The Rundown AI, Inc.
Founded in 2015, Shield AI is a venture-backed deep‑tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With nine offices and facilities across the U.S., Europe, the Middle East, and the Asia‑Pacific, Shield AI’s technology actively supports operations worldwide. Visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.
Job Description:
As a member of the Australian Engineering Team, a candidate will contribute to the design of integrated solutions inclusive of the Hivemind Vision and Mission Autonomy technology stacks.
In this role, you will collaborate closely with:
Programmatic leadership to determine the appropriate System Engineering level of effort
System Design Teams (e.g., Human Factors, UX, Architecture, etc.) to decompose solution designs to actionable levels of detail
System Development & Test (e.g., Development, Integration, Test) to define system architectures
What You'll Do:
As a contributor to the Australian Engineering group, you will be responsible for:
Capturing end-to-end system requirements
Supporting the design & development process for system architecture
Use MBSE tools to document, maintain & extend existing architecture in support of new integrations & capabilities
Develop and maintain models using Unified Modeling Language (UML), Systems Modeling Language (SysML), and/or Unified Profile for DoDAF/MODAF (UPDM)
Develop SysML models with emphasis on system decomposition, functions, interfaces, and behavior
Collaborate with SMEs for improved tooling and connection to code for automated system models
Collaborating to define implementations of the systems engineering processes
Engage cross functionally with product management, program management, engineering, business development, and other company leaders
Report status, risks, accomplishments, expectations to senior leadership
Required Qualifications:
A minimum of 7 years of systems engineering or related experience with a Bachelor’s degree; or 5 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
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
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
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.
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, colour, 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.
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Job Description:
As a member of the Australian Engineering Team, a candidate will contribute to the design of integrated solutions inclusive of the Hivemind Vision and Mission Autonomy technology stacks.
In this role, you will collaborate closely with:
Programmatic leadership to determine the appropriate System Engineering level of effort
System Design Teams (e.g., Human Factors, UX, Architecture, etc.) to decompose solution designs to actionable levels of detail
System Development & Test (e.g., Development, Integration, Test) to define system architectures
What You'll Do:
As a contributor to the Australian Engineering group, you will be responsible for:
Capturing end-to-end system requirements
Supporting the design & development process for system architecture
Use MBSE tools to document, maintain & extend existing architecture in support of new integrations & capabilities
Develop and maintain models using Unified Modeling Language (UML), Systems Modeling Language (SysML), and/or Unified Profile for DoDAF/MODAF (UPDM)
Develop SysML models with emphasis on system decomposition, functions, interfaces, and behavior
Collaborate with SMEs for improved tooling and connection to code for automated system models
Collaborating to define implementations of the systems engineering processes
Engage cross functionally with product management, program management, engineering, business development, and other company leaders
Report status, risks, accomplishments, expectations to senior leadership
Required Qualifications:
A minimum of 7 years of systems engineering or related experience with a Bachelor’s degree; or 5 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
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
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
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.
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, colour, 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.
#J-18808-Ljbffr