Tenet 3 logo
Tenet 3Posted 2 months ago

Solutions Engineer- On SIte

On-siteTullahoma, Tennessee, United States

Full TimeLargeTechnology

Job Summary

Early-career Solutions Engineer to support MBSE initiatives at Arnold Air Force Base. Responsibilities include executing basic system modeling tasks using MeTRA and internal standards, maintaining version control and traceability of modeling artifacts, assisting with component-level solution design and basic integration, drafting technical documentation, participating in design sessions, demos, and reviews, and collaborating onsite to enable effective use of MeTRA. Proficiency in Python to automate modeling tasks, develop data-analysis scripts, and enhance MBSE workflows is required. Must have eligibility for a DoD Top Secret security clearance. Strong communication, collaboration, and systems-thinking skills, plus a foundational degree in a technical field.

Required Qualifications

  • 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.
  • 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.

Hiring someone like this?

Get your role in front of qualified candidates on Sorce.

Get started

Apply to this job in one click with Sorce

Apply on Sorce