Application Engineering Intern

Position Overview:

We're looking for a detail-oriented Engineering Intern to support our engineering group with data analysis, reporting, software debugging, and daily operational tasks. This opportunity is ideal for a student who thrives on problem-solving, enjoys working with data, and wants to contribute to the quality and reliability of engineering tools and workflows. The intern will work closely with our senior engineers to support development and testing efforts.

Key Responsibilities:

* Help our customers with basic support such as TDC search, license issues, and queries about new SMT revisions.

* Assist with debugging and troubleshooting code under senior engineers' guidance

* Review and maintain test suite verify coverage, and document issues

* Support daily engineering operations: update documentation, track tasks, prep materials for meetings

* Collaborate with team members to validate results, refine processes, and ensure data accuracy

* Suggest and contribute to automation or workflow enhancements

Required Qualifications:

* Enrolled in bachelor's or master's program in Engineering, Computer Science, Data Science, or related field

* Strong analytical and problem-solving skills

* Programming experience (Python, C++, Java, or similar)

* Comfort working with data (Excel, Python)

* Attention to detail

* Effective written and verbal communication

* Ability to work independently and in a team

Preferred Qualifications:

* Familiarity with version control systems (Git, etc.)

* Exposure to data visualization tools such as Matlab

* Understanding of basic software engineering

Internship Details:

* Duration: 10-12 weeks (Summer 2026)

* Schedule:

up to 32hrs/week

* Location:

On-site, hybrid, or remote depending on team needs

* Compensation:
Competitive hourly rate

* Additional Opportunities:
Mentorship, technical workshops, networking events, and exposure to real engineering workflows

How to Apply:

Candidates should submit a résumé and a brief statement of interest highlighting relevant coursework, programming experience, and data-related projects.