{"id":1520068,"url":"https://alion.io/job/micron-technology-intern-test-equipment-engineering","title":"Intern - Test Equipment Engineering","company":{"id":37,"name":"Micron Technology","domain":"micron.com","url":"https://alion.io/company/micron-technology","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":79,"open_postings":809,"ghost_share":0,"stale_share":0.845,"repost_share":0,"time_to_fill_p50_days":32,"computed_at":"2026-10-01T05:45:00Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"intern","employment_type":"internship","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["George Town, Malaysia"],"countries":["MY"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":8000,"max_usd":17000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":15},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-30T11:11:24Z","employer_posted_date":"2026-09-30","last_verified_at":"2026-10-01T08:21:07Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Our vision is to transform how the world uses information to enrich life for all.\nMicron 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.\nProject Title\nMMP PPJ (part per jam) performance tracker enhancement\nDescription\nThe current PPJ performance tracker requires significant manual effort to update and monitor performance data. The dashboard is not fully dynamic because it relies on data manually downloaded into Excel.\nThe tracking system that serves as the PPJ data source contains a large volume of information, making direct database retrieval difficult. As a result, engineers must manually download and update PPJ data.\nMMP also supports multiple product configurations across different test platforms, including SM3416/TW350HT and SM3316/TW322SM. Therefore, PPJ performance must be separated by test platform.\nPPJ alarm codes should also be used to identify faulty parts more effectively.\nScope\nAutomatically convert PPJ data into trend charts using PowerBI\nRetrieve data from the database and automatically generate trend charts. \nLink equipment IDs with the corresponding alarm codes. \nMap alarm codes to the associated faulty parts. \nSupporting Team\nMMP Site Test Equipment Engineering\nDeliverables\nData Extraction and PPJ Trend Chart - Develop an automated process to extract PPJ data from the source database and convert it into clear trend charts. This will reduce manual Excel updates, improve data consistency, and allow engineers to quickly monitor PPJ performance movement over time.\nFaulty Part Identification by Alarm Code - Establish a mapping between alarm codes, equipment IDs, and related faulty parts. This will help engineers identify recurring hardware-related issues faster and support more effective troubleshooting and corrective action.\nPower BI Dashboard Enhancement - Enhance the dashboard to display PPJ performance by test platform, DID, equipment, and alarm category. The improved dashboard will provide dynamic filtering, better visibility of performance gaps, and faster drill-down capability for engineering review.\nDocumentation and Adoption - Prepare user guidance, data refresh instructions, and maintenance documentation to support handover to Site Test Engineering users. This will ensure the tracker can be consistently used, maintained, and updated after deployment.\nStretch Goal:\nExtend the Phase 1 automation into a more dynamic PPJ monitoring solution by enabling deeper analysis by test platform, DID, equipment ID, and alarm category. The stretch goal is to move beyond basic trend visualization and provide engineers with faster root-cause screening capability, so recurring performance losses or faulty part patterns can be identified earlier.\nIf the data model is stable, additional enhancement can include automated refresh scheduling, exception highlighting for abnormal PPJ drops, and a summary view showing the top contributors impacting PPJ performance. This will help reduce dependency on manual review and improve response time during engineering investigations.\nRequirements\nEducation\nBachelor’s Degree in Electronics Engineering, Electrical Engineering, Computer Engineering, Data Science, Software Engineering, or a related discipline. \nCandidates with exposure to Artificial Intelligence, Data Analytics, Software Development, or Automation projects are preferred. \nTechnical Skills\nPython programming and automation scripting. \nData extraction, transformation, and consolidation. \nData analysis and visualization. \nDatabase fundamentals and structured data management. \nUnderstanding of SQL or similar data-querying methods. \nFamiliarity with Power BI or other dashboard development platforms. \nExperience with API integration, machine learning, or AI-assisted data extraction is an added advantage. \nAbout Micron Technology, Inc.\nWe are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich lifefor 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.\nTo learn more, please visit micron.com/careers\nAll qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.\nTo request assistance with the application process and/or for reasonable accommodations,please contact \nMicron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.\nMicron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.\nAI 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.\nFraud 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.","description_format":"text","description_chars":5859,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Enterprise Storage Systems","Semiconductor Manufacturing","Memory & Storage Chips"],"lifecycle":[{"event":"open","at":"2026-09-30T11:11:24Z"}],"liveness":{"score":70,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.695,"p_room":1,"age_days":0,"expected_fill_days":32,"reasons":["conf:8","stale_co","urgency","velocity","win:early","comp:junior,brand"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/micron-technology-intern-test-equipment-engineering","json_url":"https://alion.io/job/micron-technology-intern-test-equipment-engineering.json","meta":{"generated_at":"2026-10-01T10:56:55Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":2194,"day_limit":5000,"remaining_today":2806,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}