Digital Engineering Section Manager

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Leidos' Defense Systems Kinetics Effects is seeking a Senior Digital Engineering Section Manager to join our Advanced Materials Department to accelerate our efforts to modernize and transform the way we work using digital technology advances. The candidate will lead the vision and implementation of digital twins, model-based systems engineering (MBSE), multi-physics simulation, AI/ML tools, and other digital twin integration within Leidos's Advanced Materials Department. Digital twin models serve as the definitive "connective tissue" of digital transformation by unifying structural frameworks like MBSE with high-fidelity multi-physics and Integrated Computational Materials Engineering (ICME), creating an engineering ecosystem where AI/ML can optimize the entire product lifecycle in real time. By integrating these disparate technologies into a single "system of systems," digital twins move beyond simple visualization to provide a predictive, autonomous environment that fundamentally accelerates innovation in advanced materials and manufacturing.

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!

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Primary Responsibilities.

As an integral member of the Advanced Materials Department, the successful candidate will serve as a Digital Engineering Section Manger. This position will balance multiple activities including but not limited to:

- Provide technical leadership for digital engineering, modeling, simulation & analysis tasking as able across various domains (vehicle dynamics, fluid dynamics, radiation, micromechanics of materials, thermodynamics, etc.).

- Digital materials and manufacturing strategy development - implement Digital Twin physics-based model approaches used to design, validate, and operate materials and processes that facilitate rapid and affordable technology development for both commercial and government customers.

- Design and develop computational approaches including MBSE, ICME, AI/ML tools, and digital twins for: materials, manufacturing, and first-of-a-kind products experiments, damage tolerance, and non-destructive evaluation.

- Validate multi-physics simulations by synchronizing real-world data with computational predictions and high-fidelity synthetic data creating a robust, self-correcting environment and ensuring that the virtual models accurately mirror physical performance across operational scales and environments.

- Establish a framework and interoperability standards to ensure that digital twin architectures are modular, scalable, and reusable across the entire product lifecycle.

- Work closely with experimentalists and other technical departments to develop, validate and refine computational models.

- Collaborate across functional teams and partners to develop digital twin architectures ensuring alignment across design, advanced manufacturing, and real-time operations while implementing rigorous industry standards.

- Engage the broader community to collaborate with academia, government, and industry to develop interoperable digital twin frameworks to accelerate joint innovation in advanced materials and manufacturing technologies.

- Analyze competitive products, technologies, and solutions, maintain cognizance of relevant national and international technology activities in government, industry, and academia and emerging innovations and technologies in relevant technology areas.

- Make recommendations for direction of research and development, recommend investments and collaborations to leverage the efficient use of capabilities and resources across the company.

- Provide guidance to program and organization leaders on readiness levels affecting planning, and implementation of digital transformation methods with respect to technology, costs, and project performance.

Basic Qualifications.

• Candidate must have a bachelor's degree in Software/Computer Engineering, Computer Science, Cyber Security Engineering, or other science or engineering domains with analysis or systems engineering focus from an ABET accredited institution with 8+ years; or Master's Degree with 6+ years applicable experience
• Candidates must have a strong technical background in systems engineering, physics-based simulation, and/or AI/data analytics
• Proficiency in programming or scripting languages
• Must be a resident of North Alabama area or willing to relocate in order to work on-site at the Huntsville, AL office

Preferred Qualifications.

• Experience working with aerospace systems and materials
• Experience working with AI, machine learning, and data analytics for predictive insights
• Experience validating digital models with data from test or manufacturing and interfacing with test or manufacturing operations to ensure the quality of collected data for this purpose
• Experience with programming languages (Python, MATLAB, C++, and/or other)
• Experience with modeling and simulation platforms/tools (SolidWorks, Siemens NX, AnyLogic, Simulink, Comsol, ANSYS Twin Builder, Flownex, and/or other)
• Project Management skills
• Experience developing digital twins and real-time simulation frameworks
• Prior experience managing direct reports is a plus
• Strong theoretical and practical understanding of relevant physics (e.g. thermodynamics, vehicle dynamics, micromechanics of materials, fluid dynamics, radiation, etc.).

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:
February 9, 2026

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

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.