About the job
Embark on a transformative career journey with ASM, where state-of-the-art technology synergizes with a vibrant collaborative culture.
With over 55 years of pioneering advancements, ASM stands at the forefront of technological innovation. Our diverse team of over 4,500 ASMers, representing 70 nationalities, contributes to groundbreaking developments in critical areas such as 5G, cloud computing, artificial intelligence, and autonomous driving. Beyond our technological prowess, we are committed to diversity, inclusion, and sustainability, striving to create a positive global impact. Our development programs are tailored to foster your professional growth, pushing the boundaries of innovation to unlock your potential.
About the Internship
Our Fall internship offers a hands-on experience in the dynamic semiconductor industry. Interns will collaborate on industry-focused projects and gain invaluable insights into core engineering roles. This program is crafted to cultivate the industry leaders of tomorrow, providing opportunities to learn, develop, and hone the skills essential for a successful career in the semiconductor sector.
What to Expect
This paid internship is set to commence in January/February 2027 and extend through April/May 2027. The duration will be 12 weeks, full-time, and on-site. Our internship program is designed for students currently enrolled in a full-time academic program. Recent graduates seeking employment after graduation and not planning to return to school should consider applying for our Early Career opportunities.
International Students: Please consult your school's international office prior to applying to understand your eligibility for this internship opportunity.
What You’ll Do
As a Simulation Intern at ASM, you will engage in simulation, design of experiments (DOE) studies, and predictive reduced-order modeling to expedite semiconductor engineering analysis.
What You’ll Bring
- Currently pursuing a Bachelor's, Master's, or PhD degree in Mechanical Engineering, Chemical Engineering, Aerospace Engineering, Physics, or a closely related field.
- Strong foundation in numerical modeling and simulation.
- Experience with CFD (Computational Fluid Dynamics) and/or multi-physics simulations is a plus.

