Solutions Engineering Internship (Spring 2027)
Tenet3®
Salary undisclosed
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Description
Who We Are
Tenet3 is knowledge modeling company undergoing growth due to an increasing amount of customer demand. We don’t just work on cutting-edge technology; we solve complex, high-impact problems that drive innovation and security. We specialize in developing advanced software that helps people think more effectively by using innovative visualizations, cutting-edge machine learning, and property graph analysis.
Why Work Here
This internship provides hands-on experience with the tools and mindsets used in modern digital engineering. You’ll gain visibility into real-world systems integration challenges and learn from a team committed to mentoring and innovation.
The Role
As an Intern Solutions Engineer at Tenet3, you’ll gain hands-on experience in Model-Based Systems Engineering (MBSE), Python scripting, and digital modeling. You’ll work with a cross-disciplinary team to support the development of system models, technical documentation, and integration workflows for complex systems in aerospace and defense.
This internship is ideal for students interested in digital engineering and automation, and who are eager to apply classroom learning to impactful, real-world challenges. You’ll receive one-on-one mentorship, exposure to industry tools, and a front-row seat to the future of digital acquisition.
What You’ll Do
- Assist with system modeling using MBSE tools and templates
- Draft and maintain internal documentation and diagrams
- Learn and apply Python to automate basic modeling or data tasks
- Participate in team standups and receive mentorship from senior engineers
Essential Job Duties
- Modeling Support: Assist with creating and maintaining system models using MBSE tools (e.g., SysML, Cameo/MagicDraw).
- Python Scripting: Learn and apply Python to automate repetitive tasks, validate models, or support early data analysis.
- Technical Documentation: Contribute to internal diagrams, model annotations, and structured technical documentation.
- Team Collaboration: Participate in agile ceremonies like standups, demos, and retrospectives; ask thoughtful questions and seek feedback.
- Version Control & Traceability: Learn how models and data are tracked and structured using tools like GitLab.
Skills and Qualifications
- Education: Enrolled in a bachelor's program in Systems Engineering, Computer Science, Electrical Engineering, Applied Math, or a related STEM field.
- GPA: Minimum 3.5
- Programming Exposure: Basic familiarity with Python (coursework, personal projects, or research).
- Tool Curiosity: Interest in learning MBSE tools such as MagicDraw/Cameo, Enterprise Architect, or similar.
- Communication Skills: Clear written and verbal communication; able to ask good questions, write clean documentation, and collaborate across teams.
- Growth Mindset: Self-driven, curious, and eager to learn digital engineering workflows in a real-world context.
Tenet3 provides equal employment opportunities to all employees and applicants for employment. Equal employment opportunity applies to all terms and conditions of employment, including hiring, placement, promotion, termination, layoff, recall, transfer, leave of absence, compensation, and training.
About this role
Tenet3 is seeking an intern to support solutions engineering work on complex systems used in aerospace and defense. You'd spend the spring semester working in-office in Dayton with a team that builds knowledge modeling software—tools that combine advanced visualization, machine learning, and graph analysis to help organizations think through difficult technical problems. The role centers on hands-on experience with Model-Based Systems Engineering (MBSE), Python scripting, and digital modeling workflows.
Your day-to-day work would involve assisting with system models using tools like SysML and MagicDraw, writing Python scripts to automate repetitive tasks or validate data, drafting technical documentation and diagrams, and participating in agile team standups and retrospectives. You'd get one-on-one mentorship from senior engineers and exposure to real systems integration challenges—the kind of work that directly impacts how complex projects are managed and delivered.
This internship suits students enrolled in Systems Engineering, Computer Science, Electrical Engineering, or Applied Math who have at least basic Python experience, a 3.5+ GPA, genuine curiosity about MBSE tools, and strong communication skills. You should be self-driven and ready to apply classroom theory to concrete, high-stakes problems in digital engineering.
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Pay for this role
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