MBSE Engineer

Accenture Federal Services•Washington, DC

About The Position

We are looking for an experienced MBSE Tooling & Process Efficiency Engineer to bridge the gap between our engineering teams and digital engineering infrastructure group. This role is focused on optimizing, integrating, and automating the engineering toolchain to improve process efficiency and streamline the systems development lifecycle.

Requirements

Proven experience in digital or systems engineering roles on large-scale development programs.
Strong understanding of the systems development lifecycle and digital engineering ecosystems.
Hands-on experience with SysML modeling tools (e.g., Cameo, Rhapsody), requirements management tools (e.g., DOORS NG), and scripting languages (e.g., Python, Java, Groovy) for API integrations and automation.
Demonstrated expertise in designing and implementing toolchain integrations using frameworks such as OSLC, REST APIs, and other data exchange standards.

Responsibilities

Collaborate with engineering teams (Systems, Software, Hardware, Test) to analyze and document process and tooling requirements. Identify workflow challenges and opportunities for improvement, integration, and automation.
Define and document current ("as-is") and future ("to-be") engineering processes, including tool integration specifications and workflow automation designs.
Develop and maintain integrations between MBSE tools, including SysML modeling tools (e.g., Cameo, Rhapsody), requirements management platforms (e.g., DOORS NG), PLM systems, and simulation software. Utilize scripting languages (e.g., Python, Java, Groovy) to create automation scripts and ensure seamless data exchange.
Pilot and validate tool integrations and automated workflows to meet efficiency, data integrity, and quality objectives.
Deploy and support the integrated toolchain across engineering programs, addressing any workflow or integration issues. Provide training and documentation to ensure user adoption.
Evaluate emerging tools, technologies (e.g., OSLC, APIs), and methodologies to advance MBSE and digital engineering capabilities.