Digital Engineering Section Manager jobs in United States
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Leidos · 19 hours ago

Digital Engineering Section Manager

Leidos is a company that delivers innovative solutions through a diverse and talented workforce. They are seeking a Senior Digital Engineering Section Manager to lead the vision and implementation of digital twins and model-based systems engineering within their Advanced Materials Department.

ComputerGovernmentInformation ServicesInformation TechnologyNational SecuritySoftware
badNo H1BnoteSecurity Clearance RequirednoteU.S. Citizen Onlynote

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

Qualification

Digital EngineeringModel-Based Systems EngineeringAI/ML ToolsMulti-Physics SimulationProgramming LanguagesDigital Twin DevelopmentPhysics-Based SimulationProject ManagementCollaboration SkillsCommunication Skills

Required

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

Preferred

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.)

Company

Leidos is a Fortune 500® innovation company rapidly addressing the world’s most vexing challenges in national security and health.

Funding

Current Stage
Public Company
Total Funding
unknown
2025-02-20Post Ipo Debt
2013-09-17IPO

Leadership Team

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James Carlini
Chief Technology Officer
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Theodore Tanner
Chief Technology Officer
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Company data provided by crunchbase