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Part Time Mbse Jobs in Texas (NOW HIRING)

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Part Time Mbse information

What is a part time MBSE?

Part Time MBSE jobs refer to positions where professionals work on Model-Based Systems Engineering (MBSE) tasks, but on a part-time basis. MBSE involves using models to support the requirements, design, analysis, and verification of complex systems, often in industries like aerospace, automotive, and defense. Part-time roles may include responsibilities such as developing system models, collaborating with interdisciplinary teams, and supporting project documentation. These positions are ideal for those seeking flexible work arrangements while applying their expertise in systems engineering and modeling tools.

What skills and qualifications are needed to thrive as a part time MBSE professional?

To excel as a Part-Time MBSE professional, you need a solid background in systems engineering principles, modeling languages like SysML, and typically a relevant engineering degree. Familiarity with MBSE tools such as Cameo, IBM Rational Rhapsody, or Enterprise Architect, as well as experience with requirements management systems, is often required. Strong analytical thinking, effective communication, and the ability to collaborate remotely are crucial soft skills for part-time roles. These competencies ensure accurate system modeling, clear communication of complex ideas, and successful project integration despite limited working hours.

How do part time MBSE professionals typically collaborate with full-time engineering teams?

Part-time MBSE (Model-Based Systems Engineering) professionals often work closely with full-time engineering teams through regular virtual meetings, collaborative modeling platforms, and shared documentation tools. They are usually assigned to specific phases or aspects of a project, such as model creation, requirements analysis, or validation tasks, and must coordinate deliverables to align with the broader team’s timeline. Effective communication and well-defined expectations are crucial, as part-time MBSE professionals need to stay updated on project changes and integrate their contributions seamlessly with those of full-time staff. This collaborative approach allows for flexibility while maintaining project consistency and quality.

What is the difference between Part Time Mbse vs Part Time Mechanical Engineer?

AspectPart Time MbsePart Time Mechanical Engineer
Required CredentialsEngineering degree, MBSE certificationEngineering degree, Mechanical engineering certification
Work EnvironmentDesign offices, project teamsManufacturing plants, design offices
Industry UsageSystems engineering, aerospace, automotiveManufacturing, product design, HVAC
Common Search IntentMBSE tools, systems modelingMechanical design, CAD, product development

Part Time Mbse professionals focus on systems modeling and engineering using MBSE tools, often in aerospace or automotive industries. In contrast, Part Time Mechanical Engineers work on mechanical design and manufacturing projects. Both roles require engineering backgrounds but differ in specialization and daily tasks.

What are the most commonly searched types of Mbse jobs in Texas?

The most popular types of Mbse jobs in Texas are:

What are popular job titles related to Part Time Mbse jobs in Texas?

For Part Time Mbse jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Part Time Mbse jobs in Texas look for?

The top searched job categories for Part Time Mbse jobs in Texas are:

Part Time Mbse jobs near you
Infographic showing various Part Time Mbse job openings in Texas as of August 2026, with employment types broken down into 100% Part Time. Highlights an 67% In-person, and 33% Hybrid job distribution.

Senior Engineer, Software Systems (R4903)

Shield AI

Dallas, TX • On-site

$110K - $170K/yr

Full-time, Part-time

Re-posted 3 days ago

Job description

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. 

Job Description:
We are seeking a skilled Systems Engineer to join the Hivemind Solutions Systems Engineering team. In this role, the candidate will support the design, development, integration, and validation of complex systems leveraging the Hivemind autonomy software. This role requires a strong foundation in systems thinking, cross-functional collaboration, and the ability to translate stakeholder needs into robust technical solutions.
What you'll do:
  • Define, analyze, and manage system requirements, ensuring traceability and alignment with mission objectives
  • Develop system architectures and perform trade studies to balance performance, cost, and risk
  • Coordinate and manage interfaces across hardware, software, and external systems
  • Support system integration, verification, and validation activities, including test planning and execution
  • Identify technical risks and develop mitigation strategies throughout the system lifecycle
Required qualifications:
  • A minimum of 5 years of systems engineering or related experience with a Bachelor’s degree; or 4 years and a Master’s Degree; or 2 years with a PhD; or equivalent work experience
  • B.S. degree in a STEM discipline (e.g. Software, Aerospace, Mechanical, Electrical, Systems Engineering)
  • Experience with Systems Engineering practices and principals, including writing, organizing, and verifying requirements
  • Experience with MBSE and related efforts
  • Experience working in cross-functional teams
  • Excellent communication skills, both written and verbally
  • Organized and methodical
  • Software engineer experience in C++ and/or Python
  • Experience in reading, interpreting, and applying engineering drawings, including assembly drawings, parts lists, wiring diagrams, and schematics
  • Demonstrated record of working hard, being a trustworthy teammate, holding yourself and others to high standards, and being kind to others
  • The ability to obtain and maintain a US Security Clearance. US Citizenship is required as only US citizens are eligible for a security clearance
Preferred qualifications:
  • Expertise with MBSE, inclusive of use of Cameo API and Velocity Template Language (VTL)
  • Expertise with Requirement & Design decomposition
  • Experience in any/all of the following: Autonomy, Aircraft, Unmanned Vehicles
#LI-DM2
#LC

Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
 
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
 
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
 
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Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.