{"id":2226678,"url":"https://alion.io/job/texas-instruments-2026-q4-artificial-intelligence-intern","title":"2026 Q4 - Artificial Intelligence Intern","company":{"id":36400,"name":"Texas Instruments","domain":"ti.com","url":"https://alion.io/company/texas-instruments","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":75,"open_postings":99,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-12T06:55:09Z"}},"role":"Early Careers","role_family":"Early Careers","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":["Kuala Lumpur, Malaysia"],"countries":["MY"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":8000,"max_usd":15500,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":621},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Fine-tuning","optional":false}],"status":"live","first_seen_at":"2026-10-06T04:52:29Z","employer_posted_date":"2026-10-06","last_verified_at":"2026-10-12T23:20:22Z","board_verified":true,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"description":"Change the world. Love your job.\nAbout the job:\nAs an Interns in Smart Manufacturing Automation (SMA) and Automation team, you will support the team in driving automation and integration efforts across our manufacturing processes. We have several openings that will provides the opportunity to work closely with experienced engineers in real factory settings. You will be involved in hands-on projects related to system integration, automation flow design, and data analysis. Interns will gain exposure to Lights Off manufacturing concepts, system architecture development, and the transition from manual to automated operations.\nResponsibilities may include, but are not limited to:\nSupport Automation Engineers and Managers in implementing \"Lights Off\" processes at Wafer Bump (WB) and Die Bond (DB) operations \nAssist in equipment and system integration \nHelp with system setup and parameter fine-tuning \nSupport studies and analysis for converting manual processes to automated flows \nParticipate in automation pilot runs, monitor performance, and collect engineering data \nTrack progress and key project deliverables \nAssist in preparing engineering documentation and reports \nProvide hands-on engineering support where needed \nCollaborate with engineers in designing automation flow and hardware \nSupport in creating and improving system architecture for automation solutions rate with cross-functional teams and domain experts to identify opportunities for AI integration in workflows.\nMinimum Requirements:\nCurrently pursuing Master or Bachelor in Artificial Intelligence or Computer Science Engineering\nMinimum Cumulative 3.3/4.0 GPA \nNote: Please attach your university internship form (if applicable) and include your internship start and end dates in your resume when submitting your application\nPreferred Qualifications:\nDemonstrated strong analytical and problem-solving skills\nStrong verbal and written communication skills\nAbility to work in teams and collaborate effectively with people in different functions\nStrong time management skills that enable on-time project delivery\nDemonstrated ability to build strong, influential relationships\nAbility to work effectively in a fast-paced and rapidly changing environment\nAbility to take the initiative and drive for 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