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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Director - Digital Platforms - **Company:** North Inc - **Location:** Newport News, VA, United States - **Experience:** Expert - **Salary:** $135,000.0 - $200,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Artificial Neural Networks, Computer Vision, C++ (Programming Language), Computational Fluid Dynamics, Computer Simulation, Continuous Integration, Python (Programming Language), Machine Learning, Language Modeling, Monte Carlo Methods, Software Architecture, Wireless Sensor Networks, Software Engineering, Systems Integration, Web Platforms, Digital Twin, Model Validation, Generative AI, SC Clearance, Information Technology, Modeling and Simulation, Machine Learning Operations, Ansys, Data Pipelines, Data Generation - **Published:** September 13, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=e0b454ea583693a9 ## About the Role * 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 agencies such as DARPA, DoD, or DHS. * Demonstrated 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). Technical & Leadership Competencies * Physics & Modeling: Mastery of computational physics methodologies, Monte Carlo transport, deterministic numerical modeling, reduced-order modeling, or fluid dynamics applied to complex physical geometries and test environments. * Digital Twin & Synthetic Data: Deep experience building digital-twin representations of physical hardware/facilities/sensor systems to predict performance, generate synthetic data, and optimize operational efficiency. * Scientific Software Engineering: Proven leadership in C++, Python, and high-performance computing (HPC) workflows, emphasizing rigorous software architecture, DRY principles, modularity, and clear technical documentation. * Advanced AI/ML Integration: Familiarity integrating physics-informed machine learning, vision-language models, or generative AI into digital engineering and automated modeling toolchains. * Domain Discipline: Process discipline relevant to high-consequence physical systems (e.g., defense range operations, radiation/aerospace T&E, naval nuclear propulsion, or national lab facilities). * Clearance: Active Secret clearance with eligibility for Top Secret/SCI, or an active Top Secret/SCI clearance., * Ph.D. in Physics, Computational Engineering, Aerospace Engineering, or Nuclear Engineering. * Active TS/SCI security clearance. * Strong peer-reviewed publication record and recognized authority in computational modeling, material/system characterization, or scientific software development. * Prior experience leading DARPA, DHS, NNSA, or DoD test and evaluation (T&E) enterprise programs as a Principal Investigator (PI). * Expertise with specialized physics toolkits (e.g., OpenFOAM, ANSYS, GEANT4, MCNP), model reduction techniques, Julia (ModelingToolkit.jl), or OpenModelica. ## Description North Wind is seeking a visionary, technically elite Director, Digital Platforms to lead the architecture, development, and operational deployment of physics-informed digital twins, modeling and simulation (M&S) frameworks, and advanced digital engineering toolchains. This pivotal leadership role bridges high-fidelity computational physics, multi-spectral synthetic data generation, and enterprise digital ecosystem integration across complex physical test environments. The Director will oversee multi-disciplinary engineering teams responsible for creating high-confidence digital representations of complex test environments, high-speed range/facility operations, sensor arrays, and high-consequence physical systems. Operating at the intersection of computational modeling, software engineering, and AI/ML, you will establish foundational simulation and digital engineering capabilities that accelerate test and evaluation (T&E) cycles, reduce physical testing iterations, and validate mission performance across defense and national security domains. Responsibilities * Provide strategic, technical, and operational leadership over North Wind's digital engineering, modeling and simulation, and digital twin platforms. * You will direct the engineering lifecycle from fundamental computational model development to cloud-native, real-time digital twin deployments operating across Unclassified through Classified (TS/SCI) environments. * This role requires a rare combination of deep physical systems intuition, mastery of computational simulation methodologies (including Monte Carlo methods and deterministic physics solvers), and demonstrated success leading multi-disciplinary teams of scientists and software engineers. * Drive the integration of reduced-order modeling, physics-informed neural networks (PINNs), synthetic spectral/data libraries, and automated model calibration workflows against physical test article measurements and Data Acquisition (DAQ) systems. * Partner closely with executive leadership, national laboratory stakeholders, DoD program offices, and the Director of Mission Applications to ensure digital platform capabilities seamlessly feed operational mission tools. Key areas of responsibility include: * Strategic technical leadership and governance of North Wind's digital twin, digital engineering, and M&S technology roadmap. * Architecture and deployment of high-fidelity physical systems modeling (e.g., multi-physics transport, fluid dynamics, thermodynamics, radiation/spectral transport, structural dynamics) for complex test facilities and test articles. * Development and validation of synthetic data pipelines, Monte Carlo simulations, and physics-based surrogate models to augment physical test environments and sensor networks. * Integration of AI/ML, computer vision, Generative AI, and physics-informed neural networks into core simulation and modeling workflows. * Calibration and validation (V&V) methodologies comparing simulated platform output against physical sensor networks and high-speed data acquisition (DAQ) systems. * Delivery of scalable, cloud-agnostic digital engineering toolchains across secure domains (IL2 through IL7, CUI, Secret, and Top Secret/SCI). * Group leadership, technical mentoring, talent acquisition, and resource management across scientific software, physics, and AI/ML engineering teams. * Serving as Principal Investigator (PI) or senior executive sponsor on major DoD, DARPA, DHS, and national security research, development, test, and evaluation (RDT&E) initiatives. * Establishing software development discipline (DRY principles, modular architecture, comprehensive documentation, and robust CI/CD practices) for scientific and engineering codebases. ## Related Videos - [Data Science, ML & AI in the Oil and Gas Industry at NDT Global - Dr. Katja Träumner](https://www.wearedevelopers.com/videos/1308-data-science-ml-ai-in-the-oil-and-gas-industry-at-ndt-global-dr-katja-traumner) - [Cloud Vendor Lock-In - Is it just a new version of the Database Abstraction Layers?](https://www.wearedevelopers.com/videos/1185-cloud-vendor-lock-in-is-it-just-a-new-version-of-the-database-abstraction-layers) - [AI in Regulated Industry - Validating AI-Enabled Products with PLM and Digital Twins](https://www.wearedevelopers.com/videos/2065-ai-in-regulated-industry-validating-ai-enabled-products-with-plm-and-digital-twins) - [Strange New Worlds: shaping the future of the digital age](https://www.wearedevelopers.com/videos/677-strange-new-worlds-shaping-the-future-of-the-digital-age) - [Colorful quantum randomness](https://www.wearedevelopers.com/videos/100257-colorful-quantum-randomness) - [Every CEO needs a digital twin to understand the scope of generative AI](https://www.wearedevelopers.com/videos/1006-every-ceo-needs-a-digital-twin-to-understand-the-scope-of-generative-ai) ## Related Articles - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [Résumé-Driven Development: How IT trends affect the job market for software developers](https://www.wearedevelopers.com/magazine/59-resume-driven-development-how-it-trends-affect-the-job-market-for-software-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)