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    "requisitionDescription": "<div><p data-pasted=\"true\"><strong>Join North Wind &ndash; Accelerating Hypersonic Innovation</strong></p><p>At North Wind, we are advancing hypersonic technologies through cutting-edge research, system development, and flight testing. Our team drives innovation in high-speed aerodynamics, propulsion systems, and mission-critical components, supporting every phase of hypersonic programs&mdash;from R&amp;D to flight testing. If you are passionate about pushing technological boundaries in a dynamic environment, we invite you to join us.</p><p>&nbsp;</p><p><strong>Lead Engineer &ndash; Advanced Data Science for Aerospace Systems&nbsp;</strong></p><p>Key technical leadership position that drives the development and adoption of advanced data science methods with artificial intelligence (AI) and machine learning (ML) for aerospace ground and flight test techniques and modeling and simulation (M&amp;S) capabilities across North Wind. Experienced in the creation and application of neural networks for surrogate models and other ML approaches for aerospace domain problems. Practitioner of computational fluid dynamics (CFD) and / or finite element analysis (FEA) codes. Skilled communicator who can operate as an individual contributor and a leader while supporting engineers to learn new AI/ML methods.</p><p>&nbsp;</p><p><strong>Responsibilities:</strong></p><table border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"600\" data-pasted=\"true\"></table><table border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"600\"></table><p><strong data-pasted=\"true\">Development of AI/ML Tools for Aerospace Projects:</strong> Leads technical efforts to apply machine learning, artificial intelligence, and advanced data science methods to develop new ground and flight test techniques and M&amp;S capabilities and workflows, with specific application for a new wind tunnel facility complex. Performs CFD and / or FEA and develops scalable model training processes and algorithms to build fast-running surrogate models of complex physical processes. Supports the development and implementation of AI/ML for test facility digital twins and integration of M&amp;S workflows for multi-discipline design, analysis, and optimization and uncertainty quantification. Supports integration of wind tunnel facility data collection and use of AI for predictive maintenance.&nbsp;</p><p><strong data-pasted=\"true\">Advanced Data Science Strategy:</strong> Force multiplier who leads North Wind&rsquo;s ML adoption, including helping engineering leadership select and integrate new tools and processes leveraging advanced data science methods. Strategically recommends projects across North Wind where AI and ML will strengthen technical execution. Creates and leads training sessions with engineering staff to support AI/ML up-skilling. Builds a cadre of ML practitioners across North Wind. Recommends high performance computing hardware architectures to support North Wind AI/ML vision and strategy. Engages in technical forums, conferences, and working groups, with specific focus on ML applied to high-speed aerospace systems.</p><p><strong data-pasted=\"true\">Team Management &amp; Collaboration:</strong> Creates and leads highly functioning teams to develop AI/ML solutions and products. Effectively communicates the value proposition of advanced data science methods to grow team-wide understanding and interest. Fosters a collaborative and inclusive work environment.&nbsp;</p><p><strong>Preferred Education / Experience:</strong></p><ul><li>Advanced degree in Mechanical Engineering, Aerospace Engineering, or a related discipline&nbsp;</li><li>Minimum 7-10 years of experience in engineering projects pertinent to the responsibilities listed above</li><li>A combination of education and experience equivalent to above</li></ul><p><strong>Preferred Knowledge / Ability:&nbsp;</strong></p><ul><li>Strong knowledge of AI/ML tools, model training software, and technologies</li><li>Skilled in building data pipelines and ML models using modern software libraries, including applications for deep learning and Bayesian modeling</li><li>Proficient in aerospace industry standard CFD and / or FEA codes and tools</li><li>Experienced in uncertainty quantification in the aerospace domain&nbsp;</li><li>Deep understanding of engineering principles, including mechanical, electromechanical, and aerospace systems design, test, and evaluation</li><li>Proficiency in interpreting engineering plans, technical drawings, and specifications</li><li>Ability to define complex problems, analyze data, interpret abstract concepts, and develop effective solutions</li><li>Demonstrated leadership of cross-functional teams from project conception to completion; guiding teams through planning, execution, and delivery phases&nbsp;</li><li>Skilled in project management, prioritization, budgeting, and delivering results on time</li><li>Excellent written and verbal communication skills, with the ability to tailor messaging to technical and non-technical audiences</li><li>Proficient in Microsoft Office and engineering-related software tools</li><li>Active U.S. security clearance strongly preferred; candidates must be U.S. citizens and eligible to obtain and maintain a clearance</li></ul><p><strong>&nbsp;</strong></p><p><strong>Additional Preferred Qualifications:</strong></p><ul><li>Experience with aerospace test systems and / or vehicle development programs</li><li>Background in early-stage research and development, product development methodologies, and innovation strategy</li><li>Familiarity with Department of Defense (DoD) acquisition processes, R&amp;D funding, and technology development programs</li></ul><p>&nbsp;</p><p><strong>&nbsp;</strong></p><p>&nbsp;</p></div>\n",
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