Conduct mechanical and multiphysics simulations for semiconductor 3D integration technologies using finite element software. Design and optimize mechanical elements, develop advanced models, and analyze simulation and experimental results. The internship requires PhD-level study in mechanical engineering, materials science, or a related field, along with experience in finite element software, machine learning, and Python or MATLAB.
Let’s search for your next career at TEL. Use the form below to search our current opportunities and then apply. Please consider joining our Talent Community so that we may continue to engage with you.
Job DescriptionSummer 2027 Internship
Duration: Monday, May 17th- August 20th, 2027
Location: Austin, TX
What You Can Expect:
- Meaningful Project Work: Every Intern is assigned a project that delivers value to the business.
- Lean Thinking: Interns are expected to apply Lean principles and continuous improvement thinking throughout their project work; Lean training and resources will be provided.
- Our Goal is to provide interns with meaningful, hands-on experiences that contribute to business objectives while supporting their professional development
Responsibilities
- Simulate mechanical and multi-physics processes in semiconductor 3D integration technologies by utilizing commercial and custom finite element software packages
- Design and optimize mechanical elements using modeling results
- Create advanced models to analyze simulation and experiment results
Qualifications
- Required:
- PhD candidate in mechanical engineering, materials science or relevant field at the start of the position
- Experienced using finite element software, e.g. Abaqus, Ansys, COMSOL, etc.
- Experienced in machine learning algorithms and programming software (e.g. Python, MATLAB)
- Excellent verbal and written communication skills
- Must be fluent in English
- Preferred:
- Hands-on experience with semiconductor manufacturing processes
- Familiarity with applied statistical theories
- Strong knowledge in advanced mathematics
Diversity creates an innovative culture. TEL US is an Equal Employment Opportunity / Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.
SubsidiaryTOKYO ELECTRON AMERICA, INC.Tokyo Electron US Austin, Texas, USA Office
2400 Grove Blvd., Austin, TX , United States, 78741
Similar Jobs
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Builds, operates, secures, and automates classified, air-gapped IT infrastructure supporting AI, simulation, and engineering workloads. Responsibilities include Windows and Linux administration, virtualization, storage, networking, identity, endpoint management, backup and recovery, vulnerability remediation, STIG compliance, logging, accreditation support, troubleshooting, documentation, facility stand-ups, and mentoring junior staff.
Top Skills:
AcasActive DirectoryAnsibleDhcpDisa StigsDnsElasticEnterprise StorageFirewallsGpu ComputingGroup PolicyHyper-VJsigNessusNist Sp 800-53Nutanix Ahv/PrismPkiPowershellPythonRed Hat Enterprise LinuxRmfScapSIEMSplunkStig ViewerTerraformVdiVirtualizationVlansVMwareWindows ServerWsus
Financial Services
Leads software engineering and AI/ML solution delivery using Java and Python. Designs, builds, operates, and troubleshoots secure, scalable production systems; advances AI-assisted engineering practices; integrates LLM, RAG, and NLP capabilities; develops CI/CD and cloud-native automation; improves observability, reliability, and incident remediation; partners on technical roadmaps; and mentors engineers and AI practitioners.
Top Skills:
Ai/MlAWSCi/CdCloud-Native ArchitecturesContainerizationEvent-Driven ArchitectureGenerative AiInfrastructure As CodeJavaLangchainLanggraphLlmsMicroservicesNlpObservabilityPythonRetrieval-Augmented Generation (Rag)
Financial Services
Lead cross-functional operations transformation programs from strategic planning through execution. Responsibilities include developing roadmaps, managing milestones and RAID items, coordinating Business, Operations, and Technology stakeholders, defining OKRs and KPIs, analyzing operational data, building dashboards, managing governance, resolving conflicts, and delivering executive-ready artifacts. The role requires influencing senior stakeholders, driving measurable improvements in quality, cost, efficiency, and cycle time, and potentially assuming people-management responsibilities as the portfolio grows.
Top Skills:
AlteryxArtificial IntelligenceAutomationConfluenceJIRAExcelSharepointTableau
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
