Digital Engineering Section Manager

Leidos•Huntsville, AL

10h•Onsite

About The Position

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

Requirements

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
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

Nice To Haves

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.)

Responsibilities

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.