{"id":1327049,"url":"https://alion.io/job/infineon-technologies-internship-industrial-engineering","title":"Internship - Industrial Engineering","company":{"id":51757,"name":"Infineon Technologies","domain":"infineon.com","url":"https://alion.io/company/infineon-technologies","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Eightfold","truth_index":{"grade":"B","score":80,"open_postings":116,"ghost_share":0,"stale_share":0.81,"repost_share":0,"time_to_fill_p50_days":41,"computed_at":"2026-09-29T05:45:00Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"intern","employment_type":"internship","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Singapore"],"countries":["SG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":17500,"max_usd":38000,"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":"Microsoft Office","optional":false},{"name":"NLP","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-08-05T07:00:15Z","employer_posted_date":"2026-08-11","last_verified_at":"2026-09-29T14:44:22Z","board_verified":true,"closed_at":null,"days_open":55,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":55},"description":"As a member of the Industrial Engineering Team, the Intern will work under the guidance of an assigned mentor and collaborate with subject matter experts to support Autonomous Factory and Industry 4.0 initiatives. The role involves contributing to digitalization projects, data analytics, AI-enabled solutions, and process improvement efforts to drive smarter and more efficient manufacturing operations.\nYour role\nKey responsibilities in your new role\nCross-Functional Collaboration: Collaborate with Industrial Engineering and manufacturing experts to understand complex operational challenges and design innovative, data-driven solutions that support Autonomous Factory and Industry 4.0 initiatives.\nData Analysis & Insights: Analyze large-scale production and operational data to uncover insights, identify improvement opportunities, and support the development of advanced analytics, AI-enabled applications, dashboards, and digital solutions.\nData & Reporting Enhancement: Partner with cross-functional teams to enhance data collection, integration, visualization, and reporting capabilities, enabling faster and more informed decision-making.\nProject Management & Coordination: Support project planning, execution, and stakeholder coordination for digital transformation projects, ensuring timely delivery and alignment with business objectives.\nCommunication & Knowledge Transfer: Develop and present project updates, findings, and recommendations to engineering teams and management review platforms, and facilitate user training and knowledge transfer to drive successful solution adoption.Internship Learning Outcomes:\n\nApplied Digital Experience: Acquire practical experience in leveraging data analytics, AI, and digitalization technologies to address complex manufacturing and operational challenges.\nIndustry 4.0 Exposure: Gain exposure to Autonomous Factory and Industry 4.0 concepts, including data-driven decision-making, process automation, and smart manufacturing solutions.\nTechnical Skill Development: Enhance technical competencies in data analysis, visualization, automation, and solution development through participation in real-world projects.\nProfessional & Soft Skills: Develop professional skills in project management, stakeholder engagement, communication, and presentation.\nManufacturing Domain Knowledge: Build a strong understanding of manufacturing operations while working in a collaborative and multicultural environment alongside experienced engineering professionals.\nYour profile\nQualifications and skills to help you succeed \nEducational Background: Pursuing a Bachelor's degree in Computer Science, Industrial Engineering, Data Science, Information Systems, or a related Engineering discipline.\nAnalytical Thinking: Strong analytical and problem-solving skills, with the ability to evaluate complex datasets, identify trends, and derive actionable insights.\nCommunication & Interpersonal Skills: A passion for learning and innovation, coupled with effective communication, interpersonal, and presentation skills.\nWork Ethic & Collaboration: A self-motivated and proactive mindset, with the ability to work independently while collaborating effectively within cross-functional teams.\n Microsoft Office Proficiency: Proficiency in Microsoft Office applications, particularly Excel (e.g., Pivot Tables, VBA), PowerPoint, and Word.\n Data & Analytics Tools: Familiarity with data visualization and analytics tools (e.g., Tableau, Power BI), as well as programming languages such as Python and SQL.\n AI & Digital Technologies: Basic knowledge of Artificial Intelligence (AI) concepts and technologies, including Machine Learning (ML), Natural Language Processing (NLP), Robotic Process Automation (RPA), or related digital technologies.\nIndustry Interest: Interest in Industry 4.0, Smart Manufacturing, Digital Transformation, Data Analytics, and Autonomous Factory solutions.\nPreferred intake:Jan 27 - May/ June 27.\n#WeAreIn for driving decarbonization and digitalization.\nAs a global leader in semiconductor solutions in power systems and IoT, Infineon enables game-changing solutions for green and efficient energy, clean and safe mobility, as well as smart and secure IoT. Together, we drive innovation and customer success, while caring for our people and empowering them to reach ambitious goals. Be a part of making life easier, safer and greener.\nAre you in?\nWe are on a journey to create the best Infineon for everyone.\nWe strive to create the best Infineon for everyone by embracing diversity and inclusion. We welcome applicants for who they are and offer a workplace built on trust, openness, respect and equal opportunity.\nOur hiring decisions are based on skills and experience. Even if you don’t meet every requirement, we encourage you to apply.\nPlease let your recruiter know if you need any accommodations during the interview process.\nLearn more about our various contact channels and about Diversity & Inclusion at Infineon.\nHillary Woo\nhttps://www.linkedin.com/in/hillary-woo/","description_format":"text","description_chars":5034,"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":[{"name":"Singapore","iso":"SG","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Industrial Engineering"],"lifecycle":[{"event":"open","at":"2026-09-27T04:31:05Z"}],"liveness":{"score":12,"band":"cold","label":"Long shot","p_open":1,"p_active":0.268,"p_room":0.44,"age_days":54,"expected_fill_days":41,"reasons":["conf:4","stale_co","velocity","win:tail","crowd:junior,brand"],"computed_at":"2026-09-29T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/infineon-technologies-internship-industrial-engineering","json_url":"https://alion.io/job/infineon-technologies-internship-industrial-engineering.json","meta":{"generated_at":"2026-09-30T02:26:18Z","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":1654,"day_limit":5000,"remaining_today":3346,"minute_limit":60,"resets_at":"2026-10-01T00:00:00Z"}}}