$Not specified
The Systems Engineer will develop system architectures and models for multi-vehicle autonomy in complex environments and apply MBSE principles to capture requirements and operational behaviors. They will collaborate with various engineering disciplines to integrate autonomy solutions into uncrewed platforms.
Candidates must have a bachelor's degree in systems engineering or a related field, with experience in Model-Based Systems Engineering and 0-4 years of related work experience. Experience in unmanned systems development and familiarity with MBSE practices is also required.
We are seeking an early career Systems Engineer with experience in Model-Based Systems Engineering (MBSE) to support programs in autonomous vehicles and uncrewed systems. The successful candidate will contribute to the design and development of system architectures for autonomous flight systems and crewed–uncrewed teaming, using MBSE methods and tools such as Cameo Systems Modeler. This role requires both technical systems engineering skills and the ability to collaborate across disciplines to deliver mission-critical autonomy solutions for the Department of Defense. Our Solutions Division focuses on creating AI/ML-enabled capabilities to command, control, and coordinate intelligent agents, smart sensors, and autonomous platforms across all domains. Scientific Systems Company, Inc. (SSCI) is a leading developer of advanced technologies for navigation, mission planning, and autonomy for the Aerospace and Defense industries. Founded in 1990 and headquartered in Burlington, MA, SSCI invents disruptive technologies, develops revolutionary solutions, and builds trusted products for our customers’ most challenging missions. Essential Functions: Develop system architectures and models for multi-vehicle autonomy in complex, contested, experimental environments. Apply MBSE principles to capture requirements, interfaces, and operational behaviors using Cameo (MagicDraw). Work closely with software, hardware, and test engineers to integrate autonomy solutions into embedded systems for uncrewed platforms. Participate in system design reviews, trade studies, and risk assessments. Contribute to the development of CONOPS (Concept of Operations) and operations analysis for customer missions. Support proposal efforts and customer briefings with technical input, including competitive proposals for agencies such as AFLCMC, NAVAIR, DIU, and other DoD organizations. Collaborate with internal and external stakeholders to ensure technical alignment across projects. Occasionally support other company initiatives where systems engineering expertise is required. Up to 25% travel to test locations may be required. Must be able to obtain and maintain a US DOD Secret Clearance. Basic Qualifications: Bachelor’s degree in systems engineering, or other engineering discipline with experience in Model-Based Systems Engineering principles/practices and 0-4 years of related work experience. Experience in unmanned/autonomous systems development. Hands-on experience with Digital Engineering and MBSE practices, including SysML and Cameo Systems Modeler. Prior software engineering experience a plus Preferred Qualifications: Experience with CONOPS development, operations analysis, or military utility analysis. Familiarity with command-and-control architectures for autonomous systems. Experience preparing technical content for proposals and government reviews. Prior exposure to DoD programs, particularly AFLCMC, NAVAIR, DARPA, or industry prime contractors. Strong problem-solving and systems thinking skills. Ability to work effectively both independently and as part of a team. Excellent verbal and written communication skills. Full Medical Care, Dental Care, Vision Care, PTO, Life Insurance, 401K, Holiday Shut Down, Hybrid Work Schedule, 9/80 Work Schedule during Summer Months, Tuition Reimbursement
This job posting was last updated on 10/3/2025