Proprietary Program - Senior Model-Based Systems Engineering Infrastructure at Boeing
Berkeley, Missouri, USA -
Full Time


Start Date

Immediate

Expiry Date

22 Nov, 25

Salary

198950.0

Posted On

23 Aug, 25

Experience

14 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Model Development, Mathematics, Groovy, Computer Science, Physics, Cameo, Java, Data Science, Chemistry

Industry

Information Technology/IT

Description

At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.
Boeing Defense, Space & Security (BDS) Air Dominance Proprietary Program Systems Engineering team is seeking a Senior Model-Based Systems Engineering Infrastructure Engineer to develop profiles, plugins, connectors, and customizations for the program’s System Architecture Model in Berkeley, MO.
This candidate will be responsible for ensuring the custom capabilities developed for the Magic Systems of Systems Architecture (MSOSA) large scale system architecture model meet the needs required for all engineering teams to execute their work in the model, as required by the contract. The candidate will work with the Integrated Product Teams across the program to understand the required needs, develop solutions to meet their needs, test and validate the solutions, and deploy the solutions to the program. The candidate will continue to guide the team in implementing the developed features and refine / update as required. The candidate will assist in maintaining the architecture’s infrastructure models to ensure consistency across the program’s system architecture projects.

BASIC QUALIFICATIONS (REQUIRED SKILLS/EXPERIENCE):

  • Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science
  • 14+ year’s related work experience or an equivalent combination of education and experience
  • Minimum 3+ years’ experience with Model-Based Systems Engineering (MBSE) tools such as CAMEO or similar Systems Modeling Language (SysML)-compatible tool for systems architecture and model development

PREFERRED QUALIFICATIONS (DESIRED SKILLS/EXPERIENCE):

  • Experience working with specialty engineering and system analysis disciplines
  • Experience working on proprietary programs
  • Experience with the Magic Systems of Systems Architecture (MSOSA) Application Programming Interface (API)
  • Proficiency in Java or Groovy

TYPICAL EDUCATION & EXPERIENCE:

Education/experience typically acquired through advanced technical education from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), computer science, engineering data science, mathematics, physics or chemistry (e.g. Bachelor) and typically 14 or more years’ related work experience or an equivalent combination of technical education and experience or non-US equivalent qualifications. In the USA, ABET accreditation is the preferred, although not required, accreditation standard.

EDUCATION

Bachelor’s Degree or Equivalent Required

Responsibilities
  • Develop profiles, plugins, and customizations for the Magic Systems of Systems Architecture (MSOSA) toolset to meet the needs of the program contract
  • Develop connectors between MSOSA and digital engineering tools
  • Collaborate with multi-disciplined engineering teams across the program to understand their engineering needs and translate them into Model-Based Systems Engineering (MBSE) concepts
  • Develop processes, work instructions, and templates for deploying engineering analyses in the System Architecture Model
  • Assist the engineering teams in implementing their analysis and design into the system architecture models
  • Refine and update developed capabilities based on lessons learned during deployment of the features
  • Ensure compatibility between the variety of features being developed and deconflict where the same data types are requested by multiple teams
  • Provide subject matter expertise and guide the team in managing the Teamwork Cloud environment
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