Leidos Defense is seeking a talented
Lead Model-Based Systems Engineer (MBSE) to join a diverse team to create unique solutions for complex problems. With offices across the United States engaging in the defense, space, cyber and commercial fields, Dynetics provides responsive, cost-effective engineering, scientific and IT solutions.
The Systems Engineer will work in a matrixed organization at Leidos, supporting multiple programs at once in a variety of engineering fields with all different team environments, from the large-scale programs that Leidos is the prime contractor for, to smaller-scale programs for which Leidos provides support as a subcontractor to companies in the top 100 DoD contractors. Leidos Dynetics is seeking a passionate, detailed-oriented problem-solver to serve as a Model-Based Systems Engineer to support the Hypersonics portfolio.
As an integral member of a Hypersonic platform development team, the successful candidate will assist in standardizing digital engineering and systems engineering practices and tools, including Cameo, to identify challenges and formulate candidate solutions within complex, highly interdependent systems and programs. A strong Digital Engineering background, coupled with traditional systems engineering experience is what is required for this position.
The Systems Engineer will utilize MBSE tools to develop system models and simulations for analysis and validation, work closely with stakeholders to define system requirements and constraints, and conduct trade-off analyses to optimize system characteristics. The selected candidate will develop and maintain system architectures and interfaces, collaborate with hardware and software engineers to integrate system components, and support the verification and validation of systems using models. Additionally, the candidate will provide technical expertise and guidance on MBSE practices, ensuring effective collaboration and successful project outcomes.
Basic Qualifications- Bachelor's degree in Systems Engineering, Software Engineering, Computer Science, Computer Engineering, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, or equivalent degree from an ABET-accredited university with 8+ years of prior relevant experience or an MS with 6+ years.
- Experience modeling in Cameo Systems Modeler (or equivalent) using SysML, and experience using Teamwork Cloud.
- Familiarity with industry standards and best practices in systems engineering.
- Strong analytical and problem-solving skills.
- Position requires candidates to be capable of performing in a collaborative engineering environment working closely with multi-disciplinary teams.
- Demonstrated experience effectively communicating within a team environment.
- Demonstrated experience effectively leading a team of engineers.
- Resident of the North Alabama area or willing to relocate to the Huntsville - North Alabama, AL area.
- US Citizenship is required with the ability to obtain and maintain secret clearance.
Preferred QualificationsPreference shown to candidates who possess a Master of Science in System Engineering from an ABET-accredited university, and/or have at least 2-4 years of direct systems engineering experience.
Preferred candidates will also have experience and/or working knowledge with:
- Other Model Based System Engineering (MBSE) modeling tools such as Sparx EA or IBM Rhapsody, using other modeling languages such as UML or the DoDAF Modeling Language (UPDM).
- DOORS and/or other requirements database tools.
- Velocity Template Language (VTL) or similar scripting languages.
- Understanding of the DoD acquisition processes and methods.
- Experience supporting DoD, NASA, or DARPA programs.
- Object Management Group (OMG) Certified System Modeler Professional (OCSMP) certification.
- INCOSE Systems Engineering Professional (SEP) certification (ASEP or CSEP).
Original Posting:August 18, 2026
Pay Range:Pay Range $107,900.00 - $195,050.00
The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
