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Recently posted jobs
Automotive • Cloud • Energy
Onsite engineering interns will work on semiconductor product development, testing, characterization, data analysis, software and automation, AI applications, manufacturing optimization, reliability, process improvement, and validation. Interns collaborate with engineering and cross-functional teams, document technical findings, present project outcomes, and gain mentorship and professional development. Opportunities span applications, product, test, design, device, manufacturing, quality, software, data, AI/ML, technical marketing, and process engineering.
Automotive • Cloud • Energy
Onsemi seeks non-engineering interns to support business operations, analytics, finance, supply chain, IT, HR, marketing, and other functions. Interns will analyze data, improve processes, develop reports and dashboards, assist with planning and operational initiatives, conduct research, and present recommendations. The role is fully on-site in Scottsdale, San Jose, or Allen and includes mentorship, professional development, and cross-functional collaboration.
Automotive • Cloud • Energy
Non-engineering interns support business operations, supply chain, finance, procurement, IT, analytics, HR, marketing, and other functions. Responsibilities may include data analysis, dashboard and report creation, process improvement, financial planning, auditing, research, and strategic project support. Interns collaborate with cross-functional stakeholders, use AI and digital tools, present findings, and participate in professional development. This is an on-site role in Scottsdale, San Jose, or Allen.
Automotive • Cloud • Energy
Engineering interns support semiconductor product development, testing, characterization, manufacturing optimization, reliability, process improvement, software tools, data analytics, and AI-enabled engineering applications. Interns collaborate with cross-functional teams, analyze technical data, conduct experiments, document findings, and present project outcomes. Opportunities span applications, product, test, design, device, manufacturing, quality, software, data, AI and machine learning, technical marketing, and process engineering.
