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 Leidoss 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 worlds toughest security challenges for customers with cant 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 includingMBSEICME 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 simulationsby synchronizing real-world data withcomputational predictionsandhigh-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 standardsto 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 bachelors 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 Masters 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
• Candidate must be a US Citizen and possess (and be able to maintain) a DOD Top Secret Clearance OR meet the eligibility to obtain (and maintain) a DOD Top Secret Clearance

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

Original Posting:

Pay Range:

The Leidos pay range for this job level is a general guideline onlyand 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.