Applications Engineering Intern - Fall 2026 Internship - 16520

Job Description

We Are:

• Drive technology innovations that shape the way we live and connect.
• Create smart tech and AI that seamlessly integrate into daily life.
• Develop high-performance silicon chips for a healthier, safer, and more sustainable world.

Internship Experience:

• Dive into real-world projects, gain hands-on experience, and collaborate with passionate teams worldwide.
• Share your ideas, unleash your creativity, and explore your interests.
• Bring your solutions to life and work with cutting-edge technology that shapes innovation and your career path.
• Join us and start shaping your future today!

What You’ll Be Doing

• Develop technical expertise in at least one Ansys Optics product: Lumerical, Speos, or Zemax.
• Create new simulation methodologies, troubleshoot problem set-ups, run simulation benchmarks, and update industry best practices for modeling and simulation of engineered products and processes.
• Develop scripts and automation routines to support customer workflows.
• Support the team by conducting demonstrations, webinars, online training, and other meetings as needed.
• Collaborate with product development teams to translate customer requirements into exciting new product features and test new releases of Ansys products on industrial problems.
• Aid in reviewing and updating online tutorial content.
• Write detailed technical reports and present results to global teams.
• Network within the Customer Excellence team to learn about pre-sales support, post-sales technical support, consulting services, and more.

What You’ll Need

• Currently pursuing a Bachelor’s degree in Optical Engineering, Optical Sciences, Applied Physics, or a related field.
• Minimum 3.0 GPA in graduate studies, or 3.5 in undergraduate studies.
• Logical problem-solving abilities, strong interpersonal and communication skills, and fluency in written and spoken English.
• Demonstrated experience with optical modeling tools (e.g., Ansys Zemax OpticStudio, Ansys Speos, Synopsys CodeV, etc.).

Nice To Have

• Currently enrolled as an engineering graduate student (M.S. or Ph.D.) in an accredited United States university (Ph.D. students should be entering third year or beyond of their program).
• Experience with programming languages such as Matlab, Python, Mathematica, C++, or C#.
• Experience with programming repositories (e.g., GitHub, Mercurial), AI & LLMs (Copilot, Claude, Cursor, etc.), and customer-facing or leadership roles.
• Proficiency in developing learning plans and teaching in technical settings, and knowledge of CAD packages (e.g., SolidWorks, NX, Catia).