High Speed Systems Engineer

Looking for an opportunity to make an impact?

At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers’ success. We empower our teams, contribute to our communities, and operate sustainably. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community. Our Mission, Vision, and Values guide the way we do business.

Your greatest work is ahead!

Leidos Defense Systems is seeking a skilled Digital Systems Engineer who loves collaboration and being a part of something big, to join our team. As a Leidos Digital Systems Engineer, you will blend Systems Engineering, Systems Architecture, and technical Project Management to guide requirements definition, architecture working groups, and System Integration across the engineering lifecycle. You will leverage Model-Based Systems Engineering (MBSE) principles to establish seamless interoperability, oversee Risk Management within modeling environments, and deliver engineering solutions at the speed of relevance.

If this sounds like the kind of environment where you can thrive, keep reading!

Leidos Defense Systems Sector provides a diverse portfolio of systems, solutions, and services covering land, sea, air, space, and cyberspace for customers worldwide. Solutions for Defense include enterprise and mission IT, large-scale intelligence systems, command and control, geospatial and data analytics, cybersecurity, logistics, training, and intelligence analysis and operations support. Our team is solving the world’s toughest security challenges for customers with “can’t fail” missions. To explore and learn more, click here!

Are you ready to make an impact? Share your resume with us today!

Primary Responsibilities.  
•    Lead the structural and behavioral capture of high-speed system architectures in Cameo Systems Modeler / MagicDraw, creating and maintaining unified SysML Logical, Physical, and Allocative views.
•    Oversee the creation, maturation, and tracking of constrained-syntax requirements (utilizing EARS-aligned paradigms) to guarantee high-integrity requirement-to-verification traceability and robust test artifact mapping.
•    Develop, expand, and maintain complex parametric manufacturing and O&S lifecycle models within scripting environments (Excel, Python, MATLAB) to quantify systemic impacts of design alternatives and drive sensitivity analysis.
•    Formulate, manage, and facilitate multi-discipline requirements and architecture working groups to define cross-functional engineering interfaces and establish rigorous open-architecture configuration management.
•    Direct the execution of comprehensive trade studies, technical decision briefs, and executive white papers evaluating warfighter utility, manufacturing readiness, and lifecycle cost/benefit tradeoffs.
•    Build custom Velocity Template Language (VTL) scripts inside Cameo to automate the generation of dynamic contract deliverables, Interface Control Documents (ICDs), and program milestone design reviews.
•    Provide technical leadership within a matrixed team environment

Basic Qualifications.  
 

•    BS degree in Aerospace Engineering, Systems Engineering, Mechanical Engineering, Electrical Engineering, Industrial Engineering, Computer Engineering, Physics, or a related STEM discipline with 4+ years of experience
•    Proven proficiency with MBSE methodologies and direct architecture capture using SysML-compliant tools (specifically Cameo Systems Modeler or MagicDraw).
•    Hands-on experience developing or managing complex structural allocations (e.g., Block Definition and Internal Block Diagrams from L0 down to subsystem levels) and generating automated documents/reports via scripting (VTL, Python, or MATLAB).
•    Demonstrated experience drafting, analyzing, and decomposing technical requirement structures (preferably using EARS or automated requirements management tracking databases like DOORS).
•    Strong communication skills with a proven ability to lead small technical teams, align multidisciplinary engineering divisions, and present effectively internally/externally
•    Ability to work full-time onsite in a controlled area (SCIF environment) with a willingness to travel 10-20% to customer and partner organizations.
•    U.S. Citizenship is mandatory. Candidate must possess an active TS clearance

Preferred Qualifications.
 

•    Master's Degree in Aerospace Engineering,  Systems Engineering, Mechanical Engineering, Electrical Engineering, Industrial Engineering, Computer Engineering, Physics, or a related STEM discipline with 4+ years of experience
•    Industry experience covering high-speed dynamics, aerothermodynamics, hypersonics, or advanced propulsion areas
•    Advanced, administrative, or power-user experience with Cameo Systems Modeler / MagicDraw, IBM DOORS, SIMIO, or equivalent enterprise MBSE and requirements databases
•    Familiarity with DoD acquisition lifecycle and program processes
•    Experience applying parametric cost modeling, Monte Carlo techniques, or advanced mathematical trade studies to defense hardware acquisition programs.
•    ASEP/CSEP (INCOSE) or OMG Certified Systems Modeling Professional (OCSMP) credentials.

AppKinetic

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares.

Original Posting:

July 21, 2026

Pay Range:

Pay Range $87,100.00 - $157,450.00

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.