Director – Digital Platforms

North Wind

. Provide strategic, technical, and operational leadership over digital engineering, modeling and simulation, and digital twin platforms .

Posted 9/15/2026full-timeNewport News • Minnesota • United StatesLead💰 $135,000 - $200,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in digital engineering, modeling and simulation, and digital twin technologies, with a strong focus on leadership in multidisciplinary teams and advanced computational methodologies. Proven ability to deliver high-consequence systems in defense and national security environments while integrating AI/ML and high-performance computing.

Highest-signal resume keywords

Digital Twin DevelopmentModel Validation and CalibrationAI/ML IntegrationLeadership in C++ and PythonActive Secret Clearance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Computational Physics MethodologiesMonte Carlo TransportDeterministic Numerical ModelingReduced-Order ModelingFluid DynamicsSynthetic Data GenerationHigh-Speed Data AcquisitionDigital Engineering ToolchainsCloud-Native DeploymentsPhysics-Based Surrogate Models

Soft Skills

Technical LeadershipTeam ManagementMentoringStrategic PartnershipCollaboration

Tools & Technologies

High-Performance Computing (HPC)Cloud-Agnostic PlatformsSimulation WorkflowsData Acquisition SystemsPhysics-Informed Neural Networks

Certifications & Qualifications

Master’s Degree or Ph.D. in Related FieldActive Secret ClearanceEligibility for Top Secret/SCI

Industry Keywords

RDT&EDefenseAerospaceNational SecurityDoDDARPADHSCUIIL2 through IL7High-Consequence Systems

Tech Stack

Tools & technologies

CloudPythonC++

About the role

Key responsibilities & impact

Provide strategic, technical, and operational leadership over digital engineering, modeling and simulation, and digital twin platforms
Direct the engineering lifecycle from computational model development to cloud-native, real-time digital twin deployments across unclassified through classified environments
Lead architecture and deployment of high-fidelity physical systems modeling for complex test facilities and test articles
Develop and validate synthetic data pipelines, Monte Carlo simulations, and physics-based surrogate models
Integrate AI/ML, computer vision, generative AI, and physics-informed neural networks into simulation and modeling workflows
Establish calibration and validation methodologies using physical sensor networks and high-speed data acquisition systems
Deliver scalable, cloud-agnostic digital engineering toolchains across IL2 through IL7, CUI, Secret, and Top Secret/SCI domains
Lead, mentor, recruit, and manage multidisciplinary scientific software, physics, and AI/ML engineering teams
Serve as Principal Investigator or senior executive sponsor on DoD, DARPA, DHS, and national security RDT&E initiatives
Establish software development discipline including DRY principles, modular architecture, documentation, and CI/CD practices
Partner with executive leadership, national laboratories, DoD program offices, and mission applications leadership

Requirements

What you’ll need

Master’s degree or Ph.D. in Physics, Computational Engineering, Nuclear Engineering, Aerospace Engineering, Computer Science, or a closely related quantitative field
10+ years of professional RDT&E experience spanning physics-based modeling and simulation, digital twin development, or scientific software engineering within defense, aerospace, or national security domains
5+ years of direct technical leadership or group management experience leading multi-disciplinary teams of scientists, AI/ML researchers, and software engineers on milestone-driven defense or national laboratory programs
Proven track record serving as a Principal Investigator (PI) or key program lead delivering high-consequence physical, modeling, or digital engineering systems for DARPA, DoD, or DHS
Hands-on expertise in model validation, calibration, and synthetic data generation against physical sensor data or high-speed data acquisition (DAQ) systems
Experience deploying software solutions or modeling frameworks in regulated or classified defense environments (CUI, Secret, Top Secret/SCI)
Mastery of computational physics methodologies, Monte Carlo transport, deterministic numerical modeling, reduced-order modeling, or fluid dynamics
Deep experience building digital-twin representations of physical hardware, facilities, or sensor systems
Leadership in C++, Python, and high-performance computing (HPC) workflows
Familiarity integrating physics-informed machine learning, vision-language models, or generative AI
Experience in high-consequence physical systems domains
Active Secret clearance with eligibility for Top Secret/SCI, or an active Top Secret/SCI clearance
All candidates must be eligible to work in the United States

Benefits

Comp & perks

Equal opportunity employment
Pre-employment background checks and drug testing
Safe and drug-free workplace