Instructions for Manufacturing Engineer’s review * Document NCM process and maintain training guidelines/manual * Assist planners with INFOR work order updates. * Follow all Senior policies and procedures. * Other duties as assigned. ## Qualifications * High School Diploma or General Education Degree; or 1 year of related experience and/ or training; or equivalent combination of education and experience. * Self-starter that can work independently and manage time and priorities to support business and meet commitment dates. ## Additional Information Target Pay Rate = $23/hr Monday - Friday 1st Shift 7:00am - 4:30pm Trade Compliance Statement Access to our facilities is restricted under the International Traffic in Arms Regulations (ITAR) and/or the Export Administration Regulations (EAR) to U.S. Persons (U.S. Citizens, lawful permanent residents, U.S. Nationals, U.S. refugees, asylees, or temporary residents under amnesty provisions ), and to properly licensed foreign persons. Applicants receiving a conditional offer of employment will be required to provide information to determine whether they are subject to these regulations and, if so, to assess their country of chargeability for export control purposes. Additionally, potential employee names will be screened against the Consolidated Screening List (maintained by the United States government) to determine eligibility to receive controlled technical data. To ensure there is no unexpected delay to your start date with our Company and due to the potential need to obtain an export license, we would like to promptly assess whether such a license is needed to access our facility and/or systems. Such licenses can take several weeks/months to obtain from the U.S. Government. Our Trade Compliance department may reach out to you with a Licensing Assessment form, which we request you kindly complete and return as soon as possible. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. EOE M/F/D/V/VEVRAA Federal Contractor", "summaryDescription" : "Manufacturing Engineering Technician (Contract) at Senior plc. Perform technical administrative documentation. Support production floor rejection process", "postedDate" : "2026-06-15T21:13:36.000", "createdAt" : "2026-06-16T01:37:58.110", "lastUpdated" : "2026-06-16T11:47:12.295", "ingestTimestamp" : "2026-06-16T01:37:58.110", "mongoId" : "6a307ca5f292fd229c04a819", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 52000, "salaryAnnualMax" : 78000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Aerospace", "Defense", "Land vehicle", "Power & energy", "High-pressure ducting systems", "INFOR" ], "skillCount" : 6, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "_score" : 783.86096, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2a688674d8ee00a06347d0", "title" : "Intern - Manufacturing Technician", "company" : "Micron", "industry" : "Semiconductor Manufacturing", "salary" : { "min" : 24000.0, "max" : 36000.0, "currency" : "SGD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Intern - Manufacturing Technician in Singapore, adjusted for entry-level seniority and the technology industry." }, "location" : "MSB, Singapore", "locations" : [ "MSB, Singapore" ], "timestamp" : "2026-06-12T17:43:11.332", "fingerprint" : "f02a75bd18f66cee5e96a402d7125a76535ec360fa32f4003d6f90e830a74f11", "source" : "workday", "language" : "en", "applyUrl" : "https://micron.wd1.myworkdayjobs.com/External/job/MSB-Singapore/Intern---Manufacturing-Technician_JR101505", "externalId" : "JR101505", "industryFunction" : { }, "locationPoint" : "18.06819,-63.08302", "structuredLocations" : [ { "country" : "Singapore", "continent" : "as", "workMode" : "onsite" } ], "locationText" : "Singapore", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Python, Excel", "professionalSkills" : [ "Process optimization", "Data analysis", "Statistical methods", "Machine learning" ], "hardSkillsList" : [ "Data visualization", "Anomaly detection", "Trend analysis" ], "hardSkills" : [ { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Anomaly detection", "level" : "intermediate" }, { "name" : "Trend analysis", "level" : "intermediate" } ], "majorSkills" : "Data Analytics, AI Techniques, Manufacturing Performance", "majorSkillsList" : [ "Data Analytics", "AI Techniques", "Manufacturing Performance" ], "coreResponsibilities" : "Analyze process and equipment data, Identify trends and variability drivers, Explore application of data analytics, Explore application of AI techniques, Enhance process visibility, Detect anomalies, Support data-driven decision-making, Identify key factors influencing performance, Develop insights into process trends, Develop insights into variability, Apply analytics techniques, Apply AI techniques, Detect anomalies, Detect optimization opportunities, Propose improvement recommendations, Gain understanding of Die Attach process, Gain understanding of semiconductor manufacturing, Perform data analysis, Perform data visualization, Apply statistical methods, Apply machine learning techniques, Develop dashboards, Develop tools, Monitor key process indicators, Collaborate with engineering teams, Interpret findings", "teamCollaboration" : "Collaborate with engineering teams", "domainKnowledge" : "Die Attach process; Semiconductor manufacturing", "domainList" : [ "die-attach-process", "semiconductor-manufacturing" ], "domainSpecificKnowledge" : [ "Die Attach process", "Semiconductor manufacturing" ], "documentationSkills" : "Data analysis report", "continuousLearning" : "Gain understanding of Die Attach process; Perform data analysis and visualization; Apply statistical methods and/or machine learning techniques; Develop dashboards or tools", "innovationCreativity" : "Prototype model for anomaly detection; Prototype model for trend analysis", "problemSolvingSkills" : "Problem-solving skills; Data-driven decision-making", "outcomesObjectives" : "Improved process visibility; Improved process understanding; Identification of yield improvement opportunities; Identification of efficiency improvement opportunities; Enhanced use of data analytics; Enhanced use of data in manufacturing decision-making", "qualificationsBasic" : "Basic engineering knowledge, Analytical and problem-solving skills, Familiarity with data tools, Interest in data analytics, automation, or AI", "qualificationsPreferred" : "NITEC/Diploma in Engineering, Diploma in Data Science, Diploma in Computer Engineering", "remoteFriendly" : true, "workSiteFlexibility" : "Onsite", "rawDescription" : "**Our vision is to transform how the world uses information to enrich life for all.** Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. ## **Project Title:** Data-Driven Optimization of Die Attach Manufacturing Performance ## **Project Description:** This project focuses on improving the understanding and performance of the Die Attach process within semiconductor manufacturing. The intern will analyze process and equipment data to identify trends, variability drivers, and opportunities for optimization. The project will explore the application of data analytics and AI techniques to enhance process visibility, detect anomalies, and support data-driven decision-making in a high-volume manufacturing environment. ## **Objective of the Project:** * Identify key factors influencing Die Attach process performance (e.g., yield, cycle time) * Develop insights into process trends and variability * Apply analytics or AI techniques to detect anomalies or optimization opportunities * Propose improvement recommendations based on data analysis ## **Project Scope / Learning Opportunities:** * Gain understanding of Die Attach process and semiconductor manufacturing flow * Perform data analysis and visualization on manufacturing datasets * Apply statistical methods and/or machine learning techniques * Develop dashboards or tools to monitor key process indicators * Collaborate with engineering teams to interpret findings ## **Deliverables:** * Data analysis report on process performance trends * Visualization dashboard for selected KPIs * Prototype model for anomaly detection or trend analysis (if applicable) * Final presentation with recommendations and potential impact ## **Impact of Project:** * Improved process visibility and understanding * Identification of opportunities for yield and efficiency improvement * Enhanced use of data analytics in manufacturing decision-making ## **Skillsets Required:** * Basic engineering knowledge * Analytical and problem-solving skills * Familiarity with data tools (e.g., Excel, Python, or equivalent) * Interest in data analytics, automation, or AI ## **Course of Interest:** Minimum a NITEC/DIploma in Engineering (Electrical, Mechanical, Manufacturing, Industrial, Mechatronics), Data Science or Computer Engineering ## **Duration:** Minimum 4 months **About Micron Technology, Inc.** We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life _for all_. With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience. To learn more, please visit micron.com/careers All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. To request assistance with the application process and/or for reasonable accommodations, please contact [hrsupport_sg@micron.com](mailto:hrsupport_jp@micron.com) Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron. AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.", "summaryDescription" : "Intern - Manufacturing Technician at Micron. Skills: Data Analytics, AI Techniques, Manufacturing Performance. Analyze process and equipment data. Identify trends and variability drivers", "postedDate" : "2026-06-10T14:56:01.181", "createdAt" : "2026-06-11T14:56:01.082", "lastUpdated" : "2026-06-12T17:43:11.332", "ingestTimestamp" : "2026-06-11T14:56:01.082", "mongoId" : "6a2a688674d8ee00a06347d0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://micron.wd1.myworkdayjobs.com/External/job/MSB-Singapore/Intern---Manufacturing-Technician_JR101505", "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Data visualization", "Anomaly detection", "Trend analysis", "Data Analytics", "AI Techniques", "Manufacturing Performance", "Process optimization", "Data analysis", "Statistical methods", "Machine learning", "Die Attach process", "Semiconductor manufacturing" ], "skillCount" : 12, "jobCategory" : "engineering", "seniorityLevel" : "junior", "dataQualityScore" : 1.0, "_score" : 778.7029, "daysOld" : 2, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Semiconductor Manufacturing" }, { "id" : "6a308ec6f292fd229c0a5233", "title" : "Data Analytics & Engineering INTERN", "company" : "Western Digital", "industry" : "Computer Hardware", "salary" : { "min" : 240000.0, "max" : 360000.0, "currency" : "PHP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Data Analytics & Engineering Intern in Biñan, Philippines, adjusted for the technology industry and internship role." }, "location" : "Biñan, LAGUNA, PH", "locations" : [ "Biñan", "LAGUNA", "PH" ], "timestamp" : "2026-06-16T12:11:05.693", "fingerprint" : "81ee7f4e2558044287af2e77108fcab58e5757ca417bb6bd10f72187c7aa8758", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/WesternDigital/744000132106259-data-analytics-engineering-intern", "externalId" : "744000132106259", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Biñan", "state" : "Laguna", "country" : "Philippines", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "14.3388259,121.0841826" } ], "locationText" : "Biñan, Laguna, Philippines", "employmentType" : "INTERNSHIP", "experienceLevel" : "internship", "technicalSkills" : "Python, R, SQL, Power BI, Tableau", "hardSkillsList" : [ "Statistical modeling", "Machine learning basics", "ETL processes" ], "hardSkills" : [ { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Machine learning basics", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" } ], "majorSkills" : "Data Analytics, Data Engineering", "majorSkillsList" : [ "Data Analytics", "Data Engineering" ], "coreResponsibilities" : "Analyze engineering and manufacturing data, Identify trends, issues, and improvement opportunities, Support process monitoring, Support process optimization, Support process documentation, Work with engineers on experiments, Work with engineers on tests, Work with engineers on technical evaluations, Develop dashboards for operational metrics, Develop dashboards for process metrics, Develop reports for operational metrics, Develop reports for process metrics, Participate in problem-solving activities, Participate in root cause analysis activities, Contribute to design of experiments, Contribute to statistical studies, Support data cleaning, Support data validation, Support ETL-related tasks, Prepare technical summaries of findings, Prepare presentations of findings", "teamCollaboration" : "Cross-functional teams", "domainKnowledge" : "Advanced manufacturing; Process engineering; Data-driven problem solving; Precision mechanics; Manufacturing processes; Thin-film processes; Contamination control; Metrology tools", "domainList" : [ "advanced-manufacturing", "process-engineering", "data-driven-problem-solving", "precision-mechanics", "manufacturing-processes", "thin-film-processes", "contamination-control", "metrology-tools" ], "domainSpecificKnowledge" : [ "Advanced manufacturing", "Process engineering", "Data-driven problem solving", "Precision mechanics", "Manufacturing processes", "Thin-film processes", "Contamination control", "Metrology tools" ], "toolProficiency" : [ "Power BI", "Tableau" ], "communicationSkills" : "Written communication; Verbal communication; Technical summaries; Presentations", "documentationSkills" : "Process documentation", "continuousLearning" : "Mentorship; Development curriculum", "problemSolvingSkills" : "Problem-solving; Root cause analysis", "qualificationsBasic" : "Bachelor's degree or equivalent experience, Analytical and problem-solving skills, Ability to work with large datasets, Ability to work with technical information", "qualificationsPreferred" : "Basic knowledge of precision mechanics, Basic knowledge of manufacturing processes, Familiarity with thin-film processes, Familiarity with contamination control concepts, Understanding of metrology tools", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At WD, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible. At our core, WD is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we’ve been doing just that—our technology helped people put a man on the moon and capture the first-ever picture of a black hole. We offer an expansive portfolio of technologies, HDDs, and platforms for business, creative professionals, and consumers alike under our Western Digital®, WD®, and WD_BLACK™. We are a key partner to some of the largest and highest-growth organizations in the world. From enabling systems to make cities safer and more connected, to powering the data centers behind many of the world’s biggest companies and hyperscale cloud providers, to meeting the massive and ever-growing data storage needs of the AI era, WD is fueling a brighter, smarter future. Today’s exceptional challenges require your unique skills. Together, we can build the future of data storage. Program: Internship Program Department: Engineering / Manufacturing / Process / Data Analytics (varies by team) Duration: 2–6 months (typical) Target Onboarding: August/September 2026 Role Overview We are seeking motivated and detail-oriented interns from Data Analytics and Engineering-related disciplines to join our technical teams. This internship provides hands-on exposure to real-world engineering, manufacturing, and data analytics projects. Interns will support process improvement, data analysis, and technical investigations while working closely with engineers and cross-functional partners. This role is ideal for students who want practical experience in advanced manufacturing, process engineering, and data-driven problem solving. Key Responsibilities * Assist in analyzing engineering and manufacturing data to identify trends, issues, and improvement opportunities * Support process monitoring, optimization, and documentation activities * Work with engineers on experiments, tests, and technical evaluations * Help develop dashboards and reports for operational and process metrics * Participate in problem-solving and root cause analysis activities * Contribute to design of experiments (DOE) and statistical studies * Support data cleaning, validation, and ETL-related tasks * Prepare technical summaries and presentations of findings * Collaborate with cross-functional teams on assigned projects 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 ## Qualifications * Currently pursuing a Bachelor’s degree or has equivalent experience in any of the following majors or related programs: * Computer Science * Data Science * Industrial Engineering * Statistics * Physics * Mechanical Engineering / Mechatronics * Materials Science * Manufacturing Engineering * Strong analytical and problem-solving skills * Good written and verbal communication skills * Ability to work with large datasets and technical information * Detail-oriented with a structured and organized approach to tasks * Able to work both independently and collaboratively in a team environment Technical Skills (Preferred — not all required) * Basic knowledge of precision mechanics and manufacturing processes * Familiarity with thin-film processes and contamination control concepts * Understanding of metrology tools (e.g., AFM, profilometry) is a plus Exposure to: * Design of Experiments (DOE) * Statistical Process Control (SPC) * Failure analysis methods Programming / Analytics Tools: * Python or R * SQL Data & Reporting Tools: * Power BI or Tableau * Data visualization techniques Fundamentals of: * Statistical modeling * Machine learning basics * ETL processes What Interns Will Gain * Hands-on experience with real engineering and data projects * Exposure to advanced manufacturing and process technologies * Mentorship from experienced engineers and technical leaders * Practical experience with industry tools and analytics platforms * Opportunity to present project results to stakeholders ## Additional Information Important Reminders: * We provide free medical examination. * We do not collect any original requirements. * We do not collect any fees at any stage of the hiring process. 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 [jobs.accommodations@wdc.com](mailto:staffingsupport@wdc.com) 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](https://secure.ethicspoint.com/domain/media/en/gui/48999/index.html) or email [compliance@wdc.com](mailto:compliance@wdc.com).", "summaryDescription" : "Data Analytics & Engineering INTERN at Western Digital. Skills: Data Analytics, Data Engineering. Analyze engineering and manufacturing data. Identify trends, issues, and improvement opportunities", "postedDate" : "2026-06-15T02:47:15.000", "createdAt" : "2026-06-16T03:34:20.306", "lastUpdated" : "2026-06-16T12:11:05.693", "ingestTimestamp" : "2026-06-16T03:34:20.306", "mongoId" : "6a308ec6f292fd229c0a5233", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Statistical modeling", "Machine learning basics", "ETL processes", "Data Analytics", "Data Engineering", "Advanced manufacturing", "Process engineering", "Data-driven problem solving", "Precision mechanics", "Manufacturing processes", "Thin-film processes", "Contamination control", "Metrology tools", "Power BI", "Tableau" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "_score" : 777.78217, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a304f24f292fd229cee57da", "title" : "Data Analytics & Engineering INTERN", "company" : "Western Digital", "industry" : "Computer Hardware", "salary" : { "min" : 240000.0, "max" : 360000.0, "currency" : "PHP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Data Analytics & Engineering Intern in Biñan, Philippines, adjusted for the technology industry and internship role." }, "location" : "Biñan, LAGUNA, PH", "locations" : [ "Biñan", "LAGUNA", "PH" ], "timestamp" : "2026-06-16T04:35:28.813", "fingerprint" : "ef3e0f9d2b5464e255e116bd3a61dd5dcef426cbad4f6ace0c77ac76fc5ab58b", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/WesternDigital/744000132106259-data-analytics-engineering-intern", "externalId" : "744000132106259", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Biñan", "state" : "Laguna", "country" : "Philippines", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "14.3388259,121.0841826" } ], "locationText" : "Biñan, Laguna, Philippines", "employmentType" : "INTERNSHIP", "experienceLevel" : "internship", "technicalSkills" : "Python, R, SQL, Power BI, Tableau", "hardSkillsList" : [ "Statistical modeling", "Machine learning basics", "ETL processes" ], "hardSkills" : [ { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Machine learning basics", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" } ], "majorSkills" : "Data Analytics, Data Engineering", "majorSkillsList" : [ "Data Analytics", "Data Engineering" ], "coreResponsibilities" : "Analyze engineering and manufacturing data, Identify trends, issues, and improvement opportunities, Support process monitoring, Support process optimization, Support process documentation, Work with engineers on experiments, Work with engineers on tests, Work with engineers on technical evaluations, Develop dashboards for operational metrics, Develop dashboards for process metrics, Develop reports for operational metrics, Develop reports for process metrics, Participate in problem-solving, Participate in root cause analysis, Contribute to design of experiments, Contribute to statistical studies, Support data cleaning, Support data validation, Support ETL-related tasks, Prepare technical summaries, Prepare presentations of findings", "teamCollaboration" : "Cross-functional teams", "domainKnowledge" : "Advanced manufacturing; Process engineering; Data-driven problem solving; Precision mechanics; Manufacturing processes; Thin-film processes; Contamination control; Metrology tools", "domainList" : [ "advanced-manufacturing", "process-engineering", "data-driven-problem-solving", "precision-mechanics", "manufacturing-processes", "thin-film-processes", "contamination-control", "metrology-tools" ], "domainSpecificKnowledge" : [ "Advanced manufacturing", "Process engineering", "Data-driven problem solving", "Precision mechanics", "Manufacturing processes", "Thin-film processes", "Contamination control", "Metrology tools" ], "toolProficiency" : [ "Power BI", "Tableau" ], "communicationSkills" : "Written communication; Verbal communication; Technical summaries; Presentations", "documentationSkills" : "Process documentation", "continuousLearning" : "Mentorship; Development curriculum", "problemSolvingSkills" : "Problem-solving; Root cause analysis", "qualificationsBasic" : "Bachelor's degree or equivalent experience, Analytical and problem-solving skills, Ability to work with large datasets, Ability to work with technical information", "qualificationsPreferred" : "Basic knowledge of precision mechanics, Basic knowledge of manufacturing processes, Familiarity with thin-film processes, Familiarity with contamination control concepts, Understanding of metrology tools", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At WD, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible. At our core, WD is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we’ve been doing just that—our technology helped people put a man on the moon and capture the first-ever picture of a black hole. We offer an expansive portfolio of technologies, HDDs, and platforms for business, creative professionals, and consumers alike under our Western Digital®, WD®, and WD_BLACK™. We are a key partner to some of the largest and highest-growth organizations in the world. From enabling systems to make cities safer and more connected, to powering the data centers behind many of the world’s biggest companies and hyperscale cloud providers, to meeting the massive and ever-growing data storage needs of the AI era, WD is fueling a brighter, smarter future. Today’s exceptional challenges require your unique skills. Together, we can build the future of data storage. Program: Internship Program Department: Engineering / Manufacturing / Process / Data Analytics (varies by team) Duration: 2–6 months (typical) Target Onboarding: August/September 2026 Role Overview We are seeking motivated and detail-oriented interns from Data Analytics and Engineering-related disciplines to join our technical teams. This internship provides hands-on exposure to real-world engineering, manufacturing, and data analytics projects. Interns will support process improvement, data analysis, and technical investigations while working closely with engineers and cross-functional partners. This role is ideal for students who want practical experience in advanced manufacturing, process engineering, and data-driven problem solving. Key Responsibilities * Assist in analyzing engineering and manufacturing data to identify trends, issues, and improvement opportunities * Support process monitoring, optimization, and documentation activities * Work with engineers on experiments, tests, and technical evaluations * Help develop dashboards and reports for operational and process metrics * Participate in problem-solving and root cause analysis activities * Contribute to design of experiments (DOE) and statistical studies * Support data cleaning, validation, and ETL-related tasks * Prepare technical summaries and presentations of findings * Collaborate with cross-functional teams on assigned projects 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 ## Qualifications * Currently pursuing a Bachelor’s degree or has equivalent experience in any of the following majors or related programs: * Computer Science * Data Science * Industrial Engineering * Statistics * Physics * Mechanical Engineering / Mechatronics * Materials Science * Manufacturing Engineering * Strong analytical and problem-solving skills * Good written and verbal communication skills * Ability to work with large datasets and technical information * Detail-oriented with a structured and organized approach to tasks * Able to work both independently and collaboratively in a team environment Technical Skills (Preferred — not all required) * Basic knowledge of precision mechanics and manufacturing processes * Familiarity with thin-film processes and contamination control concepts * Understanding of metrology tools (e.g., AFM, profilometry) is a plus Exposure to: * Design of Experiments (DOE) * Statistical Process Control (SPC) * Failure analysis methods Programming / Analytics Tools: * Python or R * SQL Data & Reporting Tools: * Power BI or Tableau * Data visualization techniques Fundamentals of: * Statistical modeling * Machine learning basics * ETL processes What Interns Will Gain * Hands-on experience with real engineering and data projects * Exposure to advanced manufacturing and process technologies * Mentorship from experienced engineers and technical leaders * Practical experience with industry tools and analytics platforms * Opportunity to present project results to stakeholders ## Additional Information Important Reminders: * We provide free medical examination. * We do not collect any original requirements. * We do not collect any fees at any stage of the hiring process. 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 [jobs.accommodations@wdc.com](mailto:staffingsupport@wdc.com) 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](https://secure.ethicspoint.com/domain/media/en/gui/48999/index.html) or email [compliance@wdc.com](mailto:compliance@wdc.com).", "summaryDescription" : "Data Analytics & Engineering INTERN at Western Digital. Skills: Data Analytics, Data Engineering. Analyze engineering and manufacturing data. Identify trends, issues, and improvement opportunities", "postedDate" : "2026-06-15T02:47:15.000", "createdAt" : "2026-06-15T21:31:38.376", "lastUpdated" : "2026-06-16T04:35:28.813", "ingestTimestamp" : "2026-06-15T21:31:38.376", "mongoId" : "6a304f24f292fd229cee57da", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Statistical modeling", "Machine learning basics", "ETL processes", "Data Analytics", "Data Engineering", "Advanced manufacturing", "Process engineering", "Data-driven problem solving", "Precision mechanics", "Manufacturing processes", "Thin-film processes", "Contamination control", "Metrology tools", "Power BI", "Tableau" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "_score" : 777.78217, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c79a074d8ee00a09420b6", "title" : "Manufacturing Process Engineer", "company" : "Wedgewood Pharmacy", "industry" : "Manufacturing", "salary" : { "min" : 90000.0, "max" : 125000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Albany, OH", "locations" : [ "Albany", "OH" ], "timestamp" : "2026-06-15T09:18:14.570", "fingerprint" : "5d957205cb308ba466ccd9035e78d5324d8fb514d6302cfe24ff69d864d84f53", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/wedgewoodpharmacy/jobs/4258216009", "externalId" : "4258216009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Albany", "state" : "Ohio", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.2275735,-82.2023695" } ], "locationText" : "Albany, Ohio, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Sterile compounding, Process development, Equipment installation, Commissioning, Qualification, Validation, Preventive Maintenance, Calibration, Root cause investigations, Technology transfer, Scale-up", "professionalSkills" : [ "Process improvement", "Quality assurance", "Regulatory compliance", "Project management", "Vendor selection", "Budgeting" ], "hardSkillsList" : [ "Process engineering", "Pharmaceutical production", "CGMP standards", "SOP authoring", "Batch record maintenance", "Validation protocols", "Technical reports", "Capital projects" ], "softSkillsList" : [ "Adaptability" ], "hardSkills" : [ { "name" : "Process engineering", "level" : "intermediate" }, { "name" : "Pharmaceutical production", "level" : "intermediate" }, { "name" : "CGMP standards", "level" : "intermediate" }, { "name" : "SOP authoring", "level" : "intermediate" }, { "name" : "Batch record maintenance", "level" : "intermediate" }, { "name" : "Validation protocols", "level" : "intermediate" }, { "name" : "Technical reports", "level" : "intermediate" }, { "name" : "Capital projects", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Adaptability" } ], "majorSkills" : "Manufacturing processes, Sterile pharmaceutical production, CGMP compliance", "majorSkillsList" : [ "Manufacturing processes", "Sterile pharmaceutical production", "CGMP compliance" ], "coreResponsibilities" : "Design manufacturing processes, Develop manufacturing processes, Implement manufacturing processes, Develop tooling, Implement tooling, Develop workflows, Implement workflows, Support sterile compounding, Support production scale-up, Troubleshoot process issues, Troubleshoot equipment issues, Troubleshoot facility issues, Lead facility startup, Install equipment, Commission equipment, Qualify equipment, Validate equipment, Build manufacturing systems, Refine manufacturing systems, Build manufacturing documentation, Refine manufacturing documentation, Build manufacturing processes, Refine manufacturing processes, Partner with Quality, Partner with Operations, Partner with R&D, Ensure FDA compliance, Ensure cGMP compliance, Author cGMP documentation, Maintain cGMP documentation, Develop Preventive Maintenance programs, Implement Preventive Maintenance programs, Develop Calibration programs, Implement Calibration programs, Provide engineering support, Drive root cause investigations, Manage deviations, Manage CAPAs, Ensure process improvements, Support technology transfer, Support scale-up, Evaluate process improvements, Implement process improvements, Increase throughput, Reduce waste, Enhance product quality, Manage capital projects, Select vendors, Budget capital projects, Execute capital projects, Operate with urgency, Adapt to priorities", "teamCollaboration" : "Cross-functional teams; Quality, Operations, R&D", "projectManagementSkills" : [ "Capital projects" ], "domainKnowledge" : "Sterile pharmaceutical production; FDA requirements; cGMP requirements; 503B outsourcing facility", "domainList" : [ "sterile-pharmaceutical-production", "fda-requirements", "cgmp-requirements", "503b-outsourcing-facility" ], "domainSpecificKnowledge" : [ "Sterile pharmaceutical production", "FDA requirements", "cGMP requirements", "503B outsourcing facility" ], "toolProficiency" : [ "Autoclaves", "HVAC systems", "Refrigeration systems", "Filling equipment", "Compounding equipment", "Packaging equipment" ], "documentationSkills" : "SOPs; Batch records; Validation protocols; Technical reports", "continuousLearning" : "Tuition reimbursement", "problemSolvingSkills" : "Troubleshooting; Root cause analysis; Problem-solving", "specialRequirements" : "Occasional weekend work, Respond to emergencies, 10-15% travel", "outcomesObjectives" : "Minimize downtime; Ensure production continuity; Increase throughput; Reduce waste; Enhance product quality", "qualificationsBasic" : "Bachelor's degree in Engineering, 1–5+ years of experience, Basic understanding of cGMP, Troubleshooting and problem-solving skills, Positive, professional attitude, Ability to work independently, Ability to work in a team environment, Detail-oriented individual, Ability to work cross-functionally, Adapt in a growing environment, Attention to detail, Collaborative mindset", "qualificationsPreferred" : "Experience in a regulated environment, Knowledge of Regulatory and cGMP guidelines", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At Wedgewood Pharmacy, we are dedicated to improving the lives of animals through customized medication and compassionate care. Every role in our organization contributes to helping pets live healthier, happier lives. We are a team driven by purpose, quality, and a shared commitment to animal health. The Manufacturing Engineer will play a critical role in building and scaling manufacturing operations. This position is responsible for developing, implementing, and continuously improving manufacturing processes, equipment, and systems to support sterile pharmaceutical production. This is a highly hands-on role in a startup environment, requiring the ability to operate both strategically and tactically supporting day-to-day production while establishing scalable, compliant processes aligned with FDA and cGMP requirements. The Basics Location: Albany, Ohio Job Type: Full Time Schedule: Monday - Friday 8:00 am -4:30 pm (Must have the ability to respond to emergencies and be available for occasional weekend work for special projects) Compensation: The base pay range for this position is $90K-$125K base plus an annual bonus commensurate with the individual's experience and qualifications. Benefits: Eligible How You’ll Make an Impact Design, develop, and implement manufacturing processes, tooling, and workflows to support sterile compounding and production scale-up Troubleshoot process, equipment, and facility issues in real time to minimize downtime and ensure production continuity Lead facility startup activities, including equipment installation, commissioning, qualification (IQ/OQ/PQ), and validation Build and refine manufacturing systems, documentation, and processes from the ground up in a fast-paced environment Partner cross-functionally with Quality, Operations, and R&D to ensure compliance with U. S. Food and Drug Administration 503B outsourcing facility requirements and cGMP standards Author and maintain cGMP documentation including SOPs, batch records, validation protocols, and technical reports Develop and implement Preventive Maintenance and Calibration programs for critical manufacturing and facility equipment Provide engineering support for critical systems, including: Autoclaves and sterilization equipment Cleanroom and HVAC & Water systems (e.g., WFI, purified water) Refrigeration and controlled storage systems Filling, compounding, and packaging equipment Drive root cause investigations, deviations, and CAPAs to ensure sustainable process improvements Support technology transfer and scale-up of new products into manufacturing Evaluate and implement process improvements to increase throughput, reduce waste, and enhance product quality Manage capital projects, including vendor selection, budgeting, and execution Operate with a high sense of urgency and adaptability in a startup environment with evolving priorities What We’re Looking For Ability to travel up to 10-15% dependent on business needs Bachelor’s degree in Engineering, Life Sciences, or related technical field 1–5+ years of experience in manufacturing, engineering, or a regulated environment (internships/co-ops considered) Basic understanding of cGMP or regulated industry practices Strong troubleshooting and problem-solving skills You bring a positive, professional attitude and can communicate and collaborate with all levels of employees, customers, contractors & vendors. Comprehensive knowledge of Regulatory and cGMP guidelines, with the ability to contribute to quality records (Deviations, Investigations, CAPA, and Change Control). Ability to work independently and in a team environment Thrive in a fast-paced environment and adapt to changing priorities Detail-oriented individual who understands the importance of accuracy and responsiveness Ability to work cross-functionally and adapt in a growing environment Strong attention to detail and ability to thrive in a fast-paced environment Collaborative mindset and commitment to team success What You’ll Love About Wedgewood Opportunities for growth and career development A supportive, team-first culture where your work matters The ability to make a real impact on animal health every day A comprehensive benefits package that includes health, dental, and flexible spending accounts 401(k) retirement plan with a generous company contribution to help you save for the future Company Paid Life and disability insurance Access to voluntary insurance options A generous paid time off program that increases every year Tuition reimbursement Why We Do What We Do At Wedgewood Pharmacy, your work has purpose. Every prescription you help prepare, support, or deliver contributes to improving the health and well-being of animals. We are passionate about what we do and proud to build a workplace where people feel supported, included, and valued. Our Commitment to Inclusion Wedgewood Pharmacy is an equal opportunity employer. We are committed to building a diverse and inclusive workplace where everyone can thrive.", "summaryDescription" : "Manufacturing Process Engineer at Wedgewood Pharmacy. Skills: Manufacturing processes, Sterile pharmaceutical production, CGMP compliance. Design manufacturing processes. Develop manufacturing processes", "postedDate" : "2026-06-14T02:59:05.250", "createdAt" : "2026-06-14T02:59:05.250", "lastUpdated" : "2026-06-15T09:18:14.570", "ingestTimestamp" : "2026-06-14T02:59:05.250", "mongoId" : "6a2c79a074d8ee00a09420b6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 90000, "salaryAnnualMax" : 125000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Process engineering", "Pharmaceutical production", "CGMP standards", "SOP authoring", "Batch record maintenance", "Validation protocols", "Technical reports", "Capital projects", "Adaptability", "Manufacturing processes", "Sterile pharmaceutical production", "CGMP compliance", "Process improvement", "Quality assurance", "Regulatory compliance", "Project management", "Vendor selection", "Budgeting", "FDA requirements", "cGMP requirements", "503B outsourcing facility", "Autoclaves", "HVAC systems", "Refrigeration systems", "Filling equipment", "Compounding equipment", "Packaging equipment" ], "skillCount" : 27, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "_score" : 771.77686, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Pharma", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c79a074d8ee00a09420b7", "title" : "Manufacturing Technician", "company" : "Wedgewood Pharmacy", "industry" : "Pharma", "salary" : { "min" : 19.0, "max" : 21.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Albany, OH", "locations" : [ "Albany", "OH" ], "timestamp" : "2026-06-15T11:20:26.119", "fingerprint" : "0aedad788d649f3c24890f8ce5e725b6a00ea144c1940dde6d68c0c88ca71364", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/wedgewoodpharmacy/jobs/4248542009", "externalId" : "4248542009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Albany", "state" : "Ohio", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.2275735,-82.2023695" } ], "locationText" : "Albany, Ohio, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "High School", "hardSkillsList" : [ "Sterile manufacturing processes" ], "hardSkills" : [ { "name" : "Sterile manufacturing processes", "level" : "intermediate" } ], "majorSkills" : "Cleanroom environment, CGMP, SOPs", "majorSkillsList" : [ "Cleanroom environment", "CGMP", "SOPs" ], "coreResponsibilities" : "Prepare sterile veterinary medications, Fill sterile veterinary medications, Inspect sterile veterinary medications, Package sterile veterinary medications, Follow SOPs, Follow batch records, Maintain production documentation, Maintain traceability records, Monitor equipment, Report equipment issues, Keep workspaces organized, Keep workspaces aseptic", "teamCollaboration" : "Collaborative environment", "domainKnowledge" : "cGMP; Regulated production environments; Sterile manufacturing processes", "domainList" : [ "cgmp", "regulated-production-environments", "sterile-manufacturing-processes" ], "domainSpecificKnowledge" : [ "cGMP", "Regulated production environments", "Sterile manufacturing processes" ], "documentationSkills" : "Production documentation", "continuousLearning" : "Tuition reimbursement", "qualificationsBasic" : "High school diploma or GED", "qualificationsPreferred" : "1+ year experience in manufacturing, Sterile production experience, Cleanroom environments experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At Wedgewood Pharmacy, we are dedicated to improving the lives of animals through customized medication and compassionate care. Every role in our organization contributes to helping pets live healthier, happier lives. We are a team driven by purpose, quality, and a shared commitment to animal health. We are looking for a Manufacturing Technician to join our team. You will support our mission by ensuring high-quality execution of daily tasks, maintaining accuracy, and fostering a collaborative environment focused on patient care and continuous improvement. The Basics Job Type: Full Time Schedule: Monday–Friday, 6:00 AM - 2:30 PM. Shift patterns may change in the future as the site continues to grow. Benefits: Eligible How You’ll Make an Impact Prepare, fill, inspect, and package sterile veterinary medications in a cleanroom environment. Follow SOPs and batch records to ensure product quality, accuracy, and regulatory compliance. Maintain detailed production documentation and traceability records. Monitor equipment and report issues to prevent downtime or product defects. Keep workspaces organized and aseptic, adhering to 5S and cleanroom standards. What We’re Looking For High school diploma or GED required. 1+ year experience in manufacturing, sterile production, or cleanroom environments preferred. Knowledge of cGMP, regulated production environments, or sterile manufacturing processes. Strong attention to detail and ability to thrive in a fast-paced environment. Collaborative mindset and commitment to team success. What You’ll Love About Wedgewood A comprehensive benefits package including health, dental, and flexible spending accounts. 401(k) retirement plan with a generous company contribution. Company-paid life and disability insurance. Access to voluntary insurance options. A generous paid time off program that increases every year. Tuition reimbursement. Opportunities for growth through our internal job posting program. #hp Pay Range $19—$21 USD Why We Do What We Do At Wedgewood Pharmacy, your work has purpose. Every prescription you help prepare, support, or deliver contributes to improving the health and well-being of animals. We are passionate about what we do and proud to build a workplace where people feel supported, included, and valued. Our Commitment to Inclusion Wedgewood Pharmacy is an equal opportunity employer. We are committed to building a diverse and inclusive workplace where everyone can thrive.", "summaryDescription" : "Manufacturing Technician at Wedgewood Pharmacy. Skills: Cleanroom environment, CGMP, SOPs. Prepare sterile veterinary medications. Fill sterile veterinary medications", "postedDate" : "2026-06-14T08:06:30.359", "createdAt" : "2026-06-14T08:06:30.359", "lastUpdated" : "2026-06-15T11:20:26.119", "ingestTimestamp" : "2026-06-14T08:06:30.359", "mongoId" : "6a2c79a074d8ee00a09420b7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMax" : 21, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Sterile manufacturing processes", "Cleanroom environment", "CGMP", "SOPs", "cGMP", "Regulated production environments" ], "skillCount" : 6, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "_score" : 767.63617, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Pharma", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3050a0f292fd229cef2fe1", "title" : "Intern", "company" : "Enpal", "industry" : "Installation PV", "salary" : { "min" : 12000.0, "max" : 18000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on the German market baseline for entry-level internships in the climate tech industry, adjusted for the Berlin city tier and the typical compensation for interns at companies like Enpal." }, "location" : "DE Berlin - Enpal Campus", "locations" : [ "DE Berlin - Enpal Campus" ], "timestamp" : "2026-06-16T11:33:27.907", "fingerprint" : "e65ac96d4bf26a23fb93878354170fb3deda60163bd52040d215e8795d05ddcd", "source" : "ashby", "language" : "de", "applyUrl" : "https://jobs.ashbyhq.com/enpal/0e6926db-1e7a-4503-9da2-5d0055793d4f/application", "externalId" : "0e6926db-1e7a-4503-9da2-5d0055793d4f", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Berlin", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.5173885,13.3951309" } ], "locationText" : "Berlin, Germany", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Python, SQL, Excel, Power BI, Airtable, APIs, No-Code, Low-Code", "professionalSkills" : [ "Process automation", "Data engineering", "Business development", "Growth" ], "hardSkillsList" : [ "Data analysis", "Forecasting models", "Process optimization", "Automation solutions" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Forecasting models", "level" : "intermediate" }, { "name" : "Process optimization", "level" : "intermediate" }, { "name" : "Automation solutions", "level" : "intermediate" } ], "majorSkills" : "Data analysis, Automation, AI, Data engineering", "majorSkillsList" : [ "Data analysis", "Automation", "AI", "Data engineering" ], "coreResponsibilities" : "Analyze and optimize business processes, Implement automation solutions, Integrate AI solutions, Create interactive dashboards, Create reports, Perform data analyses, Support forecasting models, Support data-based forecasts, Derive action recommendations, Document processes, Scale automation solutions", "teamCollaboration" : "Cross-departmental projects", "domainKnowledge" : "Decentralized energy; Energy market; Solar energy; Battery storage; Electric vehicles; Heat pumps", "domainList" : [ "decentralized-energy", "energy-market", "solar-energy", "battery-storage", "electric-vehicles", "heat-pumps" ], "domainSpecificKnowledge" : [ "Decentralized energy", "Energy market", "Solar energy", "Battery storage", "Electric vehicles", "Heat pumps" ], "toolProficiency" : [ "Excel", "Airtable", "Power BI" ], "communicationSkills" : "Presentation skills", "documentationSkills" : "Process documentation", "continuousLearning" : "Process automation; Data engineering; Data-driven solutions", "problemSolvingSkills" : "Analytical thinking; Data-driven decision making; Solution-oriented", "qualificationsBasic" : "Ongoing studies in economics, data science, computer science, engineering or similar, Basic experience with data analysis (e.g., Excel, Python, SQL or BI tools), Knowledge of KPI definition and performance measurement, Understanding of business processes and scaling logic", "qualificationsPreferred" : "Basic understanding of Machine Learning / AI applications is an advantage, Experience with or interest in automation tools is a plus", "remoteFriendly" : true, "workSiteFlexibility" : "Onsite", "rawDescription" : "Unser Ziel ist eine Solaranlage auf jedem Dach, ein Speicher in jedem Haus und ein E-Auto in jeder Garage. Enpal macht das möglich mit einer integrierten Gesamtlösung für dezentrale Energie – von Solaranlage und Batteriespeicher über Wallbox, Smart Meter bis zur Wärmepumpe. Herzstück ist unsere KI-gestützte Plattform Enpal.One+, die tausende Systeme intelligent vernetzt und Strombezug sowie -einspeisung effizient am Energiemarkt optimiert. Bist Du bereit für Lösungen, die mehr als nur ein Versprechen sind und täglich echte Lebensqualität in tausende Haushalte bringen? Was du bei Enpal gestaltest, liefert morgen sauberen Strom und verändert nachhaltig, wie wir Energie nutzen. DEINE AUFGABEN - Analyse und Optimierung bestehender Geschäftsprozesse mit Fokus auf Automatisierungspotenziale - Konzeption und Implementierung von Automationslösungen (z. B. mit APIs, No-Code/Low-Code-Tools oder Skripten) - Unterstützung bei der Integration von KI-Lösungen in operative und strategische Prozesse - Erstellung interaktiver Dashboards und Reports (z. B. Excel, Airtable, Power BI) - Durchführung von Datenanalysen zur Identifikation von Trends, Mustern und Optimierungspotenzialen - Unterstützung bei Forecasting-Modellen und datenbasierten Prognosen - Ableitung konkreter Handlungsempfehlungen für verschiedene Unternehmensbereiche - Mitarbeit an bereichsübergreifenden Projekten (z. B. Business Development, Operations, Marketing) - Dokumentation und Skalierung von Prozessen und Automationslösungen DEIN PROFIL - Du befindest dich in einem laufenden Studium im Bereich Wirtschaft, Data Science, Informatik, Ingenieurwesen oder vergleichbar oder hast ein starkes fachliches Interesse an den genannten Themenfeldern - Starkes Interesse an Automation, Künstlicher Intelligenz und datengetriebenem Arbeiten - Erste Erfahrung mit Datenanalyse (z. B. Excel, Python, SQL oder BI-Tools) - Grundverständnis von Machine Learning / AI-Anwendungen von Vorteil - Erfahrung mit oder Interesse an Automations-Tools ist ein Plus - Analytisches Denkvermögen und Fähigkeit zur datenbasierten Entscheidungsfindung - Kenntnisse in KPI-Definition und Performance-Messung - Verständnis für Geschäftsprozesse und Skalierungslogiken - Strukturierte, eigenständige und lösungsorientierte Arbeitsweise - Gute Kommunikations- und Präsentationsfähigkeiten - Teamfähigkeit und Interesse an bereichsübergreifender Zusammenarbeit Du bist interessiert, auch wenn du nicht alle Anforderungen erfüllst? Bewirb dich trotzdem! Wir freuen uns darauf, dein Potenzial zu entdecken - unabhängig davon, ob deine Erfahrung jede einzelne Voraussetzung erfüllt. ☀️ WAS DU LERNST / MITNIMMST - Praktische Erfahrung in der Integration von AI in reale Business-Prozesse - Aufbau von Know-how im Bereich Process Automation & Data Engineering - Entwicklung von skalierbaren, datengetriebenen Lösungen - Einblicke in strategisches Business Development und Growth-Themen - Arbeit an echten Use Cases mit direktem Impact DARAUF KANNST DU DICH FREUEN - Arbeite in Deutschlands erstem grünen Unicorn - Gestalte aktiv die solare Energiewende mit. - Die Sonne scheint auf der ganzen Welt - Bei Enpal arbeitest du mit einem hochmotivierten, diversen Team aus über 65 Nationalitäten. - Das ideale Setup für deinen Fokus – exzellente Ergebnisse entstehen dort, wo die Bedingungen stimmen. Deshalb arbeitest du bei uns vor Ort in unserem Office in Berlin-Friedrichshain – mit kurzen Wegen, direktem Austausch und allem Setup, das du für konzentriertes Arbeiten brauchst. - Grown-up Business & Startup Spirit - In unserem modernen Office in Berlin-Friedrichshain findest du von höhenverstellbaren Tischen, Tischtennisplatte bis gefüllten Getränkekühlschränken und Barista-Coffee alles was das Herz begehrt. - Dein Kick-start bei Enpal - Onboarding-Tag mit Welcome Bag, Buddy-Programm und einem Team, das dich wirklich abholt. - Bleib auf dem Laufenden & gestalte mit - Transparente All-Hands, kurze Entscheidungswege und eine offene Feedback-Kultur, denn ohne Fehler gibt es keinen Fortschritt. - Energiewende geht nur gemeinsam - Bei Enpal erwartet dich ein legendärer Teamspirit und unvergessliche Team- und Companyevents. - Dein Extra-Boost - 29 + 2 Urlaubstage, vergünstigte Mitgliedschaft bei Wellhub und Corporate Benefits. Alles, was dir hilft, Arbeit und Leben gut zu verbinden. Wir bei Enpal sind stolz auf die Vielfältigkeit unseres Teams. Weder bei der Einstellung noch während des Beschäftigungsverhältnisses werden Entscheidungen auf Basis von Hautfarbe, Religion oder religiösen Glaubens, ethnischer oder nationaler Herkunft, Nationalität, Geschlechteridentität, sexuelle Orientierung, Behinderung oder Alter getroffen. Enpal steht für einen sicheren Arbeitsplatz und geht gegen Diskriminierung und Belästigung jeglicher Art vor.", "summaryDescription" : "Intern at Enpal. Skills: Data analysis, Automation, AI, Data engineering. Analyze and optimize business processes. Implement automation solutions", "createdAt" : "2026-06-16T00:27:16.405", "lastUpdated" : "2026-06-16T11:33:27.907", "ingestTimestamp" : "2026-06-16T00:27:16.405", "mongoId" : "6a3050a0f292fd229cef2fe1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Forecasting models", "Process optimization", "Automation solutions", "Automation", "AI", "Data engineering", "Process automation", "Business development", "Growth", "Decentralized energy", "Energy market", "Solar energy", "Battery storage", "Electric vehicles", "Heat pumps", "Excel", "Airtable", "Power BI" ], "skillCount" : 19, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 767.28973, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Climate Tech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6cc274d8ee00a091b2cd", "title" : "Pipelayer - Wet Utilities", "company" : "Muller, Inc.", "salary" : { "min" : 54000.0, "max" : 78000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-seniority Pipelayer - Wet Utilities in Manassas, United States, adjusted for the construction industry." }, "location" : "Manassas, Virginia, United States", "locations" : [ "Manassas", "Virginia", "United States" ], "timestamp" : "2026-06-15T06:59:51.072", "fingerprint" : "675f53282fffe0fe8dd9b5670b6d14727afb18c438dac20834e41a4c09644786", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/mullerinc/jobs/7771641003", "externalId" : "7771641003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Manassas", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.7509488,-77.4752667" } ], "locationText" : "Manassas, Virginia, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "High School", "hardSkillsList" : [ "Pipe laying techniques" ], "hardSkills" : [ { "name" : "Pipe laying techniques", "level" : "intermediate" } ], "majorSkills" : "Wet Utilities, Pipe installation", "majorSkillsList" : [ "Wet Utilities", "Pipe installation" ], "coreResponsibilities" : "Ensure job site safety, Ensure proper excavation, Ensure proper compaction, Install sanitary sewer structures, Install storm water sewer structures, Install pipe systems, Cut pipes to required lengths, Assist in aligning pipes, Align pipes during construction, Position pipes for welding, Position pipes for sealing, Check slopes for conformance, Connect pipe pieces, Seal pipe joints, Tap holes into pipes, Drill holes into pipes, Cover pipes with earth, Cover pipes with materials, Grade trench bases, Level trench bases, Train others in pipe-laying", "domainKnowledge" : "Sanitary sewer systems; Storm water sewer systems; Pipeline construction", "domainList" : [ "sanitary-sewer-systems", "storm-water-sewer-systems", "pipeline-construction" ], "domainSpecificKnowledge" : [ "Sanitary sewer systems", "Storm water sewer systems", "Pipeline construction" ], "toolProficiency" : [ "Levels", "Lasers", "Tamping machines" ], "continuousLearning" : "Ongoing training; Career development", "specialRequirements" : "Report directly to job sites", "qualificationsBasic" : "Authorized to work in US, Physically fit for manual labor, Heavy lifting up to 50 lbs, Sit and stand regularly, Use hands to fingers, Verbally communicate and listen, Walking, climbing or balancing, Stooping, kneeling, crouching or crawling, Distance vision, Color vision, Peripheral vision, Depth perception, Ability to adjust focus", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Responsibilities: Ensure job site safety Ensure proper excavation & compaction procedures are performed Install sanitary and storm water sewer structures and pipe systems Cut pipes to required lengths Assist in aligning pipes during pipeline construction Align and position pipes to prepare them for welding or sealing Check slopes for conformance to requirements, using levels or lasers Connect pipe pieces and seal joints, using welding equipment, cement, fittings, or glue Tap and drill holes into pipes to introduce auxiliary lines or devices Cover pipes with earth or other materials Grade and level trench bases, using tamping machines and hand tools Train others in pipe-laying techniques Requirements: Must be authorized to work in the United States Must be able to report directly to jobsties Physical Requirements: Employee must be physically fit to perform manual labor in all types of environments and conditions, including heavy lifting (up to 50 lbs.). Regularly required to sit and stand, must be able to use hands to fingers, handle or feel, and verbally communicate and listen. Other physical requirements include walking, climbing or balancing and stooping, kneeling, crouching or crawling. Specific vision abilities required by the position include distance vision, color vision, peripheral vision, depth perception and the ability to adjust focus. Compensation & Benefits: Competitive pay based on experience and certifications Full benefits package (Medical, Dental, Vision, Life) Supplemental coverage (Short-Term Disability, Accident, Critical Illness, Hospital Confinement) Paid Time Off 401(k) with company match Ongoing training and career development opportunities", "summaryDescription" : "Pipelayer - Wet Utilities at Muller, Inc.. Skills: Wet Utilities, Pipe installation. Ensure job site safety. Ensure proper excavation", "postedDate" : "2026-06-14T02:54:22.563", "createdAt" : "2026-06-14T02:54:22.563", "lastUpdated" : "2026-06-15T06:59:51.072", "ingestTimestamp" : "2026-06-14T02:54:22.563", "mongoId" : "6a2c6cc274d8ee00a091b2cd", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 54000, "salaryAnnualMax" : 78000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Pipe laying techniques", "Wet Utilities", "Pipe installation", "Sanitary sewer systems", "Storm water sewer systems", "Pipeline construction", "Levels", "Lasers", "Tamping machines" ], "skillCount" : 9, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 766.894, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Construction", "llmIndustryConfidence" : 0.92 }, { "id" : "6a30518cf292fd229cf0208d", "title" : "Manufacturing Technician - 2nd Shift", "company" : "US Conec, Ltd.", "industry" : "Manufacturing", "salary" : { "min" : 54000.0, "max" : 78000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Manufacturing Technician in Fort Worth, United States, adjusted for industry and company size." }, "location" : "Fort Worth, Texas, United States", "locations" : [ "Fort Worth", "Texas", "United States" ], "timestamp" : "2026-06-16T06:29:41.011", "fingerprint" : "c5c369300969cd4fa911b6e627de1016cceeb206ff0ecf17722ea71c2bb39bbf", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/usconec/jobs/4018604009", "externalId" : "4018604009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Fort Worth", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.7531770,-97.3327459" } ], "locationText" : "Fort Worth, Texas, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "High School", "hardSkillsList" : [ "Blueprint reading", "Basic math" ], "hardSkills" : [ { "name" : "Blueprint reading", "level" : "intermediate" }, { "name" : "Basic math", "level" : "intermediate" } ], "majorSkills" : "Manufacturing processes, Quality control", "majorSkillsList" : [ "Manufacturing processes", "Quality control" ], "coreResponsibilities" : "Operate manufacturing equipment, Perform quality checks, Maintain a clean work area, Follow safety procedures, Assist with machine setup, Read and interpret blueprints, Use precision measuring tools", "teamCollaboration" : "Work with supervisors", "domainKnowledge" : "Manufacturing operations", "domainList" : [ "manufacturing-operations" ], "domainSpecificKnowledge" : [ "Manufacturing operations" ], "toolProficiency" : [ "Calipers", "Micrometers" ], "problemSolvingSkills" : "Troubleshooting equipment issues", "specialRequirements" : "Ability to lift 50 lbs, Work 2nd shift", "qualificationsBasic" : "High School diploma or GED, 2+ years manufacturing experience, Ability to read and interpret blueprints, Basic math skills, Ability to lift 50 lbs", "qualificationsPreferred" : "Experience with CNC machines, Basic computer skills", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "US Conec, Ltd. Engineering Innovation. Precision Plastics. Powering AI. US Conec, Ltd. is a trusted, global company that prides itself on engineering excellence—creating innovative connectivity solutions that support today’s most important technologies. We foster a friendly, inclusive culture that values teamwork, creativity, and mutual respect. At US Conec, you’ll find real opportunities to grow and make a meaningful impact in a company that genuinely cares about its people and its customers. With competitive compensation, excellent benefits, and a supportive environment, this is a place where you can build your future—whether your interests lie in manufacturing, engineering, operations, or beyond. Manufacturing Technician - 2nd Shift (2:00pm – 10:00pm) Overview US Conec is seeking a hands-on Manufacturing Technician to join our 2nd shift Operations team. In this role, you’ll maintain, support, and optimize the equipment that powers our daily manufacturing processes. You’ll collaborate with engineers and cross-functional teams to ensure equipment reliability, streamline workflows, and contribute to continuous improvement across the floor. If you’re mechanically inclined, detail-oriented, and thrive in a fast-paced environment, we’d love to meet you. Responsibilities Maintain and troubleshoot equipment including arbor presses, servo presses, airlines, adapter test machines, hot stamp machines, pin clamp scanners, and other tools Inspect, clean, and repair equipment to minimize downtime and disruptions Organize and catalog equipment inventory to ensure accessibility and proper maintenance Support serialization and tracking of tools to streamline operations Operate and maintain 3D printers for rapid prototyping and manufacturing needs Collaborate with manufacturing and project engineers to assist with daily tasks and small projects Assist the Quality department in fixture creation to improve product consistency Maintain accurate documentation related to equipment maintenance and process improvements Uphold safety protocols and ensure compliance with company and industry standards Must Haves High school diploma or GED Experience as an Engineering Technician or similar role focused on equipment maintenance Hands-on experience with troubleshooting and maintaining manufacturing equipment Familiarity with 3D printing technology and processes Strong mechanical aptitude and problem-solving skills Excellent organizational skills and attention to detail Effective communication skills for cross-functional collaboration Adaptability in a dynamic, fast-paced environment Commitment to accurate documentation and safety compliance What We Offer Competitive compensation with shift-based incentives Comprehensive health, dental, and vision insurance plans Paid time off and holidays to support work-life balance 401(k) retirement savings plan with employer match A collaborative, innovation-driven culture Opportunities for professional development and cross-training Inclusive workplace with reasonable accommodations for qualified individuals US Conec will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E, F-1, H-1, H-2, L, B, J, or TN or who need sponsorship for work authorization now or in the future, are not eligible for hire. Join US Conec today and be part of a team that values each other, promotes innovation and growth, and strives to exceed customer expectations in everything we do. US Conec is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, disability, protected veteran status, or any other legally protected characteristics", "summaryDescription" : "Manufacturing Technician - 2nd Shift at US Conec, Ltd.. Skills: Manufacturing processes, Quality control. Operate manufacturing equipment. Perform quality checks", "postedDate" : "2026-06-15T23:18:19.952", "createdAt" : "2026-06-15T23:18:19.952", "lastUpdated" : "2026-06-16T06:29:41.011", "ingestTimestamp" : "2026-06-15T23:18:19.952", "mongoId" : "6a30518cf292fd229cf0208d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 54000, "salaryAnnualMax" : 78000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Blueprint reading", "Basic math", "Manufacturing processes", "Quality control", "Manufacturing operations", "Calipers", "Micrometers" ], "skillCount" : 7, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 766.8446, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.98 }, { "id" : "69ce5e3b9bc74574cb677aa8", "title" : "Sales Data Analysis", "company" : "Beijing Mercedes-Benz Sales Service Co.", "industry" : "Retail", "salary" : { "min" : 150000.0, "max" : 250000.0, "currency" : "CNY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a junior sales data analyst in Beijing, China, with adjustments for the automotive industry and company size." }, "location" : "China (Mainland)-Beijing-Beijing", "locations" : [ "China (Mainland)-Beijing-Beijing", "Daimler Tower, 8 Wangjing Street, , Beijing" ], "timestamp" : "2026-06-15T13:43:47.516", "fingerprint" : "6cb0dd412af2e7f9ea9660c00f521a0f4655e5f18db98b0278517305d4f706d0", "source" : "taleo", "language" : "en", "applyUrl" : "https://daimler.taleo.net/careersection/ex/jobdetail.ftl?job=883272", "externalId" : "883272", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Beijing", "country" : "China", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "39.9057136,116.3912972" } ], "locationText" : "Beijing, China", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "SQL, Python, R, Excel Power Query, Tableau Prep, Alteryx, Tableau, Power BI", "professionalSkills" : [ "Market trend analysis", "Sales performance analysis", "Data visualization" ], "hardSkillsList" : [ "Data extraction", "Data processing", "Data validation", "Sales reporting", "Dashboard creation" ], "hardSkills" : [ { "name" : "Data extraction", "level" : "intermediate" }, { "name" : "Data processing", "level" : "intermediate" }, { "name" : "Data validation", "level" : "intermediate" }, { "name" : "Sales reporting", "level" : "intermediate" }, { "name" : "Dashboard creation", "level" : "intermediate" } ], "majorSkills" : "Data analysis, Sales reporting, Data visualization", "majorSkillsList" : [ "Data analysis", "Sales reporting", "Data visualization" ], "coreResponsibilities" : "Extract, process, and validate sales data, Support sales reporting and performance, Prepare accurate and timely sales reports, Assist in market trend analysis, Assist in ad-hoc topics analysis, Prepare presentation for sales related, Collaborate with IT and data teams, Ensure data integrity and accessibility, Cleanse and validate data, Maintain data extraction processes and scripts, Report on sales KPIs, Deliver month-end/year-end retail landing results, Create dashboards, analysis, reports, and visualizations, Provide business insight, Analyze market trends and sales performance, Support tactical teams with data, Help prepare presentation materials, Document data extraction and reporting processes, Improve data structures and reporting efficiency, Ensure compliance with data security and governance policies", "teamCollaboration" : "Collaborate with IT; Collaborate with data teams", "domainKnowledge" : "Sales reporting; Automotive industry; Sales industry", "domainList" : [ "sales-reporting", "automotive-industry", "sales-industry" ], "domainSpecificKnowledge" : [ "Sales reporting", "Automotive industry", "Sales industry" ], "toolProficiency" : [ "SQL", "Python", "R", "Excel Power Query", "Tableau Prep", "Alteryx", "Tableau", "Power BI" ], "communicationSkills" : "Presentation preparation", "documentationSkills" : "Document data extraction; Document reporting processes", "problemSolvingSkills" : "Data analysis; Ad-hoc analysis", "outcomesObjectives" : "Support sales reporting and performance; Prepare accurate and timely sales reports; Deliver month-end/year-end retail landing results", "qualificationsBasic" : "Bachelor degree or above, Data analysis tools or scripting, SQL, Python, R, Excel Power Query, Tableau Prep, Alteryx, English level CET 6", "qualificationsPreferred" : "Data Science, Business, Information Systems, or related fields, Familiarity with data visualization tools, 2 years' experience in data extraction, reporting, or automotive or sales industry background, High attention to detail, Commitment to data accuracy", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Objective of job: 1. Extract, process, and validate sales data from data lakes and databases using data analysis tools or scripting methods (SQL, database, & etc.) to support sales reporting and performance tracking; 2. Prepare accurate and timely sales reports to support sales steering; 3. Assist in market trend analysis and ad-hoc topics analysis ; 4. Presentation preparation for sales related topics; 5. Collaborate with IT and data teams to ensure data integrity and accessibility for sales reporting. Task description: 1. Data Extraction & Processing - Extract sales data from data sources using appropriate tools or scripts - Cleanse and validate data to ensure accuracy and consistency - Maintain data extraction processes and scripts (where applicable) 2. Sales Reporting & Dashboards - Responsible for in-time and accurate operational report and analysis for central and region sales & marketing (daily reports) - Proactively reporting on sales KPIs include but not limited to sales pace, RT/WS TA achievement, showroom traffic, order performance and sales funnel on different data granularities - Month-end/year-end retail landing result delivery - Leading interpretation of business requirements to create dashboards, analysis, reports, and other data visualizations that provide business insight 3. Basic Market & Sales Analysis - Assist in analyzing market trends and sales performance based on extracted data - Support tactical teams with data for ad-hoc analysis - Help prepare presentation materials with reliable data inputs 4. Process & Data Governance - Document data extraction and reporting processes - Work with IT to improve data structures and reporting efficiency - Ensure compliance with data security and governance policies. - Bachelor degree or above, preferably in Data Science, Business, Information Systems, or related fields. - Practical experience in using data analysis tools or scripting for data extraction and processing (e.g., SQL, Python, R, Excel Power Query, Tableau Prep, Alteryx, or similar). - Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus. - English level-CET 6 and above. - 2 years’ experience in data extraction, reporting, or analysis; automotive or sales industry background preferred. - High attention to detail and a strong commitment to data accuracy. Beijing Mercedes-Benz Sales Service Co., Ltd.", "summaryDescription" : "Sales Data Analysis at Beijing Mercedes-Benz Sales Service Co.. Skills: Data analysis, Sales reporting, Data visualization. Extract, process, and validate sales data. Support sales reporting and performance", "createdAt" : "2026-06-14T06:42:27.615", "lastUpdated" : "2026-06-15T13:43:47.516", "ingestTimestamp" : "2026-06-14T06:42:27.615", "mongoId" : "69ce5e3b9bc74574cb677aa8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Data extraction", "Data processing", "Data validation", "Sales reporting", "Dashboard creation", "Data analysis", "Data visualization", "Market trend analysis", "Sales performance analysis", "Automotive industry", "Sales industry", "SQL", "Python", "R", "Excel Power Query", "Tableau Prep", "Alteryx", "Tableau", "Power BI" ], "skillCount" : 19, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "_score" : 761.7914, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305739f292fd229cf35d48", "title" : "Process Technician", "company" : "Anduril Industries", "industry" : "Manufacturing", "salary" : { "min" : 75000.0, "max" : 105000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Process Technician in Hudson, United States, adjusted for mid-seniority and the defense technology industry." }, "location" : "Hudson, New Hampshire, United States", "locations" : [ "Hudson", "New Hampshire", "United States" ], "timestamp" : "2026-06-16T07:56:59.989", "fingerprint" : "99d0da7452fb850146aba62a791c19d17ac2f59ea4382f860eb4f149b8123c3b", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://boards.greenhouse.io/andurilindustries/jobs/5164791007?gh_jid=5164791007", "externalId" : "5164791007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hudson", "state" : "New Hampshire", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.7655784,-71.4393423" } ], "locationText" : "Hudson, New Hampshire, United States", "employmentType" : "FULL_TIME", "coreResponsibilities" : "Operate specialized vacuum systems, Maintain specialized vacuum systems, Ensure quality of IDCA production, Ensure efficiency of IDCA production, Execute vacuum processes, Execute cryogenic processes", "domainKnowledge" : "Infrared imaging solutions; AI-powered operating system; Autonomy; AI; Computer vision; Sensor fusion; Networking technology; Thermal imaging", "domainList" : [ "infrared-imaging-solutions", "ai-powered-operating-system", "autonomy", "ai", "computer-vision", "sensor-fusion", "networking-technology", "thermal-imaging" ], "domainSpecificKnowledge" : [ "Infrared imaging solutions", "AI-powered operating system", "Autonomy", "AI", "Computer vision", "Sensor fusion", "Networking technology", "Thermal imaging" ], "qualificationsBasic" : "Operate vacuum systems, Maintain vacuum systems, Execute cryogenic systems, Maintain cryogenic systems", "workSiteFlexibility" : "Onsite", "rawDescription" : "Anduril Industries is a defense technology company with a mission to transform U. S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. ABOUT THE TEAM: Anduril AIRS provides high-performance cooled infrared imaging solutions, encompassing IDCAs, modules, and cameras. We achieve this through state-of-the-art technologies, advanced designs, and vertically integrated manufacturing processes. Our core strength lies in delivering customized, mission-critical imaging capabilities to system integrators and instrumentation manufacturers facing unique, challenging, and complex thermal imaging needs. WHAT YOU’LL DO: As a Process Technician, you will be responsible for the meticulous operation and maintenance of our specialized vacuum and cryogenic systems, ensuring the quality and efficiency of our IDCA production. Execute Vacuum and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Benefits At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits. Protecting Yourself from Recruitment Scams Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information. To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind: No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates. Please always verify communications: Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address. Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com. Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links. What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com. Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts. Data Privacy To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/. By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.", "summaryDescription" : "Process Technician at Anduril Industries. Operate specialized vacuum systems. Maintain specialized vacuum systems", "postedDate" : "2026-06-15T23:18:11.894", "createdAt" : "2026-06-15T23:18:11.894", "lastUpdated" : "2026-06-16T07:56:59.989", "ingestTimestamp" : "2026-06-15T23:18:11.894", "mongoId" : "6a305739f292fd229cf35d48", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 75000, "salaryAnnualMax" : 105000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Infrared imaging solutions", "AI-powered operating system", "Autonomy", "AI", "Computer vision", "Sensor fusion", "Networking technology", "Thermal imaging" ], "skillCount" : 8, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 754.2401, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Defense Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7ae874d8ee00a09475ac", "title" : "Manufacturing Process Engineer", "company" : "Gotion, Inc.", "industry" : "Manufacturing", "salary" : { "min" : 80000.0, "max" : 120000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Manteno, Illinois, United States", "locations" : [ "Manteno", "Illinois", "United States" ], "timestamp" : "2026-06-15T07:47:14.018", "fingerprint" : "0a6620de20bd800a0d94020eac44574d1ca2c672bd86acd0abc9448f4c1764d8", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/gotion/jobs/6894478002", "externalId" : "6894478002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Manteno", "state" : "Illinois", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.2501677,-87.8326423" } ], "locationText" : "Manteno, Illinois, United States", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceMaxYears" : 10, "hardSkillsList" : [ "Process qualification", "Problem-solving" ], "hardSkills" : [ { "name" : "Process qualification", "level" : "intermediate" }, { "name" : "Problem-solving", "level" : "intermediate" } ], "majorSkills" : "Manufacturing Engineering, Process Engineering", "majorSkillsList" : [ "Manufacturing Engineering", "Process Engineering" ], "coreResponsibilities" : "Ensure stable manufacturing processes, Hit target yield, Hit target capabilities, Hit target throughput, Hit target OEE, Collaborate on control plans, Collaborate on in-process checks, Support initial process qualification, Drive continuous improvement, Facilitate problem-solving, Develop process documents, Maintain process documents, Conduct training for employees", "teamCollaboration" : "Collaborate with Quality", "domainKnowledge" : "Pack/Module assembly; Lithium batteries", "domainList" : [ "pack-module-assembly", "lithium-batteries" ], "domainSpecificKnowledge" : [ "Pack/Module assembly", "Lithium batteries" ], "documentationSkills" : "Process documents", "innovationCreativity" : "Innovate in next generation technologies", "problemSolvingSkills" : "Problem-solving", "outcomesObjectives" : "Hit target yield; Hit target capabilities; Hit target throughput; Hit target OEE", "qualificationsBasic" : "2-10 years experience, BS/MS/PhD in Engineering", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Gotion Inc. is based in Silicon Valley, CA, currently building a Manufacturing facility in Manteno, IL and has R&D centers in Ohio, China, Japan and Europe. We innovate in the next generation electric vehicle and energy storage technologies (lithium batteries and related systems) with the aim to accelerate electrified transportation and achieve sustainable development. Gotion is powered by a leading power battery technology company that provides solutions for vehicles including the world's first mass commercial e-bus route. Gotion is a career destination - we are not simply attempting to just fill another job, but to pursue a dream of global green energy together! We offer outstanding opportunities to individuals seeking an exciting and challenging working environment. Everyone is highly valued and plays a vital role in the growth of our organization. Essential Duties and Responsibilities: Ensure stable manufacturing processes in Pack/Module pilot production line, hitting target yield, capabilities, throughput, and OEE. Collaborate with Quality and other teams on control plans and in-process quality checks. Support initial process qualification, drive continuous improvement, and facilitate problem-solving using quality tools. Develop and maintain process documents, conduct training for production employees. Required Qualifications: 2-10 years of experience in Manufacturing Engineering, preferably in Pack/Module assembly processes. BS/MS/PhD in Mechanical/Industrial/Chemical/Materials Engineering. Base pay is one part of our total compensation package at Gotion, and is determined within a range. This provides you with the opportunity to progress as you grow and advance your career at Gotion. The base pay range for this role is shown below, and will depend on your skills, qualifications, experiences, and location. Expected Pay Range $80,000—$120,000 USD Gotion Inc. is proud to be an equal opportunity employer. We are dedicated to fostering a diverse workforce that reflects the communities we serve, cultivating a culture of inclusion and belonging, and ensuring equal employment opportunities for all. We provide equal opportunity to all individuals regardless of race, creed, color, religion, gender, sexual orientation, gender identity or expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related conditions (including breastfeeding), parental status, criminal histories consistent with legal requirements, or any other characteristic protected by law. At Gotion Inc., we strive to create an environment where everyone feels valued, respected, and empowered to thrive.", "summaryDescription" : "Manufacturing Process Engineer at Gotion, Inc.. Skills: Manufacturing Engineering, Process Engineering. Ensure stable manufacturing processes. Hit target yield", "postedDate" : "2026-06-13T21:09:55.778", "createdAt" : "2026-06-13T21:09:55.778", "lastUpdated" : "2026-06-15T07:47:14.018", "ingestTimestamp" : "2026-06-13T21:09:55.778", "mongoId" : "6a2c7ae874d8ee00a09475ac", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 80000, "salaryAnnualMax" : 120000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Process qualification", "Problem-solving", "Manufacturing Engineering", "Process Engineering", "Pack/Module assembly", "Lithium batteries" ], "skillCount" : 6, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 743.85394, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cecd374d8ee00a0a7c0a2", "title" : "Manufacturing Data Entry", "company" : "InsulTech", "industry" : "Manufacturing", "salary" : { "min" : 38000.0, "max" : 52000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Entry-level Manufacturing Data Entry role in Santa Ana, CA, adjusted for industry and company size." }, "location" : "Santa Ana, CA", "locations" : [ "Santa Ana", "CA" ], "timestamp" : "2026-06-16T02:46:28.317", "fingerprint" : "13652b084ab2c9b7275c4f6b21a156fb2dbf494669b2f552e9dcdb0fdaabdfa7", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://insultech.breezy.hr/p/60bca12ff8ae-manufacturing-data-entry", "externalId" : "60bca12ff8ae", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Santa Ana", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.7494951,-117.8732210" } ], "locationText" : "Santa Ana, California, United States", "employmentType" : "FULL_TIME", "coreResponsibilities" : "Accurate entry of data, Perform directed tasks for planning team", "outcomesObjectives" : "Ensure production schedules are met", "qualificationsBasic" : "Energetic, Analytical, Detail-oriented", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Job Responsibilities We are looking for an energetic, analytical, and detail-oriented individual to join our Operations team. This is a key role focused on accurate entry of data and performing directed tasks for the planning team. This team ensures production schedules are met and that any obsta", "summaryDescription" : "Manufacturing Data Entry at InsulTech. Accurate entry of data. Perform directed tasks for planning team", "createdAt" : "2026-06-14T21:05:49.856", "lastUpdated" : "2026-06-16T02:46:28.317", "ingestTimestamp" : "2026-06-14T21:05:49.856", "mongoId" : "6a2cecd374d8ee00a0a7c0a2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 38000, "salaryAnnualMax" : 52000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.6666667, "_score" : 738.48535, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "69ce5e1f9bc74574cb6752f6", "title" : "Data Science Intern", "company" : "Amentum", "industry" : "Government", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on the market baseline for Data Science Intern roles in Houston, adjusted for entry-level seniority and the government industry." }, "location" : "United States-Texas-Houston", "locations" : [ "United States-Texas-Houston" ], "timestamp" : "2026-06-15T10:44:37.676", "fingerprint" : "c94ddf8dbce3e6c06a74112274e62592c174acfb128760b57ffff399e574b2df", "source" : "taleo", "language" : "en", "applyUrl" : "https://jacobs.taleo.net/careersection/ex/jobdetail.ftl?job=323957", "externalId" : "323957", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Houston", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "29.7589382,-95.3676974" } ], "locationText" : "Houston, Texas, United States", "employmentType" : "INTERNSHIP", "minimumEducation" : "Bachelor's", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Python, R, Scala, Spark, SQL, Machine learning, Artificial intelligence, Autonomy research, Data science", "professionalSkills" : [ "Risk analysis", "Planning" ], "hardSkillsList" : [ "Coding", "Statistical analysis" ], "hardSkills" : [ { "name" : "Coding", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" } ], "majorSkills" : "Data science, Machine learning, Artificial intelligence", "majorSkillsList" : [ "Data science", "Machine learning", "Artificial intelligence" ], "coreResponsibilities" : "Develop models to calculate risk analysis, Support work that applies risk-bounded planning, Develop code that supports concept development, Utilize machine learning skills, Utilize artificial intelligence skills, Utilize autonomy research skills, Utilize coding skills, Utilize data science skills", "teamCollaboration" : "Computer scientists; Engineers", "domainKnowledge" : "Human space exploration; Planetary exploration; Robotic exploration; Moon exploration; Mars exploration", "domainList" : [ "human-space-exploration", "planetary-exploration", "robotic-exploration", "moon-exploration", "mars-exploration" ], "domainSpecificKnowledge" : [ "Human space exploration", "Planetary exploration", "Robotic exploration", "Moon exploration", "Mars exploration" ], "innovationCreativity" : "Creative ideas", "specialRequirements" : "On-site work, Complete background investigation, Physical lifting", "qualificationsBasic" : "BS degree, Proof of U.S. Citizenship or US Permanent Residency", "qualificationsPreferred" : "Graduate student (MS or PhD), STEM field, Computer science, AI, software engineering, mechanical engineering, or aerospace engineering", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you passionate about human space exploration, understanding the origins of the universe, and working with a passionate and diverse team to make a difference? If you are, we need you! We need your talent, teamwork, and energy to help us achieve great things that inspire people all over the globe. We need you to bring creative ideas and diverse backgrounds to help us envision, shape, and deliver systems that will enable the exploration of space while benefiting people here on Earth. We are excited about what we do, and we need you on our team as we take on exciting challenges for NASA’s pursuits in deep space exploration. As NASA’s largest engineering solutions provider working together with NASA at centers across the United States. Amentum seeks to fill a Data Science Intern position within the JETS II Science and Exploration Department with University of Nevada Las Vegas, a subcontractor company. This candidate must reside or be willing to relocate to Houston, TX for on-site work requirements at NASA Johnson Space Center in Houston, TX. The approximate dates for this internship are May 16 – August 14, 2026. This is a temporary role not to exceed 14 weeks. The Data Science Intern will: Work with computer scientists and engineers to develop models to calculate risk analysis Support work that applies risk-bounded planning for human planetary exploration Develop code that supports concept development for robotic and human exploration on the Moon or Mars Utilize machine learning, artificial intelligence, autonomy research, coding, and data science skills Requisition Qualifications: This position has been posted at multiple levels. Depending on the candidate's experience, requirements, and business needs, we reserve the right to consider candidates at any level for which this position has been advertised. Intern pursuing BS degree Requisition Preferences: Graduate student (MS or PhD) in a STEM field Graduate student (MS or PhD) in computer science, AI, software engineering, mechanical engineering, or aerospace engineering . Why Join Our Team? In addition to exciting career opportunities, we also have: Excellent personal and professional career growth 9/80 work schedule (every other Friday off), when applicable Onsite cafeteria (breakfast & lunch) Much, much more! For more information on our partnership with NASA at Johnson Space Center (JSC), please visit www.wehavespaceforyou.com Proof of U.S. Citizenship or US Permanent Residency may be a requirement for this position. Must be able to complete a U.S. government background investigation. Management has the prerogative to select at any level for which the position is advertised. Essential Functions Work Environment Generally, an office environment, but can involve inside or outside work depending on task. Physical Requirements Work may involve sitting or standing for extended periods (90% of time). May require lifting and carrying up to 25 lbs. (5% of time). Equipment and Machines Standard office equipment (PC, telephone, printer, etc.). Attendance Regular attendance in accordance with established work schedule is critical. Ability to work outside normal schedule and adjust schedule to meet peak periods and surge requirements. Other Essential Functions Professional behavior that enhances productivity and promotes teamwork and cooperation. Grooming and dress must be appropriate for the position and must not impose a safety risk/hazard to the employee or others. #JETS #JETSII United States-Texas-Houston-20331-ESCG", "summaryDescription" : "Data Science Intern at Amentum. Skills: Data science, Machine learning, Artificial intelligence. Develop models to calculate risk analysis. Support work that applies risk-bounded planning", "createdAt" : "2026-06-14T07:43:41.868", "lastUpdated" : "2026-06-15T10:44:37.676", "ingestTimestamp" : "2026-06-14T07:43:41.868", "mongoId" : "69ce5e1f9bc74574cb6752f6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 45000, "salaryAnnualMax" : 65000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Coding", "Statistical analysis", "Data science", "Machine learning", "Artificial intelligence", "Risk analysis", "Planning", "Human space exploration", "Planetary exploration", "Robotic exploration", "Moon exploration", "Mars exploration" ], "skillCount" : 12, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 734.5207, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.98 }, { "id" : "69d01bfd2beec4dd3db6015c", "title" : "Business Process Management Intern", "company" : "Mercedes-Benz Cars Middle East FZE", "industry" : "Logistics", "salary" : { "min" : 30000.0, "max" : 60000.0, "currency" : "AED", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level internship in Dubai, UAE, adjusted for the logistics industry." }, "location" : "United Arab Emirates-Dubai-Dubai", "locations" : [ "United Arab Emirates-Dubai-Dubai", "P.O.Box 17880, Jebel Ali, N201, P.O. Box 17880, Jebel Ali, Dubai" ], "timestamp" : "2026-06-16T00:29:09.290", "fingerprint" : "6e8080fd6cfc4bc3e673eb2466b97726a7cecb4cefbc56785431f1c23a628037", "source" : "taleo", "language" : "en", "applyUrl" : "https://daimler.taleo.net/careersection/ex/jobdetail.ftl?job=891852", "externalId" : "891852", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Dubai", "country" : "United Arab Emirates", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "25.0742823,55.1885387" } ], "locationText" : "Dubai, United Arab Emirates", "employmentType" : "INTERNSHIP", "minimumEducation" : "Post-secondary diploma/degree", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Power BI, Power query, MS Office, MS Excel, MS Powerpoint", "professionalSkills" : [ "Project management", "Data analytics", "Reporting" ], "hardSkillsList" : [ "Data analysis", "Reporting" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Reporting", "level" : "intermediate" } ], "majorSkills" : "Business Process Management, Data Analytics, Reporting", "majorSkillsList" : [ "Business Process Management", "Data Analytics", "Reporting" ], "coreResponsibilities" : "Perform daily tasks for department, Execute daily reporting in Power BI, Conduct daily WIMS file transfer checks, Process adhoc return shipments, Assist BPM team on creating adhoc reports, Assist BPM team on creating presentations, Attend to special requests on reports, Attend to analyses of key figures, Assist BPM team in administration processes, Assist BPM team in documentation processes, Ensure smooth order management, Ensure smooth cancellations, Coordinate as per project requirements, Process order cancellations, Handle related queries, Manage order management, Manage cancellations", "teamCollaboration" : "Cross-functional teams; Project teams; General Distributors Coordination; Global Logistics Center; Internal RLCME departments; Warehouse Coordination", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Supply chain; Logistics IT systems; Order management; Order cancellations", "domainList" : [ "supply-chain", "logistics-it-systems", "order-management", "order-cancellations" ], "domainSpecificKnowledge" : [ "Supply chain", "Logistics IT systems", "Order management", "Order cancellations" ], "toolProficiency" : [ "Power BI", "MS Office", "MS Excel", "MS Powerpoint" ], "communicationSkills" : "Oral communication; Written communication", "documentationSkills" : "Documentation processes", "continuousLearning" : "Understand logistics IT systems and processes", "problemSolvingSkills" : "Analytical skills", "qualificationsBasic" : "Advanced skills in Data analytics and reporting, Advanced skills in MS Office, Excellent oral and written communication in English, Ability to understand IT system landscapes and associated functionalities quickly, Analytical skills to solve problems", "qualificationsPreferred" : "Good supply chain knowledge, Experience working with Supply Chain IT systems or reporting tools, Experience in data analysis is a plus", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Your Purpose: You will be expected to support Business Process Management team with daily tasks and data analytics. You will be working in an international environment with close contacts with the Mercedes-Benz AG Logistics headquarters. A day in the RLC work environment, you will be assisting your manager and team members with Performing the assigned daily tasks, providing Project Support and adhoc data analyses and creating reports and management presentations. You will also have the opportunity to understand various logistics IT systems and processes. Some days you’ll be supporting the rest of the team with meeting deadlines & other adhoc tasks. Your Responsibilities: Perform the required daily tasks for department Execute daily reporting in Power BI Conducting the daily WIMS file transfer checks Adhoc return shipment processing Assist BPM team on creating adhoc reports and presentations Attend to special requests on reports and analyses of key figures Assist BPM team in specific administration/documentation processes Communicative relationship: General Distributors Coordination to ensure smooth order management & cancellations Various Project team C oordination as per project requirements Global Logistics Center, Germersheim Order Cancellations and related queries Internal RLCME departments In case of order cancellations & other communicative processes Warehouse Coordination for order management Your Profile: Attributes: Passion Respect Integrity Discipline Strong analytical skills Excellent organizational and project management skills Dedication Commitment Business Perspective Knowledge/Skill/Experience: Good supply chain knowledge, experience working with Supply Chain IT systems or reporting tools will be added advantage. Have advanced skills in Data analytics and reporting – Power BI, Power query etc Have advanced skills in MS Office, preferably in MS Excel & Powerpoint. Excellent oral and written communication in English Ability to understand IT system landscapes and associated functionalities quickly Able to use your analytical skills to solve problems, experience in data analysis is a plus Big picture thinker, go-getter, self-starter Honest, professional and a strong team player Qualification: Currently working towards or have recently completed a post-secondary diploma/degree in Business Administration, Supply Chain Management or equivalent Mercedes-Benz Cars Middle East FZE", "summaryDescription" : "Business Process Management Intern at Mercedes-Benz Cars Middle East FZE. Skills: Business Process Management, Data Analytics, Reporting. Perform daily tasks for department. Execute daily reporting in Power BI", "createdAt" : "2026-06-14T18:53:56.625", "lastUpdated" : "2026-06-16T00:29:09.290", "ingestTimestamp" : "2026-06-14T18:53:56.625", "mongoId" : "69d01bfd2beec4dd3db6015c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Reporting", "Business Process Management", "Data Analytics", "Project management", "Data analytics", "Supply chain", "Logistics IT systems", "Order management", "Order cancellations", "Power BI", "MS Office", "MS Excel", "MS Powerpoint" ], "skillCount" : 14, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 733.8231, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Logistics", "llmIndustryConfidence" : 0.95 }, { "id" : "69dde4492beec4dd3d9a32cc", "title" : "Intern Graduate Support Technician", "company" : "TxDOT Public Transportation Division", "industry" : "Government", "salary" : { "min" : 35000.0, "max" : 45000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level intern graduate support technician in Austin, TX, adjusted for government industry and internship employment type." }, "location" : "UST-Texas-Austin-Stassney Hq - Main", "locations" : [ "UST-Texas-Austin-Stassney Hq - Main", "Hourly", "Nonexempt,
Stassney Hq - Main (SHQMAIN)
6230 East Stassney Lane
Austin, 78744

, Stassney Hq - Main" ], "timestamp" : "2026-06-16T05:54:19.584", "fingerprint" : "d1ae77c9bd46b8a1ba31907b75ec19aa352b9bf9f638b75c33aa9de7597e4d9f", "source" : "taleo", "language" : "en", "applyUrl" : "https://fa009.taleo.net/careersection/ex/jobdetail.ftl?job=43820", "externalId" : "43820", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Austin", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.2711286,-97.7436995" } ], "locationText" : "Austin, Texas, United States", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "professionalSkills" : [ "Active transportation planning", "Project development" ], "hardSkillsList" : [ "GIS analysis", "Data compilation", "Data analysis" ], "hardSkills" : [ { "name" : "GIS analysis", "level" : "intermediate" }, { "name" : "Data compilation", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" } ], "majorSkills" : "Active transportation, GIS analysis", "majorSkillsList" : [ "Active transportation", "GIS analysis" ], "coreResponsibilities" : "Support active transportation plan implementation, Compile bicycle and pedestrian data, Analyze bicycle and pedestrian data, Develop GIS maps", "teamCollaboration" : "Work with small team", "domainKnowledge" : "Active transportation; Transportation funding", "domainList" : [ "active-transportation", "transportation-funding" ], "domainSpecificKnowledge" : [ "Active transportation", "Transportation funding" ], "toolProficiency" : [ "GIS" ], "qualificationsBasic" : "Graduate-level intern", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "TxDOT Public Transportation Division is looking for a graduate-level intern to support statewide - bicycle and pedestrian initiatives. The intern would assist TxDOT in two primary areas: 1) activities to support implementation of statewide active transportation plan and 2) GIS analysis, including compiling and analyzing bicycle and pedestrian data, and developing GIS maps. In this role, the intern would be exposed to current active transportation planning efforts, transportation funding, and project development processes, working closely with a small, dynamic team. The position would be part-time year-round beginning in summer or fall at the Department’s Division Headquarters in South Austin. 15.54 22.76", "summaryDescription" : "Intern Graduate Support Technician at TxDOT Public Transportation Division. Skills: Active transportation, GIS analysis. Support active transportation plan implementation. Compile bicycle and pedestrian data", "createdAt" : "2026-06-14T19:54:52.787", "lastUpdated" : "2026-06-16T05:54:19.584", "ingestTimestamp" : "2026-06-14T19:54:52.787", "mongoId" : "69dde4492beec4dd3d9a32cc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 35000, "salaryAnnualMax" : 45000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "GIS analysis", "Data compilation", "Data analysis", "Active transportation", "Active transportation planning", "Project development", "Transportation funding", "GIS" ], "skillCount" : 8, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 733.4207, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.9 }, { "id" : "6a2a688474d8ee00a06346c2", "title" : "Intern - Manufacturing Engineer", "company" : "Micron Technology", "industry" : "Technology", "salary" : { "min" : 24000.0, "max" : 36000.0, "currency" : "MYR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Entry-level Intern - Manufacturing Engineer in Penang, Malaysia, adjusted for industry and company size." }, "location" : "Penang, Malaysia - Grande", "locations" : [ "Penang, Malaysia - Grande" ], "timestamp" : "2026-06-12T15:43:50.776", "fingerprint" : "bc31ae26e9b31fad59a39588ae15966cc7229be36edf62d307a1f93b8a1b30c6", "source" : "workday", "language" : "en", "applyUrl" : "https://micron.wd1.myworkdayjobs.com/External/job/Penang-Malaysia---Grande/Intern---Manufacturing-Engineer_JR104001", "externalId" : "JR104001", "industryFunction" : { }, "locationPoint" : "5.99516,100.47885", "structuredLocations" : [ { "city" : "Penang", "country" : "Malaysia", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "5.4065013,100.2559077" } ], "locationText" : "Penang, Malaysia", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor Degree", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Data Analysis, Excel, SAP, Statistics", "professionalSkills" : [ "Process improvement", "Lean", "Waste reduction", "Quality awareness", "Attention to detail", "Safety discipline", "Data analysis", "Reporting", "Teamwork", "Communication" ], "hardSkillsList" : [ "Root cause analysis", "Process improvement", "Data analysis", "Reporting" ], "hardSkills" : [ { "name" : "Root cause analysis", "level" : "intermediate" }, { "name" : "Process improvement", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Reporting", "level" : "intermediate" } ], "majorSkills" : "Cycle Time Tracking, Process Improvement, Data Analysis", "majorSkillsList" : [ "Cycle Time Tracking", "Process Improvement", "Data Analysis" ], "coreResponsibilities" : "Define CT tracking mechanism, Compare ideal vs actual CT, Enable fact-based commitment reliability, Enable proactive CTO control, Measure CT at key control points, Focus on visibility, Focus on alignment, Focus on decision-making", "teamCollaboration" : "Manufacturing; Quality; Planning; Test Engineering; TSP; Process Engineering; Equipment Engineering", "projectManagementSkills" : [ "Lean", "5S", "Process improvement" ], "domainKnowledge" : "Manufacturing Processes; Lean Manufacturing; Six Sigma; Quality Control; SPC; CAD; Engineering Drawing; Industry 4.0", "domainList" : [ "manufacturing-processes", "lean-manufacturing", "six-sigma", "quality-control", "spc", "cad", "engineering-drawing", "industry-4-0" ], "domainSpecificKnowledge" : [ "Manufacturing Processes", "Lean Manufacturing", "Six Sigma", "Quality Control", "SPC", "CAD", "Engineering Drawing", "Industry 4.0" ], "toolProficiency" : [ "Excel", "SAP" ], "communicationSkills" : "Present findings to management", "documentationSkills" : "Create or improve SOP; Improve work instruction", "continuousLearning" : "Lead process improvement project; Reduce cycle time; Reduce scrap; Reduce downtime; Develop RCA; Create SOP; Improve work instruction; Build dashboard/report; Support cross-functional project; Present findings to management; Apply automation / digital tools", "innovationCreativity" : "Develop data-driven solution; Build dashboard/report; Apply automation / digital tools", "problemSolvingSkills" : "Root cause analysis; Problem-solving", "outcomesObjectives" : "Establish single CT definition; Establish end-to-end tracking; Improve planning confidence; Predictable commitments to TSP", "qualificationsBasic" : "Bachelor Degree in Manufacturing Processes, Bachelor Degree in Manufacturing, Bachelor Degree in Lean Manufacturing, Bachelor Degree in Six Sigma, Bachelor Degree in Quality Control & SPC, Bachelor Degree in CAD / Engineering Drawing, Bachelor Degree in Data Analysis, Technical basics (machines, processes, tools), Problem-solving & root cause analysis, Process improvement (Lean, waste reduction), Quality awareness & attention to detail, Safety discipline (critical in manufacturing), Data analysis & reporting, Teamwork & communication", "qualificationsPreferred" : "Lean Manufacturing / Six Sigma (if possible)", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "**Our vision is to transform how the world uses information to enrich life for _all_. ** Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. **Project Title:** CTO End‑to‑End Cycle Time (CT) Tracking (Reservation → Pack to FG) **Description:** CTO Cycle Time is currently fragmented across systems, steps, and teams, resulting in: * Limited visibility to _where CT is lost_ * Misalignment between Manufacturing and Planning * Reactive output commitments to TSP instead of predictable delivery This project establishes a single, end‑to‑end CT definition and tracking mechanism to compare ideal vs actual CT, enabling fact‑based commitment reliability and proactive CTO control. ## **Scope:** * Covers CTO flow from Reservation Creation → CTO Processing → Pack to FG * Learn to measures CT at key control points, not every micro‑step * Focuses on visibility, alignment, and decision‑making (not system redesign) **Supporting Team:** * Manufacturing, * Quality, * Planning, * Test Engineering, * TSP (Tactical Supply Planning), * Process Engineering, * Equipment Engineering ## **Deliverables:** * Single Source of Truth CT View à End‑to‑end ideal vs actual CTO CT, used by Manufacturing & Planning * CT Loss Pareto & Insights à Clear visibility to where and why CTO time is lost * CT Governance Model à Ownership, review rhythm, and escalation when CT deviates * Improved Planning Confidence à Predictable commitments to TSP based on real CT capability **Stretch Goal:** * Learn to lead a small process improvement project (Lean/5S) with measurable impact * Learn to reduce cycle time / scrap / downtime with data-driven solution * Learn to develop & present RCA (Root Cause Analysis) to supervisors * Learn to create or improve SOP / work instruction for a real process * Learn to build dashboard/report (Excel) for production metrics * Learn to support cross-functional project (Quality / Engineering / Planning) * Learn to present findings to management (high visibility) * Learn and apply automation / digital tools (basic Industry 4.0) **Requirements:** * Students that are taking Bachelor Degree in Manufacturing Processes / Manufacturing, Lean Manufacturing / Six Sigma (if possible), Quality Control & SPC, CAD / Engineering Drawing, Data Analysis (Excel, SAP, basic statistics), and any related courses * Students that have Technical basics (machines, processes, tools), Problem-solving & root cause analysis , Process improvement (Lean, waste reduction), Quality awareness & attention to detail, Safety discipline (critical in manufacturing), Data analysis & reporting, Teamwork & communication **About Micron Technology, Inc.** We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life _for all_. With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience. To learn more, please visit micron.com/careers All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. To request assistance with the application process and/or for reasonable accommodations, please contact [hrsupport_my@micron.com](mailto:hrsupport_my@micron.com) Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron. AI alert**:** Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.", "summaryDescription" : "Intern - Manufacturing Engineer at Micron Technology. Skills: Cycle Time Tracking, Process Improvement, Data Analysis. Define CT tracking mechanism. Compare ideal vs actual CT", "postedDate" : "2026-06-11T15:31:52.833", "createdAt" : "2026-06-11T15:31:52.238", "lastUpdated" : "2026-06-12T15:43:50.776", "ingestTimestamp" : "2026-06-11T15:31:52.238", "mongoId" : "6a2a688474d8ee00a06346c2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://micron.wd1.myworkdayjobs.com/External/job/Penang-Malaysia---Grande/Intern---Manufacturing-Engineer_JR104001", "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Root cause analysis", "Process improvement", "Data analysis", "Reporting", "Cycle Time Tracking", "Process Improvement", "Data Analysis", "Lean", "Waste reduction", "Quality awareness", "Attention to detail", "Safety discipline", "Teamwork", "Communication", "5S", "Manufacturing Processes", "Lean Manufacturing", "Six Sigma", "Quality Control", "SPC", "CAD", "Engineering Drawing", "Industry 4.0", "Excel", "SAP" ], "skillCount" : 25, "jobCategory" : "engineering", "seniorityLevel" : "junior", "dataQualityScore" : 1.0, "_score" : 732.92584, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2d690c74d8ee00a0bd0205", "title" : "Manufacturing Technician", "company" : "Applied Materials", "salary" : { "min" : 48000.0, "max" : 65000.0, "currency" : "SGD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Manufacturing Technician in Singapore, adjusted for the technology industry and company size." }, "location" : "Singapore,SGP", "locations" : [ "Singapore,SGP" ], "timestamp" : "2026-06-16T00:09:57.892", "fingerprint" : "8599e1bf39242347a7c20e943b1aa26ad0b5d0f66f64f5e5efdc9f01f44521ff", "source" : "workday", "language" : "en", "applyUrl" : "https://amat.wd1.myworkdayjobs.com/External/job/SingaporeSGP/Manufacturing-Technician_R2613984", "externalId" : "R2613984", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Singapore", "country" : "Singapore", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "1.2899175,103.8519072" } ], "locationText" : "Singapore, Singapore", "employmentType" : "FULL_TIME", "minimumEducation" : "Associate's", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "**Who We Are** Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips – the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world – like AI and IoT. If you want to push the boundaries of materials science and engineering to create next generation technology, join us to deliver material innovation that changes the world. **What We Offer** Location: Singapore,SGP You’ll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible—while learning every day in a supportive leading global company. Visit our Careers website to learn more. At Applied Materials, we care about the health and wellbeing of our employees. We’re committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our [_benefits_](https://hrportal.ehr.com/applied/). As a Manufacturing Technician, you'll work hands-on in a cleanroom environment to build and test our multimillion-dollar display and wafer fabrication equipment that’s behind the technology we use every day. You'll be responsible for building, repairing, and testing various types of equipment--including electrical, electro-mechanical, vacuum, and pneumatic assemblies, subassemblies, and components. You will perform electro-mechanical assembly operations, troubleshooting, and repairs-- and perform audits to ensure necessary parts are available and inspected for defects. Using test fixtures, electronic measurement equipment, leak detectors, and vacuum pumps you'll test assemblies, complete documentation, perform repairs, or install software to continuously improve our processes. **Role Responsibilities: ** * Use work orders (including schematics, wiring diagrams, parts lists, and instructions) to build, repair and/or test equipment of various kinds (electrical, electro-mechanical, vacuum, pneumatic assemblies, subassemblies and components) * Work under moderate supervision to perform electro-mechanical assembly operations, troubleshooting and repairs * Receive parts and perform audits to ensure all necessary parts are available; inspect parts for defects; troubleshoot and improve processes * Use test fixtures, electronic measurement equipment, leak detectors and/or vacuum pumps to test assemblies, subassemblies and components * Complete required job documentation (data entry) about progress, work expense and labor details; perform computer programming, repair or software installs, if needed **Minimum Qualifications: ** * A high school diploma * 1–2 years of semiconductor or display experience, or comparable industry or military experience * Ability to follow standard operation procedures (written and verbal) * Knowledge of basic hand tools **Preferred Qualifications: ** * An Associate’s degree or technical education, certifications or trainings * A willingness to expand your skills within an analytical/scientific method or operational process * Solid analytical skills, and an ability to problem-solve using established operating procedures or scientific methods * ASSEET * BSEET (DeVry, TSTC) **Physical Requirements: ** This is a physically demanding position that often requires standing for extended periods of time, walking, working in tight spaces, bending, squatting, twisting, kneeling, reaching, climbing stairs and ladders, lifting, the ability to distinguish between colors, the ability to work in an environment with noise that may be difficult for some individuals with sensitivity to noise, the use of hand and power tools, and driving or operating heavy machinery including forklifts. Additionally, because this position may involve working in a clean room, the use of appropriate Personal Protective Equipment such as coveralls, hoods, booties, safety glasses, gloves, respirators, chemical aprons, and face shields may be required. **Additional Information** **Time Type:** Full time **Employee Type:** Assignee / Regular **Travel:** Not Specified **Relocation Eligible:** No Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.", "summaryDescription" : "Manufacturing Technician at Applied Materials", "postedDate" : "2026-06-13T18:52:27.926", "createdAt" : "2026-06-14T18:52:27.912", "lastUpdated" : "2026-06-16T00:09:57.892", "ingestTimestamp" : "2026-06-14T18:52:27.912", "mongoId" : "6a2d690c74d8ee00a0bd0205", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://amat.wd1.myworkdayjobs.com/External/job/SingaporeSGP/Manufacturing-Technician_R2613984", "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "mid", "dataQualityScore" : 0.7777778, "_score" : 727.36194, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cbee974d8ee00a0a00083", "title" : "Senior Manufacturing Process Engineer", "company" : "Avidyne", "industry" : "Manufacturing", "salary" : { "min" : 115000.0, "max" : 155000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Manufacturing Process Engineer in Melbourne, United States, adjusted for industry and company size." }, "location" : "Melbourne, FL", "locations" : [ "Melbourne", "FL" ], "timestamp" : "2026-06-16T01:49:16.389", "fingerprint" : "83fda20e6206ada27f51aed2f22596b222427781dd0881a107671a389cdc5cc8", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://avidyne.breezy.hr/p/c9c322ce7133-senior-manufacturing-process-engineer", "externalId" : "c9c322ce7133", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Melbourne", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "28.0785034,-80.6077908" } ], "locationText" : "Melbourne, Florida, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "coreResponsibilities" : "Document processes, Qualify equipment, Implement continuous improvement, Own MES, Design for manufacturability, Plan factory layout, Automate systems", "qualificationsBasic" : "Process documentation experience, Equipment qualification experience, Continuous improvement experience, MES ownership experience, DFM experience, Factory layout experience, Systems automation experience", "workSiteFlexibility" : "Onsite", "rawDescription" : "Most process engineering roles give you a slice. This one gives you the whole thing. Process documentation, equipment qualification, continuous improvement, MES ownership, DFM, factory layout, systems automation. At larger companies, those are five or six different people", "summaryDescription" : "Senior Manufacturing Process Engineer at Avidyne. Document processes. Qualify equipment", "createdAt" : "2026-06-14T18:50:45.691", "lastUpdated" : "2026-06-16T01:49:16.389", "ingestTimestamp" : "2026-06-14T18:50:45.691", "mongoId" : "6a2cbee974d8ee00a0a00083", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 155000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "_score" : 726.6878, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cb6bd74d8ee00a09f2ecb", "title" : "Solar Data Intern", "company" : "Energy Solutions", "industry" : "Climate Tech", "salary" : { "min" : 36000.0, "max" : 52000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Based on entry-level internship compensation for the Climate Tech industry in the United States, adjusted for remote work." }, "location" : "Remote - US", "locations" : [ "Remote - US" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T01:56:29.248", "fingerprint" : "0f726c5c6f633065071ae694505befd53cae78bbc1e66c68da56f0cc72b802d6", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/energysolutionsinternships/jobs/5142309007", "externalId" : "5142309007", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Tableau, Power BI, Looker, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, AWS, GCP, Azure, SageMaker, Vertex AI, ML Studio, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow", "professionalSkills" : [ "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis" ], "hardSkillsList" : [ "Statistical methods", "Modelling skills" ], "hardSkills" : [ { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "Modelling skills", "level" : "intermediate" } ], "majorSkills" : "Data science, Data engineering, ML/AI, Business intelligence", "majorSkillsList" : [ "Data science", "Data engineering", "ML/AI", "Business intelligence" ], "coreResponsibilities" : "Develop and implement data pipelines, Build and maintain data models, Perform data analysis, Create reports and dashboards, Collaborate with stakeholders, Assist with machine learning model development, Contribute to data quality initiatives, Document data processes and findings", "teamCollaboration" : "Cross-functional teams; Data science teams; Engineering teams", "domainKnowledge" : "Solar energy data", "domainList" : [ "solar-energy-data" ], "domainSpecificKnowledge" : [ "Solar energy data" ], "toolProficiency" : [ "Dbt Cloud" ], "communicationSkills" : "Present findings", "documentationSkills" : "Document data processes", "continuousLearning" : "Professional development", "problemSolvingSkills" : "Analytical skills", "qualificationsBasic" : "Bachelor's degree in Statistics, Bachelor's degree in Computer Science, Bachelor's degree in Mathematics, SQL proficiency, 2+ years of experience", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification, Experience with scikit-learn, Experience with TensorFlow, Experience with PyTorch, Experience with XGBoost, Experience with LightGBM, Experience with Snowflake, Experience with BigQuery, Experience with Redshift, Experience with Databricks, Experience with dbt, Experience with Fivetran, Experience with Airflow", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Interested in joining a growing company where you will work with talented colleagues, enhance a supportive and energetic culture, and be part of the climate solution? At Energy Solutions, we focus on the big impacts. And we believe that market-based programs can be a powerful force to deliver large-scale energy, carbon, and water-use savings. Since 1995, we’ve harnessed that power to offer proven, performance-based solutions for our utility, government, and institutional customers. Are you data-driven, technically minded, and eager to improve one of the biggest affordable solar programs in the United States? Then join our team as a Solar Data Intern! Your efforts will directly contribute to the launch of a high-profile program with state-wide impacts. Energy Solutions has recently won work which requires mapping new program data into our current portal. Success means translating large datasets from one system to another—and maintaining data integrity. That’s where you come in! In this part-time (15-30 hours/week, ideally between Monday and Thursday) role, you’ll organize, clean, and validate essential datasets to ensure they map successfully from their former system into ours. In doing so, you’ll identify trends, investigate discrepancies, and propose deliverables by cross-collaborating with a variety of teams within Energy Solution’s largest program. Such teams could include Renewable Energy Credit (REC) Contracts, Application Processing, Consumer Protection, Strategy anything that you wrote—whether for a class, a job, or for personal reasons—and are proud of will probably suffice. Focus on a topic important to you. The topic does not have to be related to the Internship you are applying for, but if it is, all the better. Our Fall 2026 Internship opportunities close on June 26, 2026 at 5:00 PM PST! We will not accept late applications or make exceptions regarding the criteria. We reserve the right to close our applications before the deadline. Please reach out to internships@energy-solution.com with any questions. Applications sent in via email or past the deadline will not be accepted. If you are interested in a Summer position, check our website later this year. Our Summer 2026 program application cycle opened in October 2025. AI Use At Energy Solutions we believe in the importance of authentic interactions and equitable opportunities. We base our candidate selection on one’s own skills, knowledge, and experience. To ensure the integrity and fairness of our interview process, the use of artificial intelligence (AI) tools (including Generative AI) or other means to generate or assist with responses during interviews is strictly prohibited. This practice supports our commitment to create a transparent and equitable space where skills, knowledge and experience can truly shine. Background Check Information Information will be requested to perform the compulsory background check. A drug screen and authorization to work in the U. S. indefinitely are preconditions of employment. Energy Solutions is an equal opportunity employer. Reasonable Accommodations Energy Solutions is committed to providing access and reasonable accommodation for individuals with disabilities. If you require an accommodation in completing this application, interviewing, and/or completing any pre-employment testing, or otherwise participating in the employee selection process, please email accommodation@energy-solution.com. Privacy Notice for Job Applicants", "summaryDescription" : "Solar Data Intern at Energy Solutions. Skills: Data science, Data engineering, ML/AI, Business intelligence. Develop and implement data pipelines. Build and maintain data models", "postedDate" : "2026-06-14T20:12:27.997", "createdAt" : "2026-06-14T20:12:27.997", "lastUpdated" : "2026-06-16T01:56:29.248", "ingestTimestamp" : "2026-06-14T20:12:27.997", "mongoId" : "6a2cb6bd74d8ee00a09f2ecb", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 36000, "salaryAnnualMax" : 52000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Statistical methods", "Modelling skills", "Data science", "Data engineering", "ML/AI", "Business intelligence", "Machine learning", "Analytics engineering", "Quantitative analysis", "Solar energy data", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Dbt Cloud" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "_score" : 723.4927, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Climate Tech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2a688574d8ee00a0634728", "title" : "Engineer-Wet Process Equipment Development", "company" : "Micron Technology", "industry" : "Semiconductor Manufacturing", "salary" : { "min" : 115000.0, "max" : 165000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Engineer-Wet Process Equipment Development at a mid-seniority level in Boise, United States, adjusted for industry and company size." }, "location" : "Boise, ID - Main Site", "locations" : [ "Boise, ID - Main Site", "United States of America" ], "timestamp" : "2026-06-13T02:59:40.645", "fingerprint" : "6a6b1bc415297fd8faf21db4ee1bd0a40c9a43d0e066299afe230c9fc1da7ed5", "source" : "workday", "language" : "en", "applyUrl" : "https://micron.wd1.myworkdayjobs.com/External/job/Boise-ID---Main-Site/Engineer-Wet-Process-Equipment-Development_JR102434", "externalId" : "JR102434", "industryFunction" : { }, "locationPoint" : "43.6135,-116.20345", "structuredLocations" : [ { "city" : "Boise", "state" : "Idaho", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.6166163,-116.2008860" } ], "locationText" : "Boise, Idaho, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "DRAM", "professionalSkills" : [ "Process engineering", "Equipment development", "Data analysis" ], "hardSkillsList" : [ "Wet process equipment", "Semiconductor fabrication", "Spin clean systems", "Drying systems" ], "hardSkills" : [ { "name" : "Wet process equipment", "level" : "intermediate" }, { "name" : "Semiconductor fabrication", "level" : "intermediate" }, { "name" : "Spin clean systems", "level" : "intermediate" }, { "name" : "Drying systems", "level" : "intermediate" } ], "majorSkills" : "Wet process equipment, Semiconductor manufacturing, Equipment development", "majorSkillsList" : [ "Wet process equipment", "Semiconductor manufacturing", "Equipment development" ], "coreResponsibilities" : "Develop wet process equipment, Optimize wet process equipment, Sustain liquid-phase processing equipment, Solve hardware challenges, Drive tools to meet targets, Partner with vendors, Partner with internal teams, Close hardware gaps, Drive installation of new tools, Drive qualification of new tools, Drive upgrades of new tools, Apply data analysis, Monitor tool performance, Resolve tool issues, Support process transfer", "teamCollaboration" : "Multi-functional work; Work with vendors; Work with process teams; Work with manufacturing partners; Work with multi-functional teams", "domainKnowledge" : "Semiconductor manufacturing; DRAM process flows; Wet process", "domainList" : [ "semiconductor-manufacturing", "dram-process-flows", "wet-process" ], "domainSpecificKnowledge" : [ "Semiconductor manufacturing", "DRAM process flows", "Wet process" ], "innovationCreativity" : "Building advanced wet process equipment; Bringing new tools from concept to production", "problemSolvingSkills" : "Problem statements", "outcomesObjectives" : "Meet performance targets; Meet reliability targets", "qualificationsBasic" : "Bachelor's degree in mechanical, chemical engineering, or related field, 3+ years of experience in semiconductor equipment or process engineering, Knowledge of wet process equipment and semiconductor fabrication, Experience fixing spin clean and drying systems, Ability to analyze data and define problem statements", "qualificationsPreferred" : "Experience with metrology methods for monitoring wet process performance, Familiarity with tool installation and engineering build processes, Understanding of DRAM process flows and spin clean applications, Experience working with vendors and multi-functional teams, Knowledge of SPC, system monitoring, or data analytics tools", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "**Our vision is to transform how the world uses information to enrich life for _all_. ** Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. We are part of Micron’s Technology Development organization, focused on building and scaling advanced wet process equipment that enables next-generation DRAM. We work closely with vendors, process teams, and manufacturing partners to bring new tools from concept to production. This team combines hands-on engineering with real impact on performance, cost, and sustainability! This role focuses on developing, optimizing, and sustaining liquid-phase processing equipment for advanced semiconductor manufacturing. You will work across R&D and manufacturing, solve hardware challenges, and drive tools to meet performance and reliability targets. The position offers strong ownership, multi-functional work, and exposure to tool development at scale. **Responsibilities:** * Develop and optimize wet process equipment for advanced DRAM nodes * Partner with vendors and internal teams to close hardware gaps * Drive installation, qualification, and upgrades of new tools * Apply data analysis to monitor tool performance and resolve issues * Support process transfer from development to manufacturing **Minimum Qualifications:** * Bachelor’s degree in mechanical, chemical engineering, or related field * 3+ years of experience in semiconductor equipment or process engineering * Knowledge of wet process equipment and semiconductor fabrication * Experience fixing spin clean and drying systems * Ability to analyze data and define problem statements **Preferred Qualifications:** * Experience with metrology methods for monitoring wet process performance * Familiarity with tool installation and engineering build processes * Understanding of DRAM process flows and spin clean applications * Experience working with vendors and multi-functional teams * Knowledge of SPC, system monitoring, or data analytics tools As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on _[micron.com/careers/benefits](https://www.micron.com/careers/benefits)_. Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws. To learn about your _**[right to work click here.](http://www.justice.gov/crt/worker-information)**_ To learn more about Micron, please visit** _[ micron.com/careers](https://www.micron.com/careers)_** For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron’s People Organization at _[hrsupport_na @micron.com](mailto:hrsupport_na@micron.com)_ or 1-800-336-8918 (select option #3) Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron. AI alert**:** Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.", "summaryDescription" : "Engineer-Wet Process Equipment Development at Micron Technology. Skills: Wet process equipment, Semiconductor manufacturing, Equipment development. Develop wet process equipment. Optimize wet process equipment", "postedDate" : "2026-06-10T15:32:21.004", "createdAt" : "2026-06-11T15:32:20.881", "lastUpdated" : "2026-06-13T02:59:40.645", "ingestTimestamp" : "2026-06-11T15:32:20.881", "mongoId" : "6a2a688574d8ee00a0634728", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://micron.wd1.myworkdayjobs.com/External/job/Boise-ID---Main-Site/Engineer-Wet-Process-Equipment-Development_JR102434", "salaryAnnualMin" : 115000, "salaryAnnualMax" : 165000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Wet process equipment", "Semiconductor fabrication", "Spin clean systems", "Drying systems", "Semiconductor manufacturing", "Equipment development", "Process engineering", "Data analysis", "DRAM process flows", "Wet process" ], "skillCount" : 10, "jobCategory" : "engineering", "seniorityLevel" : "mid", "dataQualityScore" : 1.0, "_score" : 716.8751, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Semiconductor Manufacturing" }, { "id" : "6a2aaf6174d8ee00a06cc11f", "title" : "SCM Intern -- Data analysis-2", "company" : "Flex", "salary" : { "min" : 100000.0, "max" : 150000.0, "currency" : "CNY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level SCM Intern in Shanghai, China, adjusted for the manufacturing industry and company size." }, "location" : "China, Shanghai", "locations" : [ "China, Shanghai" ], "timestamp" : "2026-06-14T22:54:22.464", "fingerprint" : "74138c7bbfd53b63b204b1384b2c3d7862614946f8f1c91f1baad98761e85098", "source" : "workday", "language" : "en", "applyUrl" : "https://flextronics.wd1.myworkdayjobs.com/Careers/job/China-Shanghai/SCM-Intern----Data-analysis-2_WD222965", "externalId" : "WD222965", "structuredLocations" : [ { "city" : "Shanghai", "country" : "China", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "31.2312707,121.4700152" } ], "locationText" : "Shanghai, China", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor Degree", "hardSkillsList" : [ "Data analysis" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" } ], "majorSkills" : "Data analysis", "majorSkillsList" : [ "Data analysis" ], "coreResponsibilities" : "Download report from system, Make analysis according to requirement, Work with planning team, Secure related reports, Timely report result to manager, Other tasks assigned by manager", "communicationSkills" : "Good Communication skills", "problemSolvingSkills" : "Data analysis", "qualificationsBasic" : "Minimum Bachelor Degree, Good English skills, Good Communication skills", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Flex is the diversified manufacturing partner of choice that helps market-leading brands design, build and deliver innovative products that improve the world. A career at Flex offers the opportunity to make a difference and invest in your growth in a respectful, inclusive, and collaborative environment. If you are excited about a role but don't meet every bullet point, we encourage you to apply and join us to create the extraordinary. ## Job Summary To support our extraordinary teams who build great products and contribute to our growth, we’re looking to add a [**P****lanner****Intern**] located in **[Shanghai Jiading****上海嘉定****].** **What a typical day looks like****:** * Download report from system regularly and make analysis according to requirement in standard format. * Work with planning team to secure related reports are always in good trend. * Timely report result to Material and Planning manager. * Other tasks assigned by Material and Planning manager. **The experience we’re looking to add to our team****:** * Minimum Bachelor Degree * Good English skills in both written and spoken * Good Communication skills ## ## Job Category Global Procurement & Supply Chain Required Skills: Optional Skills: Flex is an Equal Opportunity Employer and employment selection decisions are based on merit, qualifications, and abilities. We do not discriminate based on: age, race, religion, color, sex, national origin, marital status, sexual orientation, gender identity, veteran status, disability, pregnancy status, or any other status protected by law. We're happy to provide reasonable accommodations to those with a disability for assistance in the application process. Please email [accessibility@flex.com](mailto:accessibility@flex.com) and we'll discuss your specific situation and next steps (NOTE: this email does not accept or consider resumes or applications. This is only for disability assistance. To be considered for a position at Flex, you must complete the application process first).", "summaryDescription" : "SCM Intern -- Data analysis-2 at Flex. Skills: Data analysis. Download report from system. Make analysis according to requirement", "postedDate" : "2026-06-12T03:10:25.904", "createdAt" : "2026-06-12T03:10:25.860", "lastUpdated" : "2026-06-14T22:54:22.464", "ingestTimestamp" : "2026-06-12T03:10:25.860", "mongoId" : "6a2aaf6174d8ee00a06cc11f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://flextronics.wd1.myworkdayjobs.com/Careers/job/China-Shanghai/SCM-Intern----Data-analysis-2_WD222965", "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Data analysis" ], "skillCount" : 1, "jobCategory" : "engineering", "seniorityLevel" : "junior", "dataQualityScore" : 0.8888889, "_score" : 715.87463, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2d632e74d8ee00a0baeba2", "title" : "Data Operations Analyst Intern", "company" : "Instawork", "industry" : "Technology", "salary" : { "min" : 18000.0, "max" : 28000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on the market baseline for an Entry-level Data Operations Analyst Intern in Bulgaria, adjusted for the technology industry and remote work." }, "location" : "Bengaluru, Karnataka, India", "locations" : [ "Bengaluru", "Karnataka", "India" ], "timestamp" : "2026-06-16T04:28:03.478", "fingerprint" : "42e73a87ecf812b0ba063c5531b07984fc8ecd3c82360680b31999d84efc059e", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/instawork/jobs/4689262006", "externalId" : "4689262006", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Excel, Google Sheets, Power Query, SQL", "professionalSkills" : [ "Route planning", "Territory coverage", "Visit scheduling", "Data cleaning", "Data validation", "Data organization", "Route optimization", "Spatial analysis" ], "hardSkillsList" : [ "VLOOKUP", "XLOOKUP", "INDEX-MATCH", "Pivot tables", "Conditional formatting", "Data validation", "Named ranges", "SUMIFS", "COUNTIFS", "IF logic", "Date logic", "Sorting", "Filtering", "Deduplication", "Address standardization", "Zone standardization" ], "hardSkills" : [ { "name" : "VLOOKUP", "level" : "intermediate" }, { "name" : "XLOOKUP", "level" : "intermediate" }, { "name" : "INDEX-MATCH", "level" : "intermediate" }, { "name" : "Pivot tables", "level" : "intermediate" }, { "name" : "Conditional formatting", "level" : "intermediate" }, { "name" : "Data validation", "level" : "intermediate" }, { "name" : "Named ranges", "level" : "intermediate" }, { "name" : "SUMIFS", "level" : "intermediate" }, { "name" : "COUNTIFS", "level" : "intermediate" }, { "name" : "IF logic", "level" : "intermediate" }, { "name" : "Date logic", "level" : "intermediate" }, { "name" : "Sorting", "level" : "intermediate" }, { "name" : "Filtering", "level" : "intermediate" }, { "name" : "Deduplication", "level" : "intermediate" }, { "name" : "Address standardization", "level" : "intermediate" }, { "name" : "Zone standardization", "level" : "intermediate" } ], "majorSkills" : "Excel, Data analysis, Route planning", "majorSkillsList" : [ "Excel", "Data analysis", "Route planning" ], "coreResponsibilities" : "Build Excel workbooks for route planning, Maintain Excel workbooks for territory coverage, Maintain Excel workbooks for visit schedules, Clean location data, Validate location data, Organize location data, Clean operational data, Validate operational data, Organize operational data, Create route maps, Create territory layouts, Support route optimization, Group stops by geography, Group stops by time windows, Group stops by FO capacity, Produce weekly planning sheets, Produce daily planning sheets, Track coverage gaps, Flag issues to FO lead, Maintain documentation of assumptions, Maintain documentation of data sources, Maintain documentation of version history, Incorporate feedback from FOs, Incorporate feedback from managers, Update planning files, Fix errors flagged by FOs, Refresh route maps, Refresh territory plans, Submit summary of changes, Submit open gaps", "teamCollaboration" : "Field Operations team; FOs and managers", "domainKnowledge" : "Market operations; Worker coverage; Visit schedules; Logistics; Field sales; Delivery routing; Operations planning; US/Canada metro markets; Multi-city territory design", "domainList" : [ "market-operations", "worker-coverage", "visit-schedules", "logistics", "field-sales", "delivery-routing", "operations-planning", "us-canada-metro-markets", "multi-city-territory-design" ], "domainSpecificKnowledge" : [ "Market operations", "Worker coverage", "Visit schedules", "Logistics", "Field sales", "Delivery routing", "Operations planning", "US/Canada metro markets", "Multi-city territory design" ], "toolProficiency" : [ "Microsoft Excel", "Google Maps", "Google My Maps", "QGIS" ], "communicationSkills" : "Explain route building; Explain territory building", "documentationSkills" : "Maintain documentation", "problemSolvingSkills" : "Route optimization; Troubleshooting coverage gaps", "outcomesObjectives" : "Plans must be accurate; Plans must be reproducible; Plans must be easy to follow", "qualificationsBasic" : "Microsoft Excel Intermediate-advanced, Data hygiene skills, Spatial / route thinking, Attention to detail, Clear communication, Reliability", "qualificationsPreferred" : "Google Sheets or Excel Power Query experience, Mapping tools familiarity, Basic SQL or comfort exporting from dashboards/CSVs, Prior work in logistics, field sales, delivery routing, or operations planning, Understanding of US/Canada metro markets or multi-city territory design", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Instawork is on a mission to create meaningful economic opportunities for skilled hourly professionals in communities around the globe. Our AI-powered labor marketplace helps local businesses scale, and enables global technology companies to push the frontiers of robotics and AI. Backed by world-class investors like Benchmark, Spark Capital, Craft Ventures, Greylock, Y Combinator, and others, we’re looking for exceptional talent to reimagine the way the world works. About the Role We are looking for detail-oriented Operations Data Analyst Interns to support Instawork's Field Operations (FO) team. You will work with operational data-markets, territories, business locations, worker coverage, and visit schedules-to build and maintain route maps and planning spreadsheets that help FOs run efficiently in the field. This is a fully remote internship with clear deliverables, performance incentives, and regular feedback. If you enjoy working with data in Excel, have strong attention to detail, and want hands-on exposure to operations at a fast-growing marketplace-this role is for you. Key Responsibilities Build and maintain Excel workbooks for FO route planning, territory coverage, and visit schedules. Clean, validate, and organize location and operational data (addresses, zones, markets, visit frequency, priorities). Create route maps and territory layouts using Excel (tables, pivots, conditional formatting) and/or mapping tools (e.g., Google Maps) as directed. Support route optimization by grouping stops by geography, time windows, and FO capacity. Produce weekly and daily planning sheets for FOs: who visits where, in what order, and with what targets. Track coverage gaps (uncovered businesses, overdue visits, imbalanced territories) and flag issues to the FO lead. Maintain documentation of assumptions, data sources, and version history for planning files. Incorporate feedback from FOs and managers to improve accuracy and usability of plans. Required Skills (Must-Have) Microsoft Excel: Intermediate-advanced: VLOOKUP/XLOOKUP, INDEX-MATCH, pivot tables, conditional formatting, data validation, named ranges, SUMIFS, COUNTIFS, IF, date logic. Data hygiene: Sorting/filtering large datasets, deduplication, standardizing addresses/zones, spotting inconsistencies. Spatial / route thinking: Grouping locations by proximity, zones, or drive time; basic understanding of territories and visit sequencing. Attention to detail: Accurate data entry, cross-checking outputs, catching errors before plans go to the field. Communication: Clear notes in spreadsheets; ability to explain how a route or territory was built. Reliability: Meet deadlines; follow templates and SOPs; respond to revision requests quickly. Nice-to-Have Experience with Google Sheets or Excel Power Query for imports and refreshes. Familiarity with mapping tools (Google My Maps, QGIS, or route APIs). Basic SQL or comfort exporting from dashboards/CSVs into Excel. Prior work in logistics, field sales, delivery routing, or operations planning. Understanding of US/Canada metro markets or multi-city territory design. Sample Deliverables Territory assignment sheet: businesses to FO to zone to visit cadence. Weekly route plan: ordered stop list per FO with estimated time/distance notes. Coverage dashboard: % of accounts visited, gaps by market, overdue visits. Master location file: validated addresses, geocodes (if available), market tags. Expectations Daily: Update planning files from latest operational data; fix errors flagged by FOs. Weekly: Refresh route maps and territory balances; submit summary of changes and open gaps. Quality bar: Plans must be accurate, reproducible, and easy for a non-analyst FO to follow. Our Values Empathy, Trust RetailTech Breakthrough named us Workforce Hiring Solution of the Year for 2025; and Inc. 5000 recognized us as one of the country's top 10% fastest-growing companies two years in a row. But what matters most is our impact. We're solving real problems for real people, and we’re doing it at scale. Join our team to help us build something that matters! We’re looking for superstars who want to help us shape the future of work. With hubs in San Francisco, Bangalore, and Chicago, city offices in New York, Phoenix, and Singapore, we're back to working together in-person five days a week because we believe the best ideas happen when great people collaborate face-to-face. We also value diverse perspectives and encourage applications from candidates of all backgrounds. Ready to make an impact? Learn more at www.instawork.com/about. Personnel Privacy Policy", "summaryDescription" : "Data Operations Analyst Intern at Instawork. Skills: Excel, Data analysis, Route planning. Build Excel workbooks for route planning. Maintain Excel workbooks for territory coverage", "postedDate" : "2026-06-14T19:01:49.796", "createdAt" : "2026-06-14T19:01:49.796", "lastUpdated" : "2026-06-16T04:28:03.478", "ingestTimestamp" : "2026-06-14T19:01:49.796", "mongoId" : "6a2d632e74d8ee00a0baeba2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "VLOOKUP", "XLOOKUP", "INDEX-MATCH", "Pivot tables", "Conditional formatting", "Data validation", "Named ranges", "SUMIFS", "COUNTIFS", "IF logic", "Date logic", "Sorting", "Filtering", "Deduplication", "Address standardization", "Zone standardization", "Excel", "Data analysis", "Route planning", "Territory coverage", "Visit scheduling", "Data cleaning", "Data organization", "Route optimization", "Spatial analysis", "Market operations", "Worker coverage", "Visit schedules", "Logistics", "Field sales", "Delivery routing", "Operations planning", "US/Canada metro markets", "Multi-city territory design", "Microsoft Excel", "Google Maps", "Google My Maps", "QGIS" ], "skillCount" : 38, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "_score" : 715.0856, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2a688474d8ee00a06346b6", "title" : "Intern - Manufacturing Dry Etch Technician", "company" : "Micron", "industry" : "Semiconductor Manufacturing", "salary" : { "min" : 28000.0, "max" : 38000.0, "currency" : "SGD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on the market baseline for an Intern - Manufacturing Dry Etch Technician in Singapore, with adjustments for entry-level seniority and the technology industry." }, "location" : "Fab 10N/X, Singapore", "locations" : [ "Fab 10N/X, Singapore" ], "timestamp" : "2026-06-12T20:37:29.005", "fingerprint" : "81f3367534ce4dc14a0abd72b626e851855ecd348c0fbc11c1604f444add7cd7", "source" : "workday", "language" : "en", "applyUrl" : "https://micron.wd1.myworkdayjobs.com/External/job/Fab-10NX-Singapore/Intern---Manufacturing-Dry-Etch_JR99978", "externalId" : "JR99978", "industryFunction" : { }, "locationPoint" : "20.16542,-88.46398", "structuredLocations" : [ { "country" : "Singapore", "continent" : "as", "workMode" : "onsite" } ], "locationText" : "Singapore", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Data analytics, Artificial intelligence", "professionalSkills" : [ "Equipment repair", "Component handling", "Process analysis", "Operational efficiency", "Lifecycle management", "Maintenance strategies" ], "hardSkillsList" : [ "Data analysis", "Data extraction", "Data preprocessing", "Data visualisation" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data extraction", "level" : "intermediate" }, { "name" : "Data preprocessing", "level" : "intermediate" }, { "name" : "Data visualisation", "level" : "intermediate" } ], "majorSkills" : "Data analytics, Artificial intelligence, Operational improvement", "majorSkillsList" : [ "Data analytics", "Artificial intelligence", "Operational improvement" ], "coreResponsibilities" : "Understand equipment hardware, Understand system architecture, Explore preventive maintenance, Study repair practices, Analyse operational data, Design analytical tools, Develop dashboards, Build end-to-end workflow, Extract data, Preprocess data, Analyse data, Visualise data", "teamCollaboration" : "Engineering professionals; Subject matter experts", "domainKnowledge" : "Semiconductor dry etch; Dielectric operations; VantexB workstations; VantexBX workstations; Equipment lifecycle management", "domainList" : [ "semiconductor-dry-etch", "dielectric-operations", "vantexb-workstations", "vantexbx-workstations", "equipment-lifecycle-management" ], "domainSpecificKnowledge" : [ "Semiconductor dry etch", "Dielectric operations", "VantexB workstations", "VantexBX workstations", "Equipment lifecycle management" ], "toolProficiency" : [ "Microsoft Office" ], "documentationSkills" : "Documentation outlining methodology; Analysis findings; Recommendations", "continuousLearning" : "Structured learning; System understanding; Data analysis; Solution development; Exposure to semiconductor manufacturing; Practical application of data analytics; Practical application of AI; Understanding of equipment lifecycle; Understanding of maintenance strategies; Developing end-to-end analytical solutions; Collaboration with engineering professionals; Collaboration with subject matter experts", "innovationCreativity" : "Innovation; Pursuit of innovation", "problemSolvingSkills" : "Problem-solving skills; Identify inefficiencies; Data-driven decision-making", "outcomesObjectives" : "Improve equipment-related processes; Develop scalable solution; Improve repair loop process; Enhance visibility; Enhance decision-making; Functional end-to-end analytical solution; Data models; Visualisation dashboards; Reporting tools; Improved efficiency; Improved transparency; Enhanced data-driven decision-making; Contribution to continuous improvement", "qualificationsBasic" : "Basic knowledge of data analytics, Familiarity with Microsoft Office", "qualificationsPreferred" : "Interest in engineering systems, Interest in data analysis", "remoteFriendly" : true, "workSiteFlexibility" : "Onsite", "rawDescription" : "**Our vision is to transform how the world uses information to enrich life for all.** Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. **Project Title** Design and Development of Operational Improvement Tools for VantexB and VantexBX Workstations **Project Description** This internship project focuses on the application of data analytics and artificial intelligence techniques to enhance operations within the Dry Etch Dielectric team in a semiconductor manufacturing environment. The project provides exposure to VantexB and VantexBX equipment platforms used in dielectric etching processes. The intern will explore data-driven approaches to analyse operational performance, identify inefficiencies, and develop practical improvement tools. The project emphasises structured learning through system understanding, data analysis, and solution development, culminating in an end-to-end workflow from data extraction to visualisation of insights. **Objectives** Apply data analytics and artificial intelligence techniques to improve equipment-related processes Develop a structured and scalable solution for improving the repair loop process for equipment components Enhance visibility and decision-making through data-driven insights **Opportunities for Full Time Employment** High-performing interns may be considered for full-time positions, subject to business needs and individual performance. **Project Scope** The student will: * Develop understanding of semiconductor dry etch equipment hardware and system architecture * Explore preventive maintenance concepts and methodologies within a manufacturing setting * Study current practices in equipment repair and component handling processes * Analyse operational data related to equipment performance and repair workflows * Design and develop analytical tools or dashboards to improve operational efficiency * Build an end-to-end workflow including data extraction, preprocessing, analysis, and visualisation **Learning Opportunities** * Exposure to semiconductor manufacturing processes, particularly dry etch dielectric operations * Practical application of data analytics and artificial intelligence in an industrial environment * Understanding of equipment lifecycle management and maintenance strategies * Experience in developing end-to-end analytical solutions * Collaboration with engineering professionals and subject matter experts * Deliverables * A functional end-to-end analytical solution addressing equipment repair or operational improvement needs * Data models, visualisation dashboards, or reporting tools to enhance process visibility * Documentation outlining methodology, analysis findings, and recommendations **Impact of the Project** * Improved efficiency and transparency in equipment repair and operational workflows * Enhanced data-driven decision-making within the Dry Etch Dielectric team * Contribution to continuous improvement initiatives in semiconductor manufacturing operations **Skillsets Required** * Strong problem-solving skills * Basic knowledge of data analytics concepts * Familiarity with Microsoft Office applications * Interest in engineering systems and data analysis **Courses of Interest** * Engineering disciplines (e.g., Electrical, Mechanical, Chemical, or Materials Engineering) * Data Analytics or related fields **Duration Period** Minimum 6 months **About Micron Technology, Inc.** We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life _for all_. With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience. To learn more, please visit micron.com/careers All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. To request assistance with the application process and/or for reasonable accommodations, please contact [hrsupport_sg@micron.com](mailto:hrsupport_jp@micron.com) Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron. AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.", "summaryDescription" : "Intern - Manufacturing Dry Etch Technician at Micron. Skills: Data analytics, Artificial intelligence, Operational improvement. Understand equipment hardware. Understand system architecture", "postedDate" : "2026-06-11T15:59:11.795", "createdAt" : "2026-06-11T15:59:11.629", "lastUpdated" : "2026-06-12T20:37:29.005", "ingestTimestamp" : "2026-06-11T15:59:11.629", "mongoId" : "6a2a688474d8ee00a06346b6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://micron.wd1.myworkdayjobs.com/External/job/Fab-10NX-Singapore/Intern---Manufacturing-Dry-Etch_JR99978", "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Data extraction", "Data preprocessing", "Data visualisation", "Data analytics", "Artificial intelligence", "Operational improvement", "Equipment repair", "Component handling", "Process analysis", "Operational efficiency", "Lifecycle management", "Maintenance strategies", "Semiconductor dry etch", "Dielectric operations", "VantexB workstations", "VantexBX workstations", "Equipment lifecycle management", "Microsoft Office" ], "skillCount" : 19, "jobCategory" : "engineering", "seniorityLevel" : "junior", "dataQualityScore" : 1.0, "_score" : 711.46735, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Semiconductor Manufacturing" }, { "id" : "6a2a688574d8ee00a0634706", "title" : "Intern - Manufacturing Technician (Dry Etch)", "company" : "Micron", "industry" : "Semiconductor Manufacturing", "salary" : { "min" : 24000.0, "max" : 36000.0, "currency" : "SGD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for entry-level manufacturing technician roles in Singapore, adjusted for the technology industry and company size." }, "location" : "Fab 10N/X, Singapore", "locations" : [ "Fab 10N/X, Singapore" ], "timestamp" : "2026-06-13T10:52:41.586", "fingerprint" : "ec17264cb43a9902b4272d16818a799b3cc665e0576040f18d3d7b1c8dabf507", "source" : "workday", "language" : "en", "applyUrl" : "https://micron.wd1.myworkdayjobs.com/External/job/Fab-10NX-Singapore/Intern---Manufacturing-Technician--Dry-Etch-_JR102746", "externalId" : "JR102746", "industryFunction" : { }, "locationPoint" : "20.16542,-88.46398", "structuredLocations" : [ { "country" : "Singapore", "continent" : "as", "workMode" : "onsite" } ], "locationText" : "Singapore", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Data analytics, Data visualization", "professionalSkills" : [ "Analytical thinking", "Problem-solving" ], "hardSkillsList" : [ "Data analysis", "Data visualization" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" } ], "majorSkills" : "Automation solutions, Data analytics, Deviation detection", "majorSkillsList" : [ "Automation solutions", "Data analytics", "Deviation detection" ], "coreResponsibilities" : "Develop automation solutions, Improve engineering workflow efficiency, Apply data analytics techniques, Monitor equipment parameters, Detect deviations, Build understanding of equipment behaviour, Analyze equipment parameters, Evaluate correlations across datasets, Study equipment matching, Study performance trends, Enhance process visibility, Enhance data-driven decision-making, Replace manual touches, Replace manual data pulling", "teamCollaboration" : "Engineering stakeholders; Equipment engineering team", "domainKnowledge" : "Wafer processing; Equipment parameters; Semiconductor manufacturing", "domainList" : [ "wafer-processing", "equipment-parameters", "semiconductor-manufacturing" ], "domainSpecificKnowledge" : [ "Wafer processing", "Equipment parameters", "Semiconductor manufacturing" ], "innovationCreativity" : "Innovation", "problemSolvingSkills" : "Problem-solving; Data-driven decision-making", "outcomesObjectives" : "Improve productivity; Enhance deviation detection", "qualificationsBasic" : "Basic knowledge of data analytics, Basic knowledge of data visualization, Programming or scripting exposure", "qualificationsPreferred" : "Data analytics related courses", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "**Our vision is to transform how the world uses information to enrich life for all.** Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. * **Summary:** Applying automation software to improve productivity of the equipment engineering team. Learn about the importance of equipment parameters to wafer processing and apply data analytics on them for monitoring and deviation detection. * **Department:** Manufacturing Dry Etch * **Project Title:** Developing Automation Solutions to Improve Productivity and Enhancing Deviation Detection in Equipment Engineering * **Project Description:** This project focuses on the design and implementation of automation solutions to enhance productivity within the equipment engineering function in a semiconductor manufacturing environment. The intern will work closely with engineering stakeholders to understand equipment processes, key parameters influencing wafer fabrication, and current operational challenges that can be improved through automation. The intern will gain exposure to different automation platforms and data systems available within the organization, and learn how these tools are applied to streamline workflows and reduce reliance on manual data handling. In addition, the intern will explore the relationship between equipment parameters and process outcomes, and apply data analytics methods to monitor performance and identify deviations. Through this structured project, the intern will develop both technical and analytical capabilities while contributing to a defined improvement initiative within the engineering domain **Objective of the Project** * Develop automation solutions that improve engineering workflow efficiency * Apply data analytics techniques to equipment parameters for monitoring and deviation detection * Build understanding of equipment behaviour and its impact on wafer processing outcomes * **Scope:** * Design and implement automation solutions using available engineering tools and platforms * Develop automated data extraction, transformation, and visualization workflows * Analyze equipment parameters and evaluate correlations across datasets * Apply analytical techniques to study equipment matching and performance trends * Identify opportunities to enhance process visibility and data-driven decision-making * **Deliverable:** Automated way to replace manual touches and manual data pulling for day to day shift equipment team operation. Enhanced data monitoring to improve deviation detection. * **Impact of Project:** Improved productivity and deviation detection * **Skillset Require:** * Analytical thinking and problem-solving capability * Basic knowledge of data analytics and data visualization * Programming or scripting exposure is an advantage * Ability to interpret data and translate findings into engineering insights * **Course of interests:** Engineering, data analytics related courses. * **Duration Period:** min 5 months **About Micron Technology, Inc.** We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life _for all_. With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience. To learn more, please visit micron.com/careers All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. To request assistance with the application process and/or for reasonable accommodations, please contact [hrsupport_sg@micron.com](mailto:hrsupport_jp@micron.com) Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron. AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.", "summaryDescription" : "Intern - Manufacturing Technician (Dry Etch) at Micron. Skills: Automation solutions, Data analytics, Deviation detection. Develop automation solutions. Improve engineering workflow efficiency", "postedDate" : "2026-06-11T16:04:53.295", "createdAt" : "2026-06-11T16:04:53.234", "lastUpdated" : "2026-06-13T10:52:41.586", "ingestTimestamp" : "2026-06-11T16:04:53.234", "mongoId" : "6a2a688574d8ee00a0634706", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://micron.wd1.myworkdayjobs.com/External/job/Fab-10NX-Singapore/Intern---Manufacturing-Technician--Dry-Etch-_JR102746", "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Data visualization", "Automation solutions", "Data analytics", "Deviation detection", "Analytical thinking", "Problem-solving", "Wafer processing", "Equipment parameters", "Semiconductor manufacturing" ], "skillCount" : 10, "jobCategory" : "engineering", "seniorityLevel" : "junior", "dataQualityScore" : 1.0, "_score" : 710.1495, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Semiconductor Manufacturing" }, { "id" : "6a2d024e74d8ee00a0abbc9d", "title" : "Data and AI Marketing Intern", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Data and AI Marketing Intern in Alexandria, United States, adjusted for the technology industry." }, "location" : "Alexandria, VA", "locations" : [ "Alexandria, VA" ], "timestamp" : "2026-06-16T06:12:07.063", "fingerprint" : "4f4c4efce6ad0b5bd7f08cf27db19dffaac43726855640ef3a2b30d36e1a76f1", "source" : "jazzhr", "language" : "en", "externalId" : "5wjRGUZ0z4", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Alexandria", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8051095,-77.0470229" } ], "locationText" : "Alexandria, Virginia, United States", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "remoteFriendly" : false, "summaryDescription" : "Data and AI Marketing Intern", "createdAt" : "2026-06-14T19:12:31.506", "lastUpdated" : "2026-06-16T06:12:07.063", "ingestTimestamp" : "2026-06-14T19:12:31.506", "mongoId" : "6a2d024e74d8ee00a0abbc9d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 45000, "salaryAnnualMax" : 65000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Entry", "dataQualityScore" : 0.5555556, "_score" : 702.5239, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cecd374d8ee00a0a7c0a3", "title" : "Manufacturing Data Entry", "company" : "InsulTech", "industry" : "Manufacturing", "salary" : { "min" : 36000.0, "max" : 48000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Manufacturing Data Entry role in Yuma, United States, adjusted for industry and company size." }, "location" : "Yuma, AZ", "locations" : [ "Yuma", "AZ" ], "timestamp" : "2026-06-15T13:04:51.321", "fingerprint" : "1959659df457b848727ad7f24fdfde0964e083caee50ff777b7becd3c6242699", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://insultech.breezy.hr/p/d3670c62c42b-manufacturing-data-entry", "externalId" : "d3670c62c42b", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Yuma", "state" : "Arizona", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.7254216,-114.6198088" } ], "locationText" : "Yuma, Arizona, United States", "employmentType" : "FULL_TIME", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning" ], "hardSkillsList" : [ "Data entry", "Accurate data entry" ], "hardSkills" : [ { "name" : "Data entry", "level" : "intermediate" }, { "name" : "Accurate data entry", "level" : "intermediate" } ], "majorSkills" : "Data entry, Production scheduling", "majorSkillsList" : [ "Data entry", "Production scheduling" ], "coreResponsibilities" : "Enter data accurately, Perform directed tasks", "teamCollaboration" : "Planning team", "domainKnowledge" : "Production schedules", "domainList" : [ "production-schedules" ], "domainSpecificKnowledge" : [ "Production schedules" ], "problemSolvingSkills" : "Analytical skills", "outcomesObjectives" : "Ensure production schedules are met", "qualificationsBasic" : "Energetic individual, Analytical individual, Detail-oriented individual", "workSiteFlexibility" : "Onsite", "rawDescription" : "Job Responsibilities We are looking for an energetic, analytical, and detail-oriented individual to join our Planning team. This is a key role focused on accurate entry of data and performing directed tasks for the planning team. This team ensures production schedules are met and that any obstacl", "summaryDescription" : "Manufacturing Data Entry at InsulTech. Skills: Data entry, Production scheduling. Enter data accurately. Perform directed tasks", "createdAt" : "2026-06-14T01:12:44.912", "lastUpdated" : "2026-06-15T13:04:51.321", "ingestTimestamp" : "2026-06-14T01:12:44.912", "mongoId" : "6a2cecd374d8ee00a0a7c0a3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 36000, "salaryAnnualMax" : 48000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Data entry", "Accurate data entry", "Production scheduling", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Production schedules" ], "skillCount" : 9, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "_score" : 697.8289, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.92 }, { "id" : "6a2ca05374d8ee00a09a1e42", "title" : "(Intern) Data Automation", "company" : "Tacto", "industry" : "Student & Graduate Internships", "salary" : { "min" : 18000.0, "max" : 24000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on the market baseline for entry-level internships in the technology industry in Munich, Germany, adjusted for the specific company and role." }, "location" : "Munich", "locations" : [ "Munich" ], "timestamp" : "2026-06-16T04:40:04.611", "fingerprint" : "64559baef808cc83d63382ba91da69780cb305adfbce6dc5e9498750581c86f2", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/tacto/6b175aec-f934-4e19-9c0a-3bbc6c3b4825/application", "externalId" : "6b175aec-f934-4e19-9c0a-3bbc6c3b4825", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Munich", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "48.1371079,11.5753822" } ], "locationText" : "Munich, Germany", "employmentType" : "INTERNSHIP", "remoteFriendly" : false, "rawDescription" : "YOUR IMPACT As part of Solution Engineering at Tacto, you'll bridge our powerful platform with measurable customer value through data expertise. Working directly with customers and leads, you'll understand their unique supply chain challenges and implement tailored technical solutions. By integrating customer procurement data and configuring the platform to match their processes, you'll drive adoption and showcase immediate ROI (even during the deal building process). This technical role combines data engineering with customer interaction – you'll not only build robust data pipelines but also guide customers through implementation, helping transform our technology into business impact for Europe's industrial backbone. Your work will directly influence deal conversions, customer value, product evolution, and our company's growth trajectory. YOUR TASKS (TRACK SPECIFIC) Solution Engineering Track - Data Integration & Pipeline Development: Design and implement stable, scalable pipelines that transform customer procurement data into actionable insights within Tacto's platform. - Technical Onboarding Leadership: Drive the technical implementation process from kickoff to completion, working with customer IT teams to ensure smooth integration and rapid time-to-value. - Solution Configuration: Customize the Tacto platform to match each customer's unique requirements, applying best practices in procurement and supplier management. - Continuous Improvement: Develop reusable components and standardized approaches that increase onboarding efficiency while maintaining quality and customer satisfaction. Value Engineering Track - Value Case Development & Quantification: Analyze customer ERP and procurement data to identify and quantify concrete savings and risk-reduction potential for our leads during deal building. . - Value Storytelling & Stakeholder Presentation: Translate findings into compelling negotiation dossiers, savings cases and presentations that make Tacto's ROI tangible for procurement and executive stakeholders – and support Sales in turning value into deal momentum. - Vibe Code @TactoContinuous Improvement: Develop reusable analytical frameworks and AI-native workflows that scale Proof of ValuePoV delivery and extend our demo app with compelling new value cases in alignment with our product team. General (both tracks) - Cross-Functional Collaboration: Work closely with Customer Success, Product, and Engineering to deliver integrated solutions and feed customer insights back into our product roadmap. - Become AI Native: Proactively identify opportunities to leverage AI to accelerate your work, experiment with new approaches, and share successful workflows – contributing to Tacto's culture of high-velocity execution and innovation. YOUR PROFILE Now you may wonder what experiences and skills you need for this role. We believe that problem-solving, creativity, and drive are more important than tools that can be picked up. However, the following references will give a guideline of what experiences we think might be helpful.link - You have strong business acumen - You enjoy getting to know customers and / or leads, understanding their needs and achieving results together with an interdisciplinary team - You have experience in programming with SQL - You are familiar with importing, cleansing, validating, transforming and exploring data - You have worked with BI tools such as PowerBI or Tableau - You have strong communication skills in both German and English OUR BACKGROUND Tacto is building the intelligence layer that connects AI to the physical world of manufacturing, starting with procurement. AI is transforming every industry, but it stops at the factory gate. The knowledge that holds manufacturing together - part costs, suppliers, materials - is scattered across systems and people. Over 50% of a product's cost originates from suppliers, making procurement the single largest cost lever in manufacturing and the missing connection between the digital and the physical world. Yet it still runs on Excel and legacy systems. We're changing that with our Procurement Intelligence Platform, trusted by hundreds of companies running billions of Euros of material. Based in Munich, we are 100+ passionate builders who are in-office, with high expectations, fast growth, and a lot of fun. We are supported by >€50m from Sequoia, Index, and Europe's leading tech entrepreneurs and industry veterans. WHY IT MATTERS Manufacturing forms Europe's economic backbone, driving a fourth of Europe's GDP and providing over 30% of jobs. These hidden champions and global market leaders manufacture the physical world around us, from the machines that build our cities to the medical devices that save lives. But the world is changing. The US dominates the digital world of bits. China is scaling the world of atoms, manufacturing at unprecedented speed and scale. Geopolitics are more uncertain than ever. Europe's strength lies in its deep industrial knowledge through generations of engineering. Manufacturing worldwide runs on European machines and software. But that heritage is only an advantage if we leverage it in the age of AI. Tacto builds the AI that connects Atoms and Bits, empowering our Industrial Base to Stay Stronger and building a lighthouse for European tech. WHAT WE OFFER The people at Tacto are passionate about building the organization, growing themselves, and our product while having fun and being real. We have high expectations, great talent density, and a culture where your ambition, performance, and agency are what count - not where you come from or how big your ego is. You'll grow at the forefront of AI, have real ownership and impact, and be surrounded by the best people in their field who challenge you and make you better every day. That is demanding and rewarding, but that's where we thrive. Besides that you have: - Money: Competitive salary & equity in the company with real upside, so you are invested in our success - Workplace: A vibrant in-office culture (> 4 days/week) in a beautiful office in central Munich - Development: A development budget and regular exposure to exceptional people, e.g., Lunch & Learns, peer mentoring, external speakers - Freetime: 26 + 4 vacation days per year (4 fixed “company rest days”) as well as regular off-sites and team events - Health: Wellpass membership, of course, a fruit basket (!), and access to Jobrad, for your health - Family & Social Security: Voluntary pension contribution, voluntary KITA subsidy for your children Tacto is an equal opportunity employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability, or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.", "summaryDescription" : "(Intern) Data Automation at Tacto", "createdAt" : "2026-06-14T20:12:22.841", "lastUpdated" : "2026-06-16T04:40:04.611", "ingestTimestamp" : "2026-06-14T20:12:22.841", "mongoId" : "6a2ca05374d8ee00a09a1e42", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.6666667, "_score" : 691.52374, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305f8bf292fd229cf7de69", "title" : "Renewables Data Researcher Intern", "company" : "Unison", "industry" : "Europe", "salary" : { "min" : 12000.0, "max" : 18000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level intern in Milan, Italy, adjusted for the climate tech industry." }, "location" : "Milan", "locations" : [ "Milan" ], "timestamp" : "2026-06-16T11:05:09.037", "fingerprint" : "6b5b202ac7f746fd75f9b07b53db2000dfef5368b54d13c65d6b73ac4d335688", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/unisoninfra/3f44c0b4-a7f9-4002-b49d-f3844f51dd23/apply", "externalId" : "3f44c0b4-a7f9-4002-b49d-f3844f51dd23", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Milan", "country" : "Italy", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "45.4641943,9.1896346" } ], "locationText" : "Milan, Italy", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "professionalSkills" : [ "Data quality management", "Data management" ], "hardSkillsList" : [ "Data entry" ], "hardSkills" : [ { "name" : "Data entry", "level" : "intermediate" } ], "majorSkills" : "Renewable energy, Data acquisition, Data validation", "majorSkillsList" : [ "Renewable energy", "Data acquisition", "Data validation" ], "coreResponsibilities" : "Enter data, Manage data quality, Research renewable energy information, Validate renewable energy information, Validate project details, Validate stakeholder details, Update internal datasets, Update tracking systems", "domainKnowledge" : "Renewable energy sector; Solar energy; Wind energy; Biogas energy; Infrastructure projects; Energy projects", "domainList" : [ "renewable-energy-sector", "solar-energy", "wind-energy", "biogas-energy", "infrastructure-projects", "energy-projects" ], "domainSpecificKnowledge" : [ "Renewable energy sector", "Solar energy", "Wind energy", "Biogas energy", "Infrastructure projects", "Energy projects" ], "qualificationsBasic" : "Basic knowledge of energy projects, Basic knowledge of infrastructure projects, Basic knowledge of planning processes, Basic knowledge of permitting processes", "qualificationsPreferred" : "Solid understanding of renewable energy technologies, Good knowledge of solar technologies, Good knowledge of wind technologies, Good knowledge of biogas technologies, Good knowledge of related infrastructure", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Description Unison is a telecom and renewables infrastructure investment firm funded in partnership with Ardian - the global investment house based in Paris with over $150 billion in assets under management. Unison commenced operations in 2003 and today invests in real estate and infrastructure hosting wireless and renewables tenants in the United States and Europe. The Company is expanding rapidly and looking for talented, entrepreneurial team members to grow with us. English Version We are looking for a motivated and detail-oriented Intern to join our team in Milan, supporting our data acquisition and optimisation activities within the renewable energy sector. This is an excellent opportunity for someone with a strong interest and foundational knowledge in renewable energy to gain hands-on experience working with real project data across Europe. Key Responsibilities Data entry and ongoing data quality management Research and validation of renewable energy project information Telephone-based validation of project and stakeholder details Support updates to internal datasets and tracking systems Ideal Profile Solid understanding of renewable energy technologies, including solar, wind, biogas, and related infrastructure Basic knowledge of how energy or infrastructure projects are structured, including planning and permitting processes Strong attention to detail and confidence working with data Comfortable conducting research and phone-based validation work Location Milan, Italy What We Offer Hands-on experience in a fast-growing renewable energy environment Exposure to large-scale infrastructure data and market analysis Opportunity to develop research and data management skills in a professional setting Versione Italiana Stiamo cercando un/una tirocinante motivato/a e orientato/a ai dettagli da inserire nel nostro team a Milano, a supporto delle attività di acquisizione e ottimizzazione dei dati nel settore delle energie rinnovabili. Questa rappresenta un’eccellente opportunità per candidati con forte interesse e conoscenze di base nel settore delle energie rinnovabili, per acquisire esperienza pratica lavorando con dati reali relativi a progetti in tutta Europa. Responsabilità principali Inserimento dati e gestione continua della qualità dei dati Ricerca e validazione di informazioni su progetti di energia rinnovabile Attività di validazione telefonica di dati relativi a progetti e stakeholder Supporto nell’aggiornamento di database interni e sistemi di monitoraggio Profilo ideale Buona conoscenza delle tecnologie legate alle energie rinnovabili, tra cui solare, eolico, biogas e infrastrutture correlate Conoscenza di base della struttura dei progetti energetici o infrastrutturali, inclusi i processi di pianificazione e autorizzazione Elevata attenzione ai dettagli e dimestichezza nell’utilizzo e gestione dei dati Disponibilità a svolgere attività di ricerca e validazione telefonica Sede Milano, Italia Cosa offriamo Esperienza pratica in un contesto dinamico e in forte crescita nel settore delle energie rinnovabili Esposizione a dati su infrastrutture su larga scala e analisi di mercato Opportunità di sviluppare competenze di ricerca e gestione dei dati in un contesto professionale", "summaryDescription" : "Renewables Data Researcher Intern at Unison. Skills: Renewable energy, Data acquisition, Data validation. Enter data. Manage data quality", "postedDate" : "2026-06-15T12:28:47.281", "createdAt" : "2026-06-15T12:28:47.281", "lastUpdated" : "2026-06-16T11:05:09.037", "ingestTimestamp" : "2026-06-16T03:22:19.700", "mongoId" : "6a305f8bf292fd229cf7de69", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Data entry", "Renewable energy", "Data acquisition", "Data validation", "Data quality management", "Data management", "Renewable energy sector", "Solar energy", "Wind energy", "Biogas energy", "Infrastructure projects", "Energy projects" ], "skillCount" : 12, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "_score" : 690.7768, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Climate Tech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2a688574d8ee00a0634721", "title" : "Senior Engineer, Process Development, Wet, NTI", "company" : "One Thing", "industry" : "Semiconductor", "salary" : { "min" : 115000.0, "max" : 175000.0, "currency" : "SGD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Engineer, Process Development, Wet, NTI in Singapore, adjusted for seniority and industry." }, "location" : "Fab 10N/X, Singapore", "locations" : [ "Fab 10N/X, Singapore" ], "timestamp" : "2026-06-13T02:33:24.237", "fingerprint" : "9d2885207daa655c31d81e68c4cd76b79bc607b629eeb432ba3b052d5e0b5362", "source" : "workday", "language" : "en", "applyUrl" : "https://micron.wd1.myworkdayjobs.com/External/job/Fab-10NX-Singapore/Senior-Engineer--Process-Development--Wet--NTI_JR103980", "externalId" : "JR103980", "industryFunction" : { }, "locationPoint" : "20.16542,-88.46398", "structuredLocations" : [ { "city" : "Singapore", "country" : "Singapore", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "1.2899175,103.8519072" } ], "locationText" : "Singapore, Singapore", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Wet Etch, Process Development, NAND, Microelectronic Engineering, Chemistry, Chemical kinetics, Thermodynamics, Mass transport, Films, Interface engineering, SIMS, XPS, EDX, SEM/TEM, FTIR, Memory processing, Planar NAND, Vertical NAND, Data analysis, Design of Experiments, DoE", "professionalSkills" : [ "Process optimization", "Yield improvement", "Quality improvement", "Process margin improvement", "Technology choices", "Process requirements", "Fundamental research", "Hardware evaluations", "Novel applications", "Intellectual property generation", "Process margins", "Next node solutions", "Process simplification", "Manufacturability", "Best known methods", "Process monitoring", "Process control", "Technical projects", "Process improvements", "Procedure improvements", "Equipment improvements", "Complex projects", "Multi-disciplinary projects", "Quality meetings", "Process improvement meetings", "Yield improvement meetings", "Cost improvement meetings", "Productivity improvement meetings", "Technical issues", "Innovation projects", "Technical papers", "Supplier engagement", "Breakthrough solutions" ], "hardSkillsList" : [ "Chemistry", "Chemical kinetics", "Thermodynamics", "Mass transport", "Films engineering", "Interface engineering", "Wet etch processes", "Memory processing", "Data analysis", "Design of Experiments", "DoE" ], "hardSkills" : [ { "name" : "Chemistry", "level" : "intermediate" }, { "name" : "Chemical kinetics", "level" : "intermediate" }, { "name" : "Thermodynamics", "level" : "intermediate" }, { "name" : "Mass transport", "level" : "intermediate" }, { "name" : "Films engineering", "level" : "intermediate" }, { "name" : "Interface engineering", "level" : "intermediate" }, { "name" : "Wet etch processes", "level" : "intermediate" }, { "name" : "Memory processing", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Design of Experiments", "level" : "intermediate" }, { "name" : "DoE", "level" : "intermediate" } ], "majorSkills" : "Process Development, Wet Etch, NAND, Semiconductor Industry", "majorSkillsList" : [ "Process Development", "Wet Etch", "NAND", "Semiconductor Industry" ], "coreResponsibilities" : "Develop and optimize unit processes, Meet yield and quality requirements, Quantify benefits of innovative solutions, Enable early experimentation and adoption, Prioritize technology issues, Integrate and troubleshoot processes, Drive yield and quality improvement, Participate on technology choices, Translate future technology needs, Perform fundamental research, Evaluate hardware, Test processes for novel applications, Generate intellectual property, Initiate and manage experiments, Widen process margins, Test manufacturability of solutions, Identify process simplification opportunities, Drive cross functional teams in implementation, Incorporate best known manufacturing methods, Design advanced process monitoring, Implement advanced process control, Serve as technical expert, Contribute to technical projects, Lead team or sites or suppliers, Lead complex projects, Lead multi-disciplinary projects, Provide advice and counsel to management, Lead innovation projects, Initiate innovation projects through patents, Engage with suppliers, Push for breakthrough solutions", "teamCollaboration" : "Cross-functional teams; Local and global partners; Boise TD Wet Etch peers; Cross functional teams; Quality focused meetings; Process improvement meetings; Yield improvement meetings; Cost improvement meetings; Productivity improvement meetings; Worldwide TD engagement", "projectManagementSkills" : [ "Manage multiple projects" ], "domainKnowledge" : "Advanced NAND; Wet Etch; Memory processing; Planar NAND; Vertical NAND", "domainList" : [ "advanced-nand", "wet-etch", "memory-processing", "planar-nand", "vertical-nand" ], "domainSpecificKnowledge" : [ "Advanced NAND", "Wet Etch", "Memory processing", "Planar NAND", "Vertical NAND" ], "toolProficiency" : [ "Y3" ], "communicationSkills" : "Oral communication; Written communication; Convey message concisely; Effective communication; Local communications; Remote communications", "documentationSkills" : "Technical papers", "innovationCreativity" : "Innovation projects; Patents; Technical papers", "problemSolvingSkills" : "Troubleshoot processes; Process margin improvement; Yield improvement; Quality improvement", "specialRequirements" : "Working extended hours", "outcomesObjectives" : "Meet yield requirements; Meet quality requirements; Enable early experimentation; Enable adoption; Process margin improvement; Drive yield improvement; Drive quality improvement; Translate needs into requirements; Test manufacturability; Process simplification; Improve processes; Improve procedures; Improve equipment", "qualificationsBasic" : "Masters/PhD graduates in Chemistry, Materials Science or Chemical/Microelectronic Engineering, 2-3 years semiconductor industry experience, Deep understanding of chemistry, chemical kinetics, thermodynamics and mass transport, Basic understanding of films and interface engineering, Understanding of integration and structural impacts related to wet etch processes, Understanding of general process steps for memory processing, Working knowledge of data analysis systems, Working knowledge of Design of Experiments (DoE), Proven ability to collaborate with local and overseas teams, Excellent oral and written communication skills, Ability to be a self-motivated individual, Adaptable to working extended hours, Proven ability to work in a demanding & dynamic environment, Able to prioritize and manage multiple projects simultaneously, Strict adherence to Micron Intellectual Property protection policy", "qualificationsPreferred" : "2-3 years semiconductor industry experience preferable", "remoteFriendly" : true, "workSiteFlexibility" : "Onsite", "rawDescription" : "**Our vision is to transform how the world uses information to enrich life for all.** Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. **Responsibilities :** * Develop and optimize unit processes to meet the yield and quality requirements of advanced NAND part type * Quantify benefits of innovative process and/or equipment solutions to enable early experimentation and adoption for process margin improvement Prioritize within Singapore based manufacturing Wet Etch team on the key technology issues that need TD breakthroughs. * Integrate and troubleshoot processes as part of cross-functional teams driving yield and quality improvement Participate with Boise TD Wet Etch peers on technology choices for the upcoming nodes and able to translate future technology device needs into clear process requirements * Process development will include performing fundamental research, hardware evaluations, as well as testing processes for novel applications and generating intellectual property relevant to Micron. * Initiate and manage experiments to widen process margins as well as to test out manufacturability of next node solutions * Identify process simplification opportunities and drive cross functional teams in implementation Incorporate best known manufacturing methods into early development phase of upcoming nodes. * Design and implement advanced process monitoring and control methodologies. * Serve as a technical expert within Micron contributing to technical projects for improvements to processes, procedures and equipment. * Lead team or sites or suppliers on complex, multi-disciplinary projects in quality focused meetings, process and yield improvement meetings, cost and productivity improvement meetings * Provide advice and counsel to management on significant technical issues. Leads and initiate innovation projects through patents/technical papers. * This position requires communication and collaboration with partners both locally and globally. * Strict adherence to Micron Intellectual Property protection policy is a must. * Be part of the continuous worldwide TD engagement with suppliers pushing for breakthrough solutions. **Requirements :** * Masters/PhD graduates in Chemistry, Materials Science or Chemical/Microelectronic Engineering are welcome to apply. * 2-3 years of semiconductor industry experience is preferable * A deep understanding of chemistry, chemical kinetics, thermodynamics and mass transport * Basic understanding of films and interface engineering and analysis techniques thereof – SIMS, XPS, EDX, SEM/TEM, FTIR. * Understanding of various integration and structural impacts and constraints related to wet etch processes. * An understanding of the general process steps and process flow for memory processing, planar and vertical NAND memory in particular. * Working knowledge of data analysis systems e.g.: Y3 to facilitate analysis of experimental data * Working knowledge of Design of Experiments (DoE) Proven ability to collaborate with local and overseas teams on projects * Excellent oral and written communication skills with ability to convey the message in concise and effective manner both in local as well as remote communications. * Ability to be a self-motivated individual and be adaptable to Micron’s changing needs in terms of working extended hours, if required Proven ability to work in a demanding & dynamic environment and able to prioritize and manage multiple projects simultaneously **Working location:** * 1, North Coast Drive, Singapore 757432 **About Micron Technology, Inc.** We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life _for all_. With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience. To learn more, please visit micron.com/careers All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. To request assistance with the application process and/or for reasonable accommodations, please contact [hrsupport_sg@micron.com](mailto:hrsupport_jp@micron.com) Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron. AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.", "summaryDescription" : "Senior Engineer, Process Development, Wet, NTI at One Thing. Skills: Process Development, Wet Etch, NAND, Semiconductor Industry. Develop and optimize unit processes. Meet yield and quality requirements", "postedDate" : "2026-06-11T16:25:10.122", "createdAt" : "2026-06-11T16:25:09.611", "lastUpdated" : "2026-06-13T02:33:24.237", "ingestTimestamp" : "2026-06-11T16:25:09.611", "mongoId" : "6a2a688574d8ee00a0634721", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://micron.wd1.myworkdayjobs.com/External/job/Fab-10NX-Singapore/Senior-Engineer--Process-Development--Wet--NTI_JR103980", "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Chemistry", "Chemical kinetics", "Thermodynamics", "Mass transport", "Films engineering", "Interface engineering", "Wet etch processes", "Memory processing", "Data analysis", "Design of Experiments", "DoE", "Process Development", "Wet Etch", "NAND", "Semiconductor Industry", "Process optimization", "Yield improvement", "Quality improvement", "Process margin improvement", "Technology choices", "Process requirements", "Fundamental research", "Hardware evaluations", "Novel applications", "Intellectual property generation", "Process margins", "Next node solutions", "Process simplification", "Manufacturability", "Best known methods", "Process monitoring", "Process control", "Technical projects", "Process improvements", "Procedure improvements", "Equipment improvements", "Complex projects", "Multi-disciplinary projects", "Quality meetings", "Process improvement meetings", "Yield improvement meetings", "Cost improvement meetings", "Productivity improvement meetings", "Technical issues", "Innovation projects", "Technical papers", "Supplier engagement", "Breakthrough solutions", "Manage multiple projects", "Advanced NAND", "Planar NAND", "Vertical NAND", "Y3" ], "skillCount" : 53, "jobCategory" : "engineering", "seniorityLevel" : "senior", "dataQualityScore" : 1.0, "_score" : 683.955, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Semiconductor" }, { "id" : "6a2cc1eb74d8ee00a0a04f5b", "title" : "Data Science Intern", "company" : "Sailpeak", "industry" : "Internal", "salary" : { "min" : 15000.0, "max" : 25000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on the market baseline for Data Science Intern roles in Brussels, Belgium, adjusted for entry-level seniority and the consulting industry." }, "location" : "Brussels", "locations" : [ "Brussels" ], "timestamp" : "2026-06-15T14:12:48.603", "fingerprint" : "fbe71606553f7669d418889ac266091fe6dbd626c832e99ace8675164459acc1", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/sailpeak/a34f75ff-204b-4927-bd99-7b1bb444f481/application", "externalId" : "a34f75ff-204b-4927-bd99-7b1bb444f481", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Brussels", "country" : "Belgium", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "50.8467372,4.3524930" } ], "locationText" : "Brussels, Belgium", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Python, Pandas, NumPy, AI, Machine Learning, Generative AI", "professionalSkills" : [ "Problem-solving", "Analytical skills" ], "hardSkillsList" : [ "Data analysis", "AI workflows", "Automation" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "AI workflows", "level" : "intermediate" }, { "name" : "Automation", "level" : "intermediate" } ], "majorSkills" : "Data Science, AI, Analytics", "majorSkillsList" : [ "Data Science", "AI", "Analytics" ], "coreResponsibilities" : "Contribute to AI projects, Support client projects, Research AI tools, Benchmark AI technologies, Design AI workflows, Build AI automations, Analyze datasets, Extract insights, Develop prototypes, Develop dashboards, Develop proof-of-concepts, Integrate Generative AI, Identify AI use cases, Document findings, Document methodologies, Document recommendations, Participate in brainstorming", "teamCollaboration" : "Collaborate with teams; Collaborate with consultants", "domainKnowledge" : "Digital transformation; Banking; Insurance", "domainList" : [ "digital-transformation", "banking", "insurance" ], "domainSpecificKnowledge" : [ "Digital transformation", "Banking", "Insurance" ], "documentationSkills" : "Document findings; Document methodologies; Document recommendations", "innovationCreativity" : "Innovation; AI adoption; Emerging technologies", "problemSolvingSkills" : "Analytical skills; Problem-solving skills", "qualificationsBasic" : "0-2 years experience, Bachelor's or Master's degree, Basic Python knowledge, Familiarity with AI concepts", "qualificationsPreferred" : "French or Dutch fluency a plus, PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "About Sailpeak At Sailpeak, we are a Brussels-based consulting firm specializing in guiding Banking & Insurance firms through the complexities of digital transformation. With expertise in Business Strategy, Data & AI, and Digital Transformation, Sailpeak helps clients navigate the ever-evolving landscape and reach new heights of success. \uD83E\uDD16 About the Role We are looking for a Data Science Intern with 0–2 years of experience who is excited about AI, data, automation, and innovation. This is not a “theoretical only” internship. You’ll work on real internal AI projects, support consultants on client initiatives, contribute to AI benchmarks and workflows, and help shape how Sailpeak leverages AI internally. You will work part-time (2.5 days/week) in a fast-growing and entrepreneurial environment where ownership, curiosity, and initiative are highly valued. If you enjoy dynamic environments where no two weeks look the same, you’ll fit right in. \uD83D\uDCCA You will: - Contribute to internal AI and Data Science projects such as the Sailpeak AI Barometer. - Support consultants on data and AI-related client projects. - Research and benchmark AI tools, technologies, and market trends. - Help design and build AI workflows, automations, and internal productivity solutions. - Analyze datasets and extract actionable insights. - Assist in developing prototypes, dashboards, and proof-of-concepts. - Explore opportunities to integrate Generative AI into internal and client-facing processes. - Collaborate with different teams to identify AI use cases and improvement opportunities. - Document findings, methodologies, and recommendations clearly. - Participate in brainstorming sessions around innovation, AI adoption, and digital transformation. \uD83D\uDCCA You bring to the table: - 0–2 years of experience or internships in Data Science, AI, Analytics, Computer Science, Engineering, or related fields. - A Bachelor’s or Master’s degree (ongoing or completed) in Data Science, Computer Science, Engineering, Mathematics, AI, or a related field. - Basic knowledge of Python and data analysis libraries (Pandas, NumPy, etc.). - Familiarity with AI concepts, machine learning, or Generative AI tools. - Interest in AI workflows, automation tools, and emerging technologies. - Strong analytical and problem-solving skills. - A proactive personality with curiosity and ownership. - Someone who enjoys learning quickly and experimenting with new ideas. - Ability to work independently while collaborating closely with a team. \uD83D\uDDE3️ Language Skills: - Fluency in English. - French or Dutch is a plus. \uD83E\uDD39 Other Skills: - Comfortable working in a fast-paced and evolving environment. - Strong communication and collaboration skills. - Attention to detail and structured thinking. - Passion for AI, innovation, and continuous improvement. - Interest in consulting, digital transformation, and emerging technologies. \uD83C\uDF81 What’s in it for you - Internship compensation aligned with market standards. - Hands-on experience in a fast-growing consulting and AI-driven environment. - Ownership and autonomy from day one. - Exposure to AI strategy, data science, innovation, automation, and digital transformation projects. - Mentorship from experienced consultants and leadership with backgrounds from companies like Google, PayPal, Semetis, and Sia Partners. - A vibrant office culture in Brussels with regular events, knowledge-sharing sessions, and team activities. \uD83E\uDDD1‍\uD83D\uDD2C The Process Step 1: 30-minute introductory call with our Talent team to discuss your background, motivation, and expectations. Step 2: Practical discussion around AI, problem-solving, and data-related use cases. Step 3: Final conversation with one of the founders or team leads. The Offer. Are you ready to kick-start your career in Data Science and AI while contributing to innovative projects in a fast-growing consulting company? Join Sailpeak and grow with us!", "summaryDescription" : "Data Science Intern at Sailpeak. Skills: Data Science, AI, Analytics. Contribute to AI projects. Support client projects", "createdAt" : "2026-06-14T09:20:01.540", "lastUpdated" : "2026-06-15T14:12:48.603", "ingestTimestamp" : "2026-06-14T09:20:01.540", "mongoId" : "6a2cc1eb74d8ee00a0a04f5b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Data analysis", "AI workflows", "Automation", "Data Science", "AI", "Analytics", "Problem-solving", "Analytical skills", "Digital transformation", "Banking", "Insurance" ], "skillCount" : 11, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 679.09546, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ceb9074d8ee00a0a7670e", "title" : "Advanced Manufacturing Technician", "company" : "Formative 3D", "industry" : "Manufacturing", "salary" : { "min" : 52000.0, "max" : 71000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Advanced Manufacturing Technician in Falls Church, United States, adjusted for industry and company size." }, "location" : "Falls Church, Virginia, United States", "locations" : [ "Falls Church", "Virginia", "United States" ], "timestamp" : "2026-06-15T07:51:20.971", "fingerprint" : "fcf907af011482224241d6409f959aa54a25ecca8228395821077d93f6f632aa", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/strategichr/jobs/7772180003", "externalId" : "7772180003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Falls Church", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8823340,-77.1710914" } ], "locationText" : "Falls Church, Virginia, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 1, "domainKnowledge" : "Large-format 3D printing; Modular furniture systems; Additive manufacturing technologies", "domainList" : [ "large-format-3d-printing", "modular-furniture-systems", "additive-manufacturing-technologies" ], "domainSpecificKnowledge" : [ "Large-format 3D printing", "Modular furniture systems", "Additive manufacturing technologies" ], "workSiteFlexibility" : "Onsite", "rawDescription" : "Job Opportunity: Advanced Manufacturing Technician with Formative 3D in Falls Church, VA Are you energized by hands-on work that blends cutting-edge technology with real-world manufacturing? Do you thrive in fast-paced, startup environments where quality, ownership, and innovation matter? Ready to help build scalable, sustainable products using large-format 3D printing? If so, we’d love to meet you! As an Advanced Manufacturing Technician, you’ll be at the core of our production operations, supporting the launch and growth of our new manufacturing facility. You’ll operate and maintain large-format robotic and FDM 3D printers, prepare and manage print jobs, post-process components, and ensure every part meets our quality standards. This is a unique opportunity to join a growing startup at the ground floor and play a hands-on role in shaping innovative, modular furniture systems using advanced additive manufacturing technologies. Key Responsibilities You will work closely with production, engineering, and design teams to: Operate and maintain large-format robotic and FDM 3D printers for component-based production Slice 3D models using PrusaSlicer and related software to generate print-ready G-code Manage pellet and filament inventory (PLA, PETG, etc.) and load materials to meet production demand Schedule, queue, and monitor print jobs across a fleet of printers to support 24/7 output Track material usage, print cycle times, and conduct quality inspections on all manufactured parts Harvest prints and perform post-processing, including support removal and part cleaning Troubleshoot printer issues and perform routine maintenance and calibration Fabricate jigs, fixtures, and other shop equipment as needed Maintain a clean, organized, and safe production environment Document production data and contribute to continuous improvement initiatives Collaborate with engineering and design teams to optimize print quality and efficiency Qualifications: 1+ years of experience in additive manufacturing, FDM printing, or related production environments (e.g., woodworking, metalworking, aerospace, CNC) Strong mechanical aptitude with hands-on problem-solving skills Comfort operating hand tools, power tools, and fabrication equipment Familiarity with PrusaSlicer and 3D modeling software such as Fusion 360 (preferred) Experience working with networked PC-based systems (MS Office, ERP systems) Detail-oriented mindset with a strong commitment to quality and safety Ability to work effectively in a fast-paced, startup environment Physical ability to lift up to 50 lbs and stand for extended periods Willingness to work weekends as needed What We Offer: Compensation commensurate with experience Full suite of healthcare benefits, including medical, dental, and vision Competitive PTO plans Competitive retirement plans Why Join Formative 3D? Built environments can be manufactured the same way the best technology products are: faster, smarter and at scale. Formative 3D deploys full-scale manufacturing solutions built for speed, flexibility and real-world impact. By combining advanced 3D printing, robotics and technology, we rethink how physical products for the built world are created — from concept to installation. We design and manufacture products that range from high-end furniture systems and architectural lighting to jigs, fixtures, and tooling. Formative 3D pushes additive manufacturing forward and sets a new standard for how the built environment gets made. After years of research, our first production facility launched in 2026, and we’re already proving that a new model of manufacturing isn’t theoretical; it’s operational. Apply online today to join a great team! Formative 3D is an Equal Opportunity Employer. We are committed to hiring and developing the most qualified individuals based on job-related experience, skills, and merit. All employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, or any other protected characteristic. We value a respectful, inclusive workplace where everyone has the opportunity to succeed. Formative 3D maintains a drug-free workplace consistent with applicable local, state, and federal laws. #ZR", "summaryDescription" : "Advanced Manufacturing Technician at Formative 3D", "postedDate" : "2026-06-13T23:31:19.081", "createdAt" : "2026-06-13T23:31:19.081", "lastUpdated" : "2026-06-15T07:51:20.971", "ingestTimestamp" : "2026-06-13T23:31:19.081", "mongoId" : "6a2ceb9074d8ee00a0a7670e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 52000, "salaryAnnualMax" : 71000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Large-format 3D printing", "Modular furniture systems", "Additive manufacturing technologies" ], "skillCount" : 3, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "_score" : 678.91644, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a308ac8f292fd229c097507", "title" : "Process Quality Technician", "company" : "Vericast", "industry" : "Marketing And Advertising", "salary" : { "min" : 18.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Salt Lake City, UT, United States", "locations" : [ "Salt Lake City", "UT", "United States" ], "timestamp" : "2026-06-16T11:41:04.459", "fingerprint" : "aa6a0b6c37e586deb1e3cafa2621618587db1cda1af3aaa6261a12c9d6576d9e", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Vericast/744000132246989-process-quality-technician-i-mon-fri-8a-4p-", "externalId" : "744000132246989", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Salt Lake City", "state" : "Utah", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7596198,-111.8867970" } ], "locationText" : "Salt Lake City, Utah, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "technicalSkills" : "Microsoft Office, Microsoft Word, Microsoft Excel, Microsoft Outlook", "professionalSkills" : [ "Quality control", "Process improvement", "Data analysis" ], "hardSkillsList" : [ "Quality inspection", "Data collection", "Report generation" ], "hardSkills" : [ { "name" : "Quality inspection", "level" : "intermediate" }, { "name" : "Data collection", "level" : "intermediate" }, { "name" : "Report generation", "level" : "intermediate" } ], "majorSkills" : "Quality control, Process monitoring", "majorSkillsList" : [ "Quality control", "Process monitoring" ], "coreResponsibilities" : "Perform quality inspections on incoming materials and finished, Monitor production processes to ensure adherence to quality, Collect and analyze quality data, Document inspection results and quality issues, Assist in the investigation of quality deviations, Participate in continuous improvement initiatives, Maintain a clean and organized work area", "teamCollaboration" : "Production team; Quality assurance team", "domainKnowledge" : "Quality control principles; Manufacturing processes", "domainList" : [ "quality-control-principles", "manufacturing-processes" ], "domainSpecificKnowledge" : [ "Quality control principles", "Manufacturing processes" ], "toolProficiency" : [ "Microsoft Office Suite" ], "communicationSkills" : "Technical documentation; Report generation", "documentationSkills" : "Inspection reports; Quality records", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "outcomesObjectives" : "Ensure product quality; Identify quality issues; Support process improvements", "qualificationsBasic" : "High school diploma or GED, 1+ year of experience in a manufacturing or quality environment, Proficiency in Microsoft Office Suite (Word, Excel, Outlook), Ability to read and interpret technical documents and quality standards, Basic understanding of quality control principles", "qualificationsPreferred" : "Associate's degree in a related field, Experience with statistical process control (SPC) software, Knowledge of Lean Manufacturing or Six Sigma principles", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Vericast is the financial institution (FI) performance partner. We help banks and credit unions drive growth, improve efficiency, increase engagement and navigate change through the power of data, technology and people. Our advanced analytics, data-driven insights and integrated solution set enable better execution with agility, precision and scale. That’s why thousands of financial institutions look to Vericast and our 150 years of financial services expertise to help them achieve more. For more information, visit [http://www.vericast.com](http://www.vericast.com/) or follow Vericast on [LinkedIn](https://www.linkedin.com/company/vericastmarketing/) . Process Quality Technician I - * Hourly Pay Rate: $18.00+ DOE + $0.50/hr wage increase eligible after 90 days * Hours: Monday -Friday 8:00am - 4:00pm * Paid Break and Lunch The Process Quality Technician is responsible for supporting the quality group & the teams in the production environment along with using troubleshooting techniques to solve PQ related issues. KEY DUTIES & RESPONSIBILITIES * Required to perform Print, Bindery, Packaging, & Mailroom audits and inspections as outlined in training materials. * Inspect problem runs, perform equipment quality tests, such as motion quality, signal strength, and MICR sampling. * Evaluate and count spoilage. * Support production teams on quality questions. * Produce and process samples for QCS. * Conduct research and root cause analysis. * Attend daily Team Business Meetings (huddles) as the quality resource. * Other duties as assigned. * Research and identify late work. * Run ready to sort reports. EQUIPMENT & SOFTWARE UTILIZED * Computer, keyboard, and mouse * Experience using MS Office ## Qualifications KNOWLEDGE / SKILLS / ABILITIES * Must have good typing skills * Willingness to train with desire to increase knowledge of quality duties * Strong technical and computer knowledge * Attention to detail * Ability to handle confidential information COMMUNICATION &CONTACTS * Excellent communication skills both written and verbal * Must be able to effectively communicate with QCS, Account Managers, and Priority One Managers * Frequently interacts with employees on work team by sharing information both out on the floor and in Team Business Meetings. DECISION MAKING * Ability to make fact based decisions with shift Team Leader PHYSICAL REQUIREMENTS * Include bending, walking, standing and kneeling 8-10 hours a day and lifting up to 20 lbs on occasion. ## Additional Information Applications will be accepted until the posted deadline Monday July 13th, 2026 or until a sufficient candidate pool has been identified. Vericast offers a year-round TEMPERATURE CONTROLLED, BRIGHT, CLEAN manufacturing printing team-based environment. The ultimate compensation offered for the position will depend upon several factors such as skill level, cost of living, experience, and responsibilities Vericast offers a generous total rewards benefits package that includes medical, dental and vision coverage, 401K and generous PTO allowance. A wide variety of additional benefits like life insurance, employee assistance and pet insurance are also available, not to mention smart and friendly coworkers. At Vericast, we don’t just accept differences - we celebrate them, we support them, and we thrive on them for the benefit of our employees, our clients, and our community. As an Equal Opportunity employer, Vericast considers applicants for all positions without regard to race, color, creed, religion, national origin or ancestry, sex, sexual orientation, gender identity, age, disability, genetic information, veteran status, or any other classifications protected by law. Applicants who have disabilities may request that accommodations be made in order to complete the selection process by contacting our Talent Acquisition team at [talentacquisition@vericast.com](mailto:talentacquisition@vericast.com). EEO is the law. To review your rights under Equal Employment Opportunity please visit: [www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf](http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf) #LI-SM1 #LI-Onsite", "summaryDescription" : "Process Quality Technician at Vericast. Skills: Quality control, Process monitoring. Perform quality inspections on incoming materials and finished. Monitor production processes to ensure adherence to quality", "postedDate" : "2026-06-15T16:40:46.000", "createdAt" : "2026-06-16T01:45:01.657", "lastUpdated" : "2026-06-16T11:41:04.459", "ingestTimestamp" : "2026-06-16T01:45:01.657", "mongoId" : "6a308ac8f292fd229c097507", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 37440, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Quality inspection", "Data collection", "Report generation", "Quality control", "Process monitoring", "Process improvement", "Data analysis", "Quality control principles", "Manufacturing processes", "Microsoft Office Suite" ], "skillCount" : 10, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "_score" : 678.4722, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.95 }, { "id" : "68dd1eeace260f92cbea0c2d", "title" : "Manufacturing Test Engr Intern", "company" : "Amazon Corporate Services Vietnam Company Limited", "industry" : "Hardware Development, studentprograms", "salary" : { "min" : 1.0E7, "max" : 1.5E7, "currency" : "VND", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for an Entry-level Manufacturing Test Engineer Intern in Hanoi, Vietnam, adjusted for the technology industry and large company size." }, "location" : "Hanoi, VNM", "locations" : [ "Hanoi, VNM" ], "timestamp" : "2026-06-15T04:12:40.596", "fingerprint" : "0c92c04a2d20eb039c6ff60f2844bf42e272a7d5e27c533204dacb918abb6ef2", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3098698/apply", "externalId" : "c3cdc257-9acc-4d3d-b649-e9db3a61c8a6", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hanoi", "country" : "Vietnam", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "21.0283334,105.8540410" } ], "locationText" : "Hanoi, Vietnam", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "Embedded Software Development", "professionalSkills" : [ "Manufacturing test development" ], "hardSkillsList" : [ "Electronics circuit diagrams" ], "hardSkills" : [ { "name" : "Electronics circuit diagrams", "level" : "intermediate" } ], "majorSkills" : "Manufacturing test", "majorSkillsList" : [ "Manufacturing test" ], "coreResponsibilities" : "Serve as test lead, Ensure quality of test systems, Execute manufacturing test systems, Communicate technical information, Communicate status, Decompose complex problems, Develop test plans, Develop test-setup prototypes", "teamCollaboration" : "Cross-functional projects", "domainKnowledge" : "Consumer electronics manufacturing", "domainList" : [ "consumer-electronics-manufacturing" ], "domainSpecificKnowledge" : [ "Consumer electronics manufacturing" ], "communicationSkills" : "Technical information", "innovationCreativity" : "Innovate and solve problems; High ambiguity problems; High impact problems", "problemSolvingSkills" : "Solve challenging problems; Functionally decompose complex problems; Simple straight-forward solutions", "specialRequirements" : "Travel domestically, Travel internationally", "qualificationsBasic" : "Bachelors or Masters degree, Experience building production systems, Understand electronics circuit diagrams, Knowledge of software engineering practices, Experience in development lifecycle, Experienced shipping products, Travel required", "qualificationsPreferred" : "Advanced degree, Sharp analytical abilities, Proven design skills, Knowledgeable in statistics, Experience developing software, Design for security, Design for availability, Design for performance, Experience in Embedded Software Development", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Advanced Manufacturing Engineering Team is a team which disrupts manufacturing with latest technological solutions while digitizing assembly and now we are taking it to the next level. Amazon Lab126 is an inventive research and development company that designs and engineers high-profile consumer electronics. Lab126 began in 2004 as a subsidiary of Amazon.com, Inc., originally creating the best-selling Kindle family of products. Since then, we have produced groundbreaking devices like Fire tablets, Fire TV, Amazon Echo and Amazon Show. The Amazon Devices group delivers delightfully unique Amazon experiences, giving customers instant access to everything, digital or physical. Key job responsibilities As a Manufacturing Test Development Engineer intern, you’ll have a unique opportunity to shape the development and future of the AME Manufacturing Test team. You are data and metric driven, and obsessively concerned about performance under resource constrained environments. In this role you innovate and solve problems of high ambiguity and high impact. You will drive design choices, trade-offs, priorities and timelines. You will demonstrate exceptional communication skills and technical expertise to drive and influence manufacturing test development and execution. Joining the AME Manufacturing Test team gives you the opportunity to: • Work on existing and new groundbreaking devices • Solve challenging problems that will revolutionize manufacturing and test A day in the life The ideal candidate will have experience contributing to multiple simultaneous product development efforts. You’ll strive for simplicity, and demonstrate significant creativity and high judgment. As a Manufacturing Test Engineer at Amazon you’ll be expected to: • Serve as a test lead on our demanding, cross-functional projects with significant bottom-line impact. • Ensure the quality and execution of our manufacturing test systems • Proactively communicate technical information and status to broad, cross-functional teams • Functionally decompose complex problems into simple, straight-forward solutions. • Understand system inter-dependencies and limitations • Develop test plans and test-setup prototypes for new technologies About the team Highly skilled individuals working collaboratively to solve complex issues and coming up with new ways to improve the overall product design testing in order to delight our customers. Basic Qualifications: - Bachelors or Masters degree in Computer Science, Engineering, or a related field - Experience building and operating production systems with at least one modern language - Understand and read electronics circuit diagrams and schematics - Knowledge of full life-cycle software engineering practices including coding standards, testing, source control management, and operations - Experience in development lifecycle processes and best practices. - Experienced shipping products. - Travel domestically and internationally as required Preferred Qualifications: - Advanced degree in Computer Science, Engineering, or a related field - Sharp analytical abilities and proven design skills. - Knowledgeable in statistics - Experience developing software and an understanding of design for security, availability, and performance. - Experience in Embedded Software Development Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Manufacturing Test Engr Intern at Amazon Corporate Services Vietnam Company Limited. Skills: Manufacturing test. Serve as test lead. Ensure quality of test systems", "postedDate" : "2026-06-13T08:58:24.266", "createdAt" : "2026-06-13T08:58:24.266", "lastUpdated" : "2026-06-15T04:12:40.596", "ingestTimestamp" : "2026-06-13T08:58:24.266", "mongoId" : "68dd1eeace260f92cbea0c2d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3098698/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Electronics circuit diagrams", "Manufacturing test", "Manufacturing test development", "Consumer electronics manufacturing" ], "skillCount" : 4, "jobCategory" : "other", "dataQualityScore" : 0.8888889, "_score" : 676.7714, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a3061d9f292fd229cf97fc1", "title" : "Process Quality Technician", "company" : "Vericast", "industry" : "Marketing And Advertising", "salary" : { "min" : 18.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Salt Lake City, UT, United States", "locations" : [ "Salt Lake City", "UT", "United States" ], "timestamp" : "2026-06-16T09:23:23.956", "fingerprint" : "85b53a44131c2e61d1f47935e9018c37baf03b706767ac664e09664f3de6b422", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Vericast/744000132246989-process-quality-technician-i-mon-fri-8a-4p-", "externalId" : "744000132246989", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Salt Lake City", "state" : "Utah", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7596198,-111.8867970" } ], "locationText" : "Salt Lake City, Utah, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "professionalSkills" : [ "Quality control", "Process improvement", "Data analysis" ], "hardSkillsList" : [ "Quality inspection", "Root cause analysis", "Documentation" ], "hardSkills" : [ { "name" : "Quality inspection", "level" : "intermediate" }, { "name" : "Root cause analysis", "level" : "intermediate" }, { "name" : "Documentation", "level" : "intermediate" } ], "majorSkills" : "Quality control, Process improvement", "majorSkillsList" : [ "Quality control", "Process improvement" ], "coreResponsibilities" : "Perform quality inspections on incoming materials, Monitor production processes for quality compliance, Identify and document non-conforming products, Assist in root cause analysis of quality issues, Participate in continuous improvement initiatives, Maintain quality records and documentation, Collaborate with production and engineering teams", "teamCollaboration" : "Production teams; Engineering teams", "domainKnowledge" : "Manufacturing processes; Quality control processes", "domainList" : [ "manufacturing-processes", "quality-control-processes" ], "domainSpecificKnowledge" : [ "Manufacturing processes", "Quality control processes" ], "toolProficiency" : [ "Microsoft Office Suite", "Quality management software" ], "documentationSkills" : "Quality records; Process documentation", "problemSolvingSkills" : "Root cause analysis", "outcomesObjectives" : "Ensure product quality standards; Reduce defects; Improve process efficiency", "qualificationsBasic" : "High school diploma or GED, 2 years of experience in a quality role, Experience with quality control processes, Experience with manufacturing processes", "qualificationsPreferred" : "Associate's degree in a related field, Experience with statistical process control (SPC), Knowledge of Lean Manufacturing principles", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Vericast is the financial institution (FI) performance partner. We help banks and credit unions drive growth, improve efficiency, increase engagement and navigate change through the power of data, technology and people. Our advanced analytics, data-driven insights and integrated solution set enable better execution with agility, precision and scale. That’s why thousands of financial institutions look to Vericast and our 150 years of financial services expertise to help them achieve more. For more information, visit [http://www.vericast.com](http://www.vericast.com/) or follow Vericast on [LinkedIn](https://www.linkedin.com/company/vericastmarketing/) . Process Quality Technician I - * Hourly Pay Rate: $18.00+ DOE + $0.50/hr wage increase eligible after 90 days * Hours: Monday -Friday 8:00am - 4:00pm * Paid Break and Lunch The Process Quality Technician is responsible for supporting the quality group & the teams in the production environment along with using troubleshooting techniques to solve PQ related issues. KEY DUTIES & RESPONSIBILITIES * Required to perform Print, Bindery, Packaging, & Mailroom audits and inspections as outlined in training materials. * Inspect problem runs, perform equipment quality tests, such as motion quality, signal strength, and MICR sampling. * Evaluate and count spoilage. * Support production teams on quality questions. * Produce and process samples for QCS. * Conduct research and root cause analysis. * Attend daily Team Business Meetings (huddles) as the quality resource. * Other duties as assigned. * Research and identify late work. * Run ready to sort reports. EQUIPMENT & SOFTWARE UTILIZED * Computer, keyboard, and mouse * Experience using MS Office ## Qualifications KNOWLEDGE / SKILLS / ABILITIES * Must have good typing skills * Willingness to train with desire to increase knowledge of quality duties * Strong technical and computer knowledge * Attention to detail * Ability to handle confidential information COMMUNICATION &CONTACTS * Excellent communication skills both written and verbal * Must be able to effectively communicate with QCS, Account Managers, and Priority One Managers * Frequently interacts with employees on work team by sharing information both out on the floor and in Team Business Meetings. DECISION MAKING * Ability to make fact based decisions with shift Team Leader PHYSICAL REQUIREMENTS * Include bending, walking, standing and kneeling 8-10 hours a day and lifting up to 20 lbs on occasion. ## Additional Information Applications will be accepted until the posted deadline Monday July 13th, 2026 or until a sufficient candidate pool has been identified. Vericast offers a year-round TEMPERATURE CONTROLLED, BRIGHT, CLEAN manufacturing printing team-based environment. The ultimate compensation offered for the position will depend upon several factors such as skill level, cost of living, experience, and responsibilities Vericast offers a generous total rewards benefits package that includes medical, dental and vision coverage, 401K and generous PTO allowance. A wide variety of additional benefits like life insurance, employee assistance and pet insurance are also available, not to mention smart and friendly coworkers. At Vericast, we don’t just accept differences - we celebrate them, we support them, and we thrive on them for the benefit of our employees, our clients, and our community. As an Equal Opportunity employer, Vericast considers applicants for all positions without regard to race, color, creed, religion, national origin or ancestry, sex, sexual orientation, gender identity, age, disability, genetic information, veteran status, or any other classifications protected by law. Applicants who have disabilities may request that accommodations be made in order to complete the selection process by contacting our Talent Acquisition team at [talentacquisition@vericast.com](mailto:talentacquisition@vericast.com). EEO is the law. To review your rights under Equal Employment Opportunity please visit: [www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf](http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf) #LI-SM1 #LI-Onsite", "summaryDescription" : "Process Quality Technician at Vericast. Skills: Quality control, Process improvement. Perform quality inspections on incoming materials. Monitor production processes for quality compliance", "postedDate" : "2026-06-15T16:40:46.000", "createdAt" : "2026-06-15T23:49:56.407", "lastUpdated" : "2026-06-16T09:23:23.956", "ingestTimestamp" : "2026-06-15T23:49:56.407", "mongoId" : "6a3061d9f292fd229cf97fc1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 37440, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Quality inspection", "Root cause analysis", "Documentation", "Quality control", "Process improvement", "Data analysis", "Manufacturing processes", "Quality control processes", "Microsoft Office Suite", "Quality management software" ], "skillCount" : 10, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "_score" : 675.31, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.95 }, { "id" : "6a21ad3674d8ee00a0cc253f", "title" : "Product Quality Engineer, Robotics Manufacturing and Technical Operations", "company" : "Amazon.com Services LLC", "industry" : "Hardware Development, subsidiaries", "salary" : { "min" : 96000.0, "max" : 160000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Westboro, Wisconsin, USA", "locations" : [ "Westboro, Wisconsin, USA" ], "certifications" : [ "Six Sigma Green Belt", "Six Sigma Black Belt" ], "timestamp" : "2026-06-16T02:47:51.761", "fingerprint" : "032e8302a5da2d4f3f7e078a3e07aed96097c689f30dbc8283b9c12065684f84", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10439936/apply", "externalId" : "60bc3cdc-cee4-4bc0-ab9c-27b2b1d1ea79", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Westboro", "state" : "Wisconsin", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "45.3535698,-90.2967575" } ], "locationText" : "Westboro, Wisconsin, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Statistical analysis, Data analysis, Quality management systems, Root cause analysis, Statistical process control", "professionalSkills" : [ "Problem solving", "Analytical thinking", "Process improvement" ], "hardSkillsList" : [ "Quality engineering", "Statistical analysis", "Process control", "Root cause analysis" ], "hardSkills" : [ { "name" : "Quality engineering", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Process control", "level" : "intermediate" }, { "name" : "Root cause analysis", "level" : "intermediate" } ], "majorSkills" : "Quality engineering, Robotics manufacturing, Statistical process control", "majorSkillsList" : [ "Quality engineering", "Robotics manufacturing", "Statistical process control" ], "coreResponsibilities" : "Develop and implement quality control processes, Monitor manufacturing processes, Analyze quality data, Identify and resolve quality issues, Conduct root cause analysis, Implement corrective and preventive actions, Support product development lifecycle, Ensure compliance with quality standards, Collaborate with cross-functional teams, Prepare quality reports", "teamCollaboration" : "Cross-functional teams; Manufacturing operations; Engineering teams", "projectManagementSkills" : [ "Project planning", "Risk management" ], "domainKnowledge" : "Robotics manufacturing; Quality management systems; Statistical process control; Root cause analysis", "domainList" : [ "robotics-manufacturing", "quality-management-systems", "statistical-process-control", "root-cause-analysis" ], "domainSpecificKnowledge" : [ "Robotics manufacturing", "Quality management systems", "Statistical process control", "Root cause analysis" ], "toolProficiency" : [ "JIRA", "Confluence", "Minitab" ], "communicationSkills" : "Technical reports; Presentations", "documentationSkills" : "Quality documentation; Process documentation", "problemSolvingSkills" : "Root cause analysis; Troubleshooting; Data analysis", "outcomesObjectives" : "Improve product quality; Reduce manufacturing defects; Ensure compliance", "qualificationsBasic" : "Bachelor's degree or equivalent practical experience, 5+ years of experience in quality engineering, Experience with quality management systems, Experience with statistical process control (SPC), Experience with root cause analysis (RCA)", "qualificationsPreferred" : "Master's degree in a relevant field, Experience with robotics manufacturing, Experience with ISO 9001, Experience with Six Sigma methodologies, Experience with data analysis tools", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Is your passion inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work affects the bigger picture? Answer yes to any of these and you will fit right in here at Amazon Robotics. We are a smart team of doers that work passionately to apply innovative advances in robotics and software to solve real-world challenges that will transform our customers’ experiences in ways we cannot even image yet. We invent new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling and fun. The Amazon Robotics (AR) Operations organization manufactures high-quality robotics deployed across Amazon. It’s an operation that works cross-functionally with teams across Amazon globally. Quality Engineering team is a multi-disciplinary technical organization that is responsible for Quality Engineering and Quality Systems Management across our Global Enterprise. We are seeking a talented and motivated Quality Engineer with a passion to support an advanced manufacturing line and driving quality improvements. This role will report to Product Quality Engineering within the Robotics Manufacturing and Technical Operations organization. Key job responsibilities - Actively support and foster a culture of inclusion - Production Floor Support - Develop standard failure diagnostic decision trees and train peer departments on supporting processes. - Identify quality trends, escalate, and lead investigations - Provide regular updates on quality investigations to stakeholders - Communicate internal production defects and trends to suppliers - Support Field Quality requests for production data - Non-conforming Material Processes - Technical review and disposition of non-conforming material - Ensure timely non-conforming material processing - Act as a back-up for incoming inspection as needed to protect production line from discrepant material - Data Collection/Presentation and Continuous Improvement Projects - Present weekly quality data to peer teams - Perform data collection and visualization - Travel estimated at 20% A day in the life Our value for our customers is to be the expert “problem solvers” of the organization (those that have been identified as well as those which can become a problem in the future). We are the single point of contact to identify and determine the root cause of issues experienced now or in the future across all programs and facilitate systematic improvements that enable customer satisfaction through speed and flexibility of factory improvements. As the “owners” of the data, we are uniquely situated to identify and communicate the impact of poor quality on our customers. T About the team The mission of the Product Quality Engineering team is to drive product excellence through innovative quality engineering solutions, leveraging proactive systems and data-driven approaches to ensure zero-defect manufacturing, seamless design integration, and superior customer satisfaction. Basic Qualifications: - 2+ years of hardware design and validation of components, subsystems and systems experience - Bachelor's degree in mechanical engineering, electrical engineering, material science, physics or equivalent Preferred Qualifications: - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - Experience with hardware/software integration and real-time systems Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, MA, Westboro - 96,600.00 - 160,000.00 USD annually", "summaryDescription" : "Product Quality Engineer, Robotics Manufacturing and Technical Operations at Amazon.com Services LLC. Skills: Quality engineering, Robotics manufacturing, Statistical process control. Develop and implement quality control processes. Monitor manufacturing processes", "postedDate" : "2026-06-14T20:21:12.626", "createdAt" : "2026-06-14T20:21:12.626", "lastUpdated" : "2026-06-16T02:47:51.761", "ingestTimestamp" : "2026-06-14T20:21:12.626", "mongoId" : "6a21ad3674d8ee00a0cc253f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10439936/apply", "salaryAnnualMin" : 96000, "salaryAnnualMax" : 160000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Quality engineering", "Statistical analysis", "Process control", "Root cause analysis", "Robotics manufacturing", "Statistical process control", "Problem solving", "Analytical thinking", "Process improvement", "Project planning", "Risk management", "Quality management systems", "Six Sigma Green Belt", "Six Sigma Black Belt", "JIRA", "Confluence", "Minitab" ], "skillCount" : 17, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "_score" : 671.3209, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "69fc497c4c40e2acd1a81beb", "title" : "Intern Support Technician", "company" : "TxDOT", "industry" : "Government", "salary" : { "min" : 25000.0, "max" : 35000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level, part-time Intern Support Technician in San Antonio, TX, adjusted for the government industry." }, "location" : "UST-Texas-San Antonio-San Antonio District Hdqtrs", "locations" : [ "UST-Texas-San Antonio-San Antonio District Hdqtrs", "Hourly", "Nonexempt,
San Antonio District Hdqtrs (15DISTHQ)
4615 NW LOOP 410
San Antonio, 782290928

, San Antonio District Hdqtrs" ], "timestamp" : "2026-06-15T21:48:57.825", "fingerprint" : "0d6adc25f969f87cccb60974ac0b02b607c24903861f97f277fe9929aa921067", "source" : "taleo", "language" : "en", "applyUrl" : "https://fa009.taleo.net/careersection/ex/jobdetail.ftl?job=44298", "externalId" : "44298", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Antonio", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "29.4246002,-98.4951405" } ], "locationText" : "San Antonio, Texas, United States", "employmentType" : "PART_TIME", "minimumEducation" : "High School", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "coreResponsibilities" : "Provide administrative support, Assist with administrative tasks", "qualificationsBasic" : "16 years old, U. S. Citizen or eligible to work, Currently enrolled student", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Attention High School and College Students! Are you looking to gain valuable hands-on experience and explore career opportunities in public service? TxDOT is now hiring Interns to provide entry-level administrative support in San Antonio and surrounding areas. This part-time position is perfect for students eager to learn, contribute, and grow. As an intern, you’ll assist with a variety of administrative tasks while working under close supervision and clear guidance—giving you the chance to develop real-world skills in a professional environment. If you're dependable, detail-oriented, and ready to start building your career, we encourage you to apply today! To qualify, students must: Must be 16 years old Be a U.S. Citizen or be eligible to work in the U.S. Be currently enrolled as a student at a high school, technical school, college or university 32,332.00 47,355.00", "summaryDescription" : "Intern Support Technician at TxDOT. Provide administrative support. Assist with administrative tasks", "createdAt" : "2026-06-14T21:52:31.534", "lastUpdated" : "2026-06-15T21:48:57.825", "ingestTimestamp" : "2026-06-14T21:52:31.534", "mongoId" : "69fc497c4c40e2acd1a81beb", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 25000, "salaryAnnualMax" : 35000, "salaryBand" : "<30k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "_score" : 667.8092, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3055a1f292fd229cf20673", "title" : "Process Mining Data Engineer", "company" : "Celonis", "industry" : "Technology", "salary" : { "min" : 160000.0, "max" : 240000.0, "currency" : "PLN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Process Mining Data Engineer in Poland, adjusted for the technology industry and company size." }, "location" : "Poland", "locations" : [ "Poland" ], "timestamp" : "2026-06-16T12:43:15.521", "fingerprint" : "0ead4df6c40d982df6495bf942d727262b5f232041ba26c4754a39ebb7813676", "source" : "workday", "language" : "en", "applyUrl" : "https://huntsman.wd1.myworkdayjobs.com/Huntsman/job/Poland---Krakow/Process-Mining-Data-Engineer_J-019770", "externalId" : "J-019770", "industryFunction" : { }, "locationPoint" : "51.9194,19.1451", "structuredLocations" : [ { "country" : "Poland", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Poland", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "SQL, Celonis EPM, Object-Centric Process Mining, PQL", "professionalSkills" : [ "Process mining development", "Data modeling", "Data extraction", "Data transformation", "Data validation", "Data analysis" ], "hardSkillsList" : [ "Process mining", "Data analytics" ], "hardSkills" : [ { "name" : "Process mining", "level" : "intermediate" }, { "name" : "Data analytics", "level" : "intermediate" } ], "majorSkills" : "Celonis Process Mining, SQL, Data modeling", "majorSkillsList" : [ "Celonis Process Mining", "SQL", "Data modeling" ], "coreResponsibilities" : "Execute process mining development and engineering activities, Translate business requirements into Celonis solutions, Build and maintain end-to-end process data models, Enable new process data sets, Enhance or update existing data sources, Extract, transform, validate, and analyze data, Support data quality checks, Ensure consistency of process logic, Collaborate with business and functional stakeholders, Clarify requirements, Validate assumptions, Refine solutions, Apply Celonis best practices, Contribute to technical documentation, Develop reusable components, Improve platform continuously, Stay up to date with Celonis capabilities, Explore automation opportunities, Explore execution use cases, Explore AI-enabled insights, Explore Copilot-supported capabilities", "teamCollaboration" : "Global business teams; Functional teams; Global process mining lead; Supply Chain; Order-to-Cash; Procure-to-Pay", "domainKnowledge" : "Process mining; Enterprise Process Mining; SAP tables", "domainList" : [ "process-mining", "enterprise-process-mining", "sap-tables" ], "domainSpecificKnowledge" : [ "Process mining", "Enterprise Process Mining", "SAP tables" ], "toolProficiency" : [ "Celonis EPM", "SAP" ], "documentationSkills" : "Technical documentation", "continuousLearning" : "Staying up to date with Celonis capabilities and emerging features", "innovationCreativity" : "Automation; Execution use cases; AI-enabled insights; Copilot-supported capabilities", "problemSolvingSkills" : "Analytical mindset", "outcomesObjectives" : "Enable end-to-end process transparency; Standardize insights; Enable execution-oriented use cases", "qualificationsBasic" : "Bachelor’s degree or Master’s degree in Computer Science, Data Engineering, Information Systems, Engineering, or a related technical field, or equivalent practical experience in process mining or data analytics, Hands-on experience with Celonis Process Mining, including Object-Centric Process Mining (OCPM), PQL, and Celonis data modeling concepts, SQL skills with practical experience in data extraction, transformation, validation, and analysis, Fluent English", "qualificationsPreferred" : "Experience working with SAP, including exposure to SAP tables is a plus, Experience in automation, AI-enabled analytics, or Copilot-supported solution", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "**Job Description** : **_Role Overview:_ ** The **Process Mining Data Engineer** will be responsible for building and maintaining scalable process mining solutions within the **Celonis Enterprise Process Mining (EPM)** environment. This role supports the expansion of process mining capabilities across the organization by enabling end‑to‑end process transparency, standardized insights, and execution‑oriented use cases. Working under the direction of the **Global Process Mining Lead** , the role translates pre‑approved, prioritized business requirements into robust and high‑quality Celonis assets. Collaboration with global business and functional teams is key to ensure solutions are reliable, performant, and aligned to enterprise standards. **Do you think you’re the right fit for this opportunity? Apply today!** ** _Role Responsibilities:_ ** **As a ****Process Mining Data Engineer****, you will be responsible for:** * Executing process mining development and engineering activities under the direction of the **Global Process Mining Lead** * Translating approved business requirements into scalable Celonis solutions, including applications, analyses, dashboards, alerts, action and approval flows, email automations, and write‑backs * Building and maintaining end‑to‑end process data models within Celonis EPM * Enabling new process data sets and enhancing or updating existing data sources already loaded into Celonis * Using SQL to extract, transform, validate, and analyze data from source systems * Supporting data quality checks and ensuring consistency of process logic across use cases * Collaborating closely with business and functional stakeholders (e.g. Supply Chain, Order‑to‑Cash, Procure‑to‑Pay) to clarify requirements, validate assumptions, and refine solutions * Applying Celonis best practices and enterprise standards * Contributing to technical documentation, reusable components, and continuous platform improvements * Staying up to date with Celonis capabilities and emerging features * Exploring opportunities related to automation, execution use cases, AI‑enabled insights, and Copilot‑supported capabilities (optional / emerging) ** _Experience and Competencies:_ ** **What we are looking for:** * Bachelor’s degree or Master’s degree in Computer Science, Data Engineering, Information Systems, Engineering, or a related technical field, or equivalent practical experience in process mining or data analytics * Hands‑on experience with Celonis Process Mining, including Object‑Centric Process Mining (OCPM), PQL, and Celonis data modeling concepts * Strong SQL skills with practical experience in data extraction, transformation, validation, and analysis * Fluent English with the ability to work effectively in a global, multicultural environment * Strong analytical mindset with high attention to detail * Experience working with SAP, including exposure to SAP tables is a strong plus * Experience in automation, AI‑enabled analytics, or Copilot‑supported solution **What next?** If you would like to join an innovative, collaborative and multicultural team, please apply now. Your application will be forwarded to a Talent Acquisition Partner, who will strive to get back to you as soon as they can. We understand that applying for a new job is a big decision and we will work hard to keep you updated and support you along the way. ** _About Us:_ ** At Huntsman, we pride ourselves on being a people-oriented organization. Our family-like atmosphere is cultivated by our diverse groups of team members around the world. We welcome the talent, experience and fresh ideas that employees at all stages of their careers, from interns to seasoned professionals, bring to Huntsman. In return, we offer you the opportunity to become an integral part of a dynamic, industry-leading company, where safety and ethics always come first. **Additional Locations:**", "summaryDescription" : "Process Mining Data Engineer at Celonis. Skills: Celonis Process Mining, SQL, Data modeling. Execute process mining development and engineering activities. 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Hou District Headquartrs (12DISTHQ-1)
7600 WASHINGTON AVENUE
Houston, 77007

North Harris County Ae/Maint (12NHARRSCO)
16803 EASTEX FREEWAY
Humble, 77347

Southeast Harris County Ae (12SHARRSCO)
702 FM 1959
Houston, 77034

Fort Bend County Ae/Maint (12FTBENDCO)
4235 SH 36
Rosenberg, 77471

Hou Dist Office (6810) Complex (12DISTHQ-2)
6810 OLD KATY ROAD
Houston, 77024

West Harris Co Ae/Maint (12WHARRSCO)
14838 NORTHWEST FREEWAY
Houston, 77040

Galveston County Ae/Maint (12GALVSTCO)
5407 GULF FREEWAY
La Marque, 77568

Brazoria Areaengr/S.Braz Maint (12BRAZRCO)
18671 FM 523
Angleton, 77515

Montgomery County Ae/Maint (12MONTGYCO)
901 N FM 3083
Conroe, 77303

Houston Transtar (12DISTHQ-3)
6922 OLD KATY ROAD
Houston, 77024

, Hou District Headquartrs" ], "timestamp" : "2026-06-16T00:15:39.489", "fingerprint" : "c7b53ffe0845d4747c47c0aae946a52d800cd13608582ce77d90f0cc56551262", "source" : "taleo", "language" : "en", "applyUrl" : "https://fa009.taleo.net/careersection/ex/jobdetail.ftl?job=42583", "externalId" : "42583", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "United States", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "coreResponsibilities" : "Gain paid hands-on experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "TxDOT's Houston District has job openings for Intern Support Techs at various offices across the Houston Metro Area . Our Summer Employment Program provides current high school and college students the opportunity to gain valuable paid hands-on experience. At TxDOT, you will join a great workforce that is passionate about their careers. You have nothing to lose and lots to gain such as invaluable work experience that can carry you into the future. These positions are for the following locations: -Houston Dist. HQ : 7600 Washington Ave., Houston, TX 77007 -W. Harris: 14838 Northwest Freeway, Houston, TX 77040 -S. Harris : 702 FM 1959, Houston, TC 77037 -N. North Harris: 16803 Eastex Freeway, Humble, TX 77347 -Brazoria: 18671 FM 523, Angleton, TX 77515 -Fort Bend: 4235 SH 36, Rosenberg, TX 77471 -Galveston: 5407 Gulf Freeway, La Marque, TX 77568 -Montgomery: 901 N FM 3038, Conroe, TX 77303 -Waller: 400 FM 1488, Hempstead, TX 77445 20.88 20.88", "summaryDescription" : "Intern Support Technician at TxDOT. Gain paid hands-on experience", "createdAt" : "2026-06-14T19:53:31.539", "lastUpdated" : "2026-06-16T00:15:39.489", "ingestTimestamp" : "2026-06-14T19:53:31.539", "mongoId" : "696082680937eae70e9c8ad5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 35000, "salaryAnnualMax" : 45000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "_score" : 665.63525, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "69dde4492beec4dd3d9a3342", "title" : "Intern Support Technician", "company" : "TxDOT", "industry" : "Government", "salary" : { "min" : 20.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "UST-Texas-Bryan-Bryan District Headquarters", "locations" : [ "UST-Texas-Bryan-Bryan District Headquarters", "Hourly", "Nonexempt,
Bryan District Headquarters (17DISTHQ)
2591 NORTH EARL RUDDER FREEWAY
Bryan, 77803

, Bryan District Headquarters" ], "timestamp" : "2026-06-16T00:41:26.463", "fingerprint" : "434bcc324f8c299494f743af8ecfde67065f406fa8d23a749485ae6745704877", "source" : "taleo", "language" : "en", "applyUrl" : "https://fa009.taleo.net/careersection/ex/jobdetail.ftl?job=43350", "externalId" : "43350", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bryan", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.6743643,-96.3699632" } ], "locationText" : "Bryan, Texas, United States", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "coreResponsibilities" : "Gain valuable experience, Further development as engineer", "continuousLearning" : "Expand knowledge acquired from school", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "TxDOT urges students to stop their summer or year round internship search and focus on TxDOT’s Career pages! Annually, over 500 College and High School students from across Texas and beyond select the Texas Department of Transportation, (TxDOT) as their employer of choice. For them, it’s a dream come true, a coveted accomplishment. Did you know that members of our Executive Leadership team, including our Executive Director, were interns at TxDOT? A paid internship is a great opportunity to: explore what TxDOT has to offer to the citizens of Texas, expand your knowledge acquired from school, and possibly serve as a gateway to future job opportunities with the agency. It is no surprise that many students choose to come back to TxDOT year-after-year to rejoin our team. At TxDOT, you will join a workforce that is passionate about their careers. You have nothing to lose and lots to gain such as invaluable work experience that can carry you into the future. Make the choice and join TxDOT for your brighter tomorrow today. Join the Bryan District this year to gain valuable experience and further your development as an engineer with real world exposure. Salary Group: A11: Year Round Support Tech Intern : $ 20.50 /hr 20.50 20.50", "summaryDescription" : "Intern Support Technician at TxDOT. Gain valuable experience. Further development as engineer", "createdAt" : "2026-06-14T19:16:08.915", "lastUpdated" : "2026-06-16T00:41:26.463", "ingestTimestamp" : "2026-06-14T19:16:08.915", "mongoId" : "69dde4492beec4dd3d9a3342", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 41600, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "_score" : 661.78876, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.9 }, { "id" : "6a2c8cef74d8ee00a0977add", "title" : "Harness Manufacturing Technician", "company" : "ICEYE", "industry" : "Engineering", "salary" : { "min" : 31500.0, "max" : 42000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Junior Harness Manufacturing Technician in Espoo, Finland, adjusted for the technology industry and company size." }, "location" : "Espoo", "locations" : [ "Espoo" ], "certifications" : [ "IPC/WHMA-A-620 certification" ], "timestamp" : "2026-06-15T03:25:56.215", "fingerprint" : "4579bb53a9ff9f48aa812d456953576fffddd89151229a681db2b4988f9088d7", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/iceye/945f6b59-8d2b-4bee-92e8-ac3d000d5fa9/application", "externalId" : "945f6b59-8d2b-4bee-92e8-ac3d000d5fa9", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Espoo", "country" : "Finland", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "60.2049651,24.6559808" } ], "locationText" : "Espoo, Finland", "employmentType" : "FULL_TIME", "technicalSkills" : "Soldering, Crimping, Wire stripping, Connector assembly", "professionalSkills" : [ "Manufacturing", "Quality control" ], "hardSkillsList" : [ "Electrical testing", "Continuity checks" ], "softSkillsList" : [ "Desire to learn" ], "hardSkills" : [ { "name" : "Electrical testing", "level" : "intermediate" }, { "name" : "Continuity checks", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Desire to learn" } ], "majorSkills" : "Harness manufacturing, Cable assembly", "majorSkillsList" : [ "Harness manufacturing", "Cable assembly" ], "coreResponsibilities" : "Manufacture harnesses, Evaluate manufacturability, Provide feedback to designers, Assemble wiring harnesses, Install wiring harnesses, Handle wires with precision, Prepare documentation, Maintain traveler sheets, Maintain quality records, Assist in troubleshooting, Assist in rework, Perform inspections, Perform continuity checks, Perform electrical tests, Train new joiners, Train colleagues, Follow cleanroom procedures, Follow ESD procedures, Apply workmanship standards", "teamCollaboration" : "R&D Satellite Build; Lab Maintenance Team", "domainKnowledge" : "Satellite systems; IPC/WHMA-A-620", "domainList" : [ "satellite-systems", "ipc-whma-a-620" ], "domainSpecificKnowledge" : [ "Satellite systems", "IPC/WHMA-A-620" ], "toolProficiency" : [ "Jira Software" ], "documentationSkills" : "Prepare documentation; Maintain records", "continuousLearning" : "Professional development; Training opportunities", "problemSolvingSkills" : "Troubleshooting; Rework", "specialRequirements" : "Security screening, SUPO screening", "qualificationsBasic" : "Bachelor degree, +2 years manufacturing experience, Electronics assembling experience, Harnesses manufacturing experience, Experience in soldering, Ability to read drawings, Fluency in English", "qualificationsPreferred" : "Space harness assembly experience, Aerospace harness assembly experience, Defense harness assembly experience, Coaxial cable assembly familiarity, Shielded cable assembly familiarity, Experience in Jira Software", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "ROLE HIGHLIGHTS: - Harness Manufacturing Technician - Location: Espoo, Finland - Department: Spacecraft Hardware - Reports to: R&D Satellite Build & Lab Maintenance Team Lead - Employment type: Permanent - Workplace model: Office - Employment is subject to applicable security screening (incl. SUPO) WHY THIS ROLE MATTERS: The Harness Manufacturing Technician role is critical to the success of both our ground testing infrastructure and next-generation satellites. By manufacturing high-quality harnesses and evaluating the manufacturability of new cable designs, this role helps ensure reliability, efficiency, and continuous improvement throughout the product development cycle. Cables are the vital interfaces that connect every subsystem, enabling communication, power distribution, and seamless operation across the satellite. As the threads that bring complex systems to life, every harness built contributes directly to mission success. WHO WE ARE ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth. ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system. ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future. Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific. YOUR DAY-TO-DAY RESPONSIBILITIES - Harness manufacturing for testing setups or satellites - Evaluate manufacturability of harness designs and provide feedback to designers - Assemble and install wiring harnesses and cable assemblies for satellite systems according to drawings and work instructions. - Handle wires, connectors, shielding, and protective coverings with precision and care. - Prepare and maintain documentation, traveler sheets, and quality records. - Assist in troubleshooting and rework of harness assemblies under supervision. - Perform inspections, continuity checks, and basic electrical tests on harness assemblies. - Train new joiners and colleagues in harness manufacturing - Follow cleanroom and ESD handling procedures. - Apply workmanship and quality standards (especially IPC/WHMA-A-620). WHAT WE’RE LOOKING FOR Must haves: - Bachelor degree - +2 years Hands-on manufacturing experience with electronics assembling and harnesses manufacturing - Experience in soldering - Familiarity with crimping, soldering, wire stripping, lacing, and connector assembly. - Ability to read and interpret assembly drawings, wiring tables, and work instructions. - Basic knowledge of workmanship standards such as IPC/WHMA-A-620 - Fluency in English - A positive attitude and a desire to learn new things Nice to haves: - Previous experience in space, aerospace, or defense harness assembly. - Familiarity with coaxial or shielded cable assembly. - Exposure to harness testing tools (continuity testers, pull test machines). - Experience in Jira Software - IPC/WHMA-A-620 certification (CIS or CIT). APPLICATION PROCESS - Recruiter screening - Hiring manager interview - Practical on-site technical evaluation - Domain manager / Director interview WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.", "summaryDescription" : "Harness Manufacturing Technician at ICEYE. Skills: Harness manufacturing, Cable assembly. Manufacture harnesses. 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El Paso District Headquarters (24DISTHQ)
13301 GATEWAY BLVD WEST
El Paso, 79928

E El Paso Area Eng/Maint Sec (24E-ELPASO)
1430 JOE BATTLE BLVD
El Paso, 79936

W El Paso Area Eng/Maint Sec (24W-ELPASO)
4201 HONDO PASS DR
El Paso, 79904

, El Paso District Headquarters" ], "timestamp" : "2026-06-16T02:53:32.357", "fingerprint" : "ba4e82844253590fa0583dddcdc1a1b25f5068a9832109d554ae6bd067d366b3", "source" : "taleo", "language" : "en", "applyUrl" : "https://fa009.taleo.net/careersection/ex/jobdetail.ftl?job=43945", "externalId" : "43945", "industryFunction" : { }, "structuredLocations" : [ { "state" : "Texas", "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "Texas, United States", "employmentType" : "INTERNSHIP", "minimumEducation" : "High School", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "coreResponsibilities" : "Assist offices in daily operations, Provide administrative support, Provide office support", "qualificationsBasic" : "At least 16 years old, U. S. Citizen or eligible to work, Enrolled in high school or higher education", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Attention Students! TxDOT's El Paso District is looking for eager and motivated part-time employees to join our El Paso District as a support intern at office locations in El Paso County. This internship position will assist our offices in their daily operations with administrative and office support work. This is a great part time, entry-level position that can help you gain valuable experience to help jump start your career. Apply today! To qualify, students must be: - At least 16 years old; - A U.S. Citizen or be eligible to work in the U.S.; - Currently enrolled in high school or enrolled in at least 9 hours in any institution of higher education to include a trade/vocational school. Apply today for this great opportunity! Salary Range: Intern Engineering Support - A11 - $21.44 21.44 21.44", "summaryDescription" : "Intern Support Technician at TxDOT. Assist offices in daily operations. Provide administrative support", "createdAt" : "2026-06-14T19:16:42.838", "lastUpdated" : "2026-06-16T02:53:32.357", "ingestTimestamp" : "2026-06-14T19:16:42.838", "mongoId" : "69dde4492beec4dd3d9a329c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 43680, "salaryAnnualMax" : 43680, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "_score" : 660.68225, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.92 } ], "status" : 200, "message" : "OK", "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 81897, "totalPages" : 1638, "hasNext" : true, "hasPrevious" : false } }

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