> Markdown version of [/jobs/ext/4703296-solutions-engineer-onsite](https://www.wearedevelopers.com/jobs/ext/4703296-solutions-engineer-onsite). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Solutions Engineer (Onsite) - **Company:** Tenet 3, LLC - **Location:** Tullahoma, TN, United States - **Experience:** Starter - **Salary:** $70,000 - $80,000 - **Contract:** Permanent contract - **Skills:** Adobe InDesign, Artificial Intelligence, Data Analysis, Systems Engineering, Github, Internet Security, Python (Programming Language), Knowledge Management, Machine Learning, Software Engineering, Systems Modeling Language, Systems Integration, Model Validation, Gitlab, Information Technology, Software Version Control - **Published:** November 13, 2026 - **Apply:** https://www.careerbuilder.com/job-details/solutions-engineer-onsite-tullahoma-tn--d0f31c9c-b68b-43fa-affd-9f5a17972386 ## About the Role Knowledge Management, Machine Tool, Machine Learning, Internet Security, Software Development, Analysis Skills, Artificial Intelligence (AI), Product Development, Knowledge Management Systems, Team Player, * Security Clearance: Eligibility to obtain and maintain a DoD Top Secret security clearance. * Python Proficiency: Intermediate Python skills with the ability to automate tasks, perform data analysis, and develop scripts for model validation, utilizing libraries and frameworks relevant to MBSE. * MBSE Tool Familiarity: Knowledge of model-based system engineering tools (e.g., Cameo, SysML modeling) and version control systems (e.g., GitLab, GitHub). * Systems Engineering Fundamentals: 0-3 years of experience in systems engineering, modeling, or technical problem-solving, with a basic understanding of trade study or comparative analysis techniques. * Technical Communication & Articulation: Effective technical writing, diagram creation, and presentation skills, with the ability to capture assumptions, constraints, and design decisions in a clear and concise manner to non-technical stakeholders. * Collaborative Mindset: Willingness to receive and act on feedback, with a strong desire for growth and learning, and comfort with team standups, demos, and reviews. * Systems Thinking: Demonstrated ability to view problems through a holistic lens to understand how individual components affect the total system performance. Education Bachelor's degree in computer science, electrical engineering, mechanical engineering, civil engineering, mathematics, physics, or a related technical field. ## Description We are seeking an early-career Solutions Engineer with a background in Mechanical, Electrical or Aerospace Engineering to serve as a technical advocate to support our client's MBSE initiatives at Arnold Air Force Base. This role involves collaborating with engineers to execute solution design tasks, maintain model traceability, and contribute to cross-functional collaboration. You will have the opportunity to develop your technical modeling, documentation, and system integration skills, working closely with our team to deliver high-impact engineering outcomes. Ideal candidate would be a systems thinker who understands that a model is only as good as the story it tells. This position will bridge the gap between abstract requirements and executable designs, ensuring our client's mission-critical initiatives are traceable, scalable, and robust. Essential Responsibilities * Execute basic system modeling tasks using MeTRA and internal modeling standards * Maintain version control and traceability for all modeling artifacts * Assist with component-level solution design and basic integration tasks * Draft technical documentation, capturing assumptions, constraints, and design decisions * Participate in design sessions, demos, and retrospectives to support team alignment and feedback loops * Collaborate with the client onsite at Arnold Air Force Base to support the effective use of MeTRA * Utilize Python Skills to: + Automate repetitive modeling tasks + Develop scripts for data analysis and model validation + Enhance overall efficiency in MBSE workflows