R&D Model Based Systems Engineer

1 day ago

WrightPatterson Air Force Base, United States KBR Full time

Title:

R&D Model Based Systems Engineer

Belong, Connect, Grow, with KBR

Program Summary

KBR’s Digital Research, Engineering, Acquisition, and Materiel Management Team (DREAMM Team) provides comprehensive Systems Engineering, Digital Engineering, Model Based Systems Engineering, Modeling & Simulation, Data Analysis, DevSecOps, technical solution development, and training capabilities, serving our DoD customers. With a wide range of services and contract options, the DREAMM Team is dedicated to ensuring excellence in every aspect of our customer’s Digital Transformation journey, including strategy and implementation plan development, technical execution, and training and development courses. This commitment ensures smooth and manageable design, implementation, test and deployment of technical solutions, streamlined processes, and digital methods and approaches.

Job Summary

Are you ready to embark on a journey where your expertise meets meaningful impact? As an R&D Model Based Systems Engineer you’ll dive into system design, requirements, and engineering challenges related to airborne autonomy prototyping, driving toward a challenging timeline in order to meet national defense objectives. Join our team at KBR supporting the Air Force Research Lab (AFRL) and be at the forefront of military autonomous solution development and prototyping, contributing to our success story. You’ll collaborate closely with a diverse team, fostering innovation and excellence every step of the way. If you’re ready to make a difference and thrive in a dynamic environment, apply now and let’s shape the future together

The successful candidate for this position possesses a diverse background including Systems Modeling Language (SysML), SysML tools (such as Cameo System Modeler), modeling large complex software systems, and managing an enterprise model across a geographically diverse team. Candidates should have experience working in a high-paced Agile development environment implementing a large-scale system model with many components and interfaces. This role will be part of a team supporting the Air Force Research Laboratory (AFRL) in a research and development effort to prototype and transition an autonomous ISR capability operating at the edge to detect, identify, track, maintain custody of and report on high value targets. Responsibilities include:

Roles and Responsibilities:

  • Apply MBSE methods to perform requirements analysis, definition, and management, functional analysis, performance analysis, system design, detail trade studies, systems integration, verification, validation and interface definition studies of subsystem or system elements.
  • Analyze existing and approved system requirements documentation (Capabilities Development Document, System Requirements Document, etc.)
  • Modify and update system models to reflect current acquisition strategies, technical designs, and system decisions
  • Define system use cases, activities, and system behaviors.
  • Produce and deliver MBSE models as supplements to system programmatic documentation including the Acquisition Strategy Plan, Statement of Work, Systems Engineering Plan, Test and Evaluation Master Plan, and others
  • Develop system CONOPS, architectures, and interface definitions of complex systems in an MBSE environment
  • Support effective transition of existing systems engineering and technical data packages (TDPs) from traditional document-based processes to reusable model-based artifacts
  • Support management of models and derived work products consistent with project configuration and data management processes and standards.
  • Conduct walkthroughs and formal reviews of system requirements and architecture models developed using SysML and MBSE processes
  • Perform detailed technical analyses for a subsystem or system elements
  • Collaborate with systems engineering leads as well as domain and discipline subject matter experts (SMEs) to tailor MBSE to project scope and cost and schedule constraints.
  • Translate processes from traditional document-based system engineering efforts to delivery of model-based work products to customers
  • Develop, review, and update existing and new educational content for Digital Engineering and/or Digital Material Management courses
  • Teach MBSE concepts and tools and other DMM topics to government and KBR students
  • Author, review & edit technical guides, documentation, scientific papers, scholarly articles and journals

BASIC QUALIFICATIONS:

  • BS Degree in STEM with 5+ years in Autonomy or RPA Systems Experience
  • Proficient in system modeling using SysML with tools such as Cameo Systems Modeler, Enterprise Architect, MagicDraw, Capella, Rational Rhapsody, Sparx EA, and Mathworks System Composer.
  • Proven track record in teaching technical courses at both undergraduate and graduate levels.
  • OCSMP-MBF Certification (Object Management Group - Certified Systems Modeling Professional – Model Builder – Fundamental) or the ability to obtain it within 12 months of employment.
  • Local to WPAFB
  • DoD Clearance Requirement: Secret

DESIRED QUALIFICATIONS:

  • DoD weapon systems engineering and acquisition experience
  • Experience in software development or managing software development efforts
  • MBSE (desired)
  • TS/SCI clearance

At KBR, we are passionate about our people, sustainability, and our Zero Harm culture.

These inform all that we do and are at the heart of our commitment to, and ongoing journey toward being a more inclusive and diverse company. That commitment is central to our team of team’s philosophy and fosters an environment of real collaboration across cultures and locations. Our individual differences and perspectives bring enhanced value to our teams and help us develop solutions for the most challenging problems. We understand that by embracing those differences and working together, we are more innovative, more resilient, and safer.

KBR is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law.

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