{"id":3122646,"url":"https://alion.io/job/texas-instruments-smart-manufacturing-and-automation-intern","title":"Smart Manufacturing and Automation 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":172,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":22,"computed_at":"2026-10-26T05:57:25Z"}},"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":["Dallas, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":42000,"max_usd":70000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":408},"experience_years_min":null,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"AutoGPT","optional":true},{"name":"Claude","optional":true},{"name":"Copilot","optional":true},{"name":"CrewAI","optional":true},{"name":"Cursor","optional":true},{"name":"LangChain","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"Python","optional":true},{"name":"PyTorch","optional":true},{"name":"Scikit-learn","optional":true},{"name":"SQL","optional":true},{"name":"TensorFlow","optional":true}],"status":"live","first_seen_at":"2026-09-16T02:10:38Z","employer_posted_date":"2026-09-16","last_verified_at":"2026-10-26T19:38:59Z","board_verified":true,"closed_at":null,"days_open":40,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":40},"description":"Change the world. Love your job.\nTexas Instruments is seeking a Summer Intern for an exciting opportunity within our Smart Manufacturing and Automation (SMA) Quality & Test organization. As an SMA Intern, you will work on meaningful projects involving AI, machine learning, and workflow automation that are both challenging and impactful to the organization.\nThe SMA Quality & Test team drives manufacturing excellence across TI's global semiconductor operations through innovative test strategies, quality systems, and process automation. Our team leverages AI and machine learning technologies to optimize manufacturing workflows, enhance test coverage, and enable continuous improvement. As an AI/ML Automation Intern, you will develop intelligent automation solutions, build LLM-powered tools, and create data-driven systems that support manufacturing quality and test operations.\nIn this role, you'll have the chance to:\nDesign and develop AI-powered automation workflows using LLM platforms and agentic frameworks\nBuild data analytics dashboards and APIs that support manufacturing quality decisions\nCreate and refine prompt engineering solutions for manufacturing use cases\nCollaborate with cross-functional teams to identify automation opportunities and implement ML-driven solutions\nContribute to test automation frameworks that improve efficiency and reduce manual effort\nPut your talent to work with Texas Instruments!\nTexas Instruments will not sponsor job applicants for visas or work authorization for this position.\n Minimum Requirements:\nCurrently pursuing an undergraduate degree in Computer Science, Computer Engineering, Data Science, Electrical Engineering, or a related field\nCumulative GPA of 3.0/4.0 or higher\nPreferred Qualifications:\nProgramming experience in Python or a similar language\nExperience with AI code generation platforms (Claude, GitHub Copilot, Cursor) or LLM APIs\nFamiliarity with machine learning concepts and frameworks (PyTorch, TensorFlow, scikit-learn)\nExposure to agentic AI frameworks (LangChain, AutoGPT, CrewAI) or Model Context Protocol (MCP)\nData Science coursework\nProficiency in Python, SQL, or scripting languages for automation\nExperience with data visualization tools or dashboard development\nStrong analytical and problem-solving skills\nEffective verbal and written communication skills\nAbility to collaborate with people across different functions\nComfortable working in a fast-paced, dynamic environment\nSelf-motivated with a drive to deliver 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