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Machine Learning Cfd Jobs in Washington (NOW HIRING)

Performing computational fluid dynamics (CFD) and finite element analyses (FEA) to assess system ... Needs to occasionally move about inside the office to access file cabinets, office machinery, etc.

Performing computational fluid dynamics (CFD) and finite element analyses (FEA) to assess system ... Needs to occasionally move about inside the office to access file cabinets, office machinery, etc.

Naval Architect

Washington, DC · On-site

$77K - $128K/yr

Performing computational fluid dynamics (CFD) and finite element analyses (FEA) to assess system ... Needs to occasionally move about inside the office to access file cabinets, office machinery, etc.

... machine learning (ML), and augmented reality (AR). QinetiQ US's dedicated experts in defense ... Computational Fluid Dynamics (CFD) * Experience in additive manufacturing design, methods, and ...

... machine learning (ML), and augmented reality (AR). QinetiQ US's dedicated experts in defense ... Computational Fluid Dynamics (CFD) * Experience in additive manufacturing design, methods, and ...

... machine learning (ML), and augmented reality (AR). QinetiQ US's dedicated experts in defense ... Computational Fluid Dynamics (CFD) * Experience in additive manufacturing design, methods, and ...

... machine learning (ML), and augmented reality (AR). QinetiQ US's dedicated experts in defense ... Computational Fluid Dynamics (CFD) * Experience in additive manufacturing design, methods, and ...

... machine learning (ML), and augmented reality (AR). QinetiQ US's dedicated experts in defense ... Computational Fluid Dynamics (CFD) * Experience in additive manufacturing design, methods, and ...

... machine learning (ML), and augmented reality (AR). QinetiQ US's dedicated experts in defense ... Computational Fluid Dynamics (CFD) * Experience in additive manufacturing design, methods, and ...

... machine learning (ML), and augmented reality (AR). QinetiQ US's dedicated experts in defense ... Computational Fluid Dynamics (CFD) * Experience in additive manufacturing design, methods, and ...

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Machine Learning Cfd information

What are Machine Learning CFD jobs?

Machine Learning CFD (Computational Fluid Dynamics) jobs focus on integrating machine learning techniques with traditional fluid dynamics simulations and analyses. Professionals in this field use AI and data-driven models to accelerate simulations, improve prediction accuracy, and optimize fluid flow processes. These roles often require knowledge of both CFD principles and machine learning algorithms, and are commonly found in industries such as aerospace, automotive, and energy. Typical responsibilities include developing surrogate models for simulations, automating data analysis, and implementing deep learning approaches for complex flow problems.

How does a Machine Learning CFD professional typically collaborate with domain experts and software engineers in a project setting?

As a Machine Learning CFD (Computational Fluid Dynamics) professional, you’ll frequently collaborate with domain experts such as mechanical or aerospace engineers to ensure your models accurately reflect physical phenomena. You’ll also work closely with software engineers to integrate machine learning algorithms into simulation pipelines and optimize computational performance. Effective communication is key, as you’ll need to translate complex data-driven insights into actionable engineering solutions and vice versa. These collaborative efforts help streamline workflows, improve model accuracy, and ensure practical deployment of ML-enhanced CFD tools.

What is the difference between Machine Learning CFD vs Data Scientist?

AspectMachine Learning CFDData Scientist
Required CredentialsDegree in Engineering, Computer Science, or related fields; knowledge of CFD softwareDegree in Statistics, Computer Science, or related fields; strong programming skills
Work EnvironmentEngineering firms, aerospace, automotive industries, research labsBusiness, finance, tech companies, research institutions
Industry UsageSimulation, fluid dynamics, engineering analysisData analysis, predictive modeling, business insights

Machine Learning CFD focuses on applying machine learning techniques to computational fluid dynamics simulations, often within engineering contexts. Data Scientists analyze large datasets to extract insights and build predictive models across various industries. While both roles require programming skills and a strong analytical background, Machine Learning CFD emphasizes simulation and engineering applications, whereas Data Scientists focus on data-driven decision-making across diverse sectors.

What are the key skills and qualifications needed to thrive as a Machine Learning CFD (Computational Fluid Dynamics) Engineer, and why are they important?

To thrive as a Machine Learning CFD Engineer, you need a strong background in fluid dynamics, numerical methods, and machine learning, often supported by a degree in engineering, physics, or computer science. Familiarity with CFD software (such as ANSYS Fluent or OpenFOAM), programming languages like Python or C++, and machine learning frameworks (TensorFlow or PyTorch) is essential. Critical thinking, problem-solving, and effective communication are standout soft skills for interpreting data and collaborating on interdisciplinary teams. These competencies are crucial for developing innovative solutions that enhance simulation accuracy and computational efficiency in engineering projects.
What cities in Washington are hiring for Machine Learning Cfd jobs? Cities in Washington with the most Machine Learning Cfd job openings:
Lead Engineer - Advanced Data Science for Aerospace Systems

Lead Engineer - Advanced Data Science for Aerospace Systems

North Wind

Arlington, VA • On-site

$100K - $155K/yr

Full-time

Posted 23 days ago


Job description

Join North Wind – Accelerating Hypersonic Innovation

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—from R&D to flight testing. If you are passionate about pushing technological boundaries in a dynamic environment, we invite you to join us.

Lead Engineer – Advanced Data Science for Aerospace Systems

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&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.

Responsibilities:

Development of AI/ML Tools for Aerospace Projects: Leads technical efforts to apply machine learning, artificial intelligence, and advanced data science methods to develop new ground and flight test techniques and M&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&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.

Advanced Data Science Strategy: Force multiplier who leads North Wind’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.

Team Management & Collaboration: 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.

Preferred Education / Experience:

  • Advanced degree in Mechanical Engineering, Aerospace Engineering, or a related discipline
  • Minimum 7-10 years of experience in engineering projects pertinent to the responsibilities listed above
  • A combination of education and experience equivalent to above

Preferred Knowledge / Ability:

  • Strong knowledge of AI/ML tools, model training software, and technologies
  • Skilled in building data pipelines and ML models using modern software libraries, including applications for deep learning and Bayesian modeling
  • Proficient in aerospace industry standard CFD and / or FEA codes and tools
  • Experienced in uncertainty quantification in the aerospace domain
  • Deep understanding of engineering principles, including mechanical, electromechanical, and aerospace systems design, test, and evaluation
  • Proficiency in interpreting engineering plans, technical drawings, and specifications
  • Ability to define complex problems, analyze data, interpret abstract concepts, and develop effective solutions
  • Demonstrated leadership of cross-functional teams from project conception to completion; guiding teams through planning, execution, and delivery phases
  • Skilled in project management, prioritization, budgeting, and delivering results on time
  • Excellent written and verbal communication skills, with the ability to tailor messaging to technical and non-technical audiences
  • Proficient in Microsoft Office and engineering-related software tools
  • Active U.S. security clearance strongly preferred; candidates must be U.S. citizens and eligible to obtain and maintain a clearance

Additional Preferred Qualifications:

  • Experience with aerospace test systems and / or vehicle development programs
  • Background in early-stage research and development, product development methodologies, and innovation strategy
  • Familiarity with Department of Defense (DoD) acquisition processes, R&D funding, and technology development programs


North Wind Group logo

About North Wind Group

Sourced by ZipRecruiter

North Wind Group is a renowned engineering, construction, environmental, and technical services firm based in Idaho Falls, ID, United States. This U.S owned firm, with its robust portfolio, offers a wide range of services including, but not limited to, infrastructure, waste management, remediation, environmental, and construction services. North Wind Group was established in 1997 and since then, it has expanded its operations across the United States, becoming a national provider of high-quality, cost-effective technical and engineering solutions. The company's core values express its commitment to safety, integrity, customer service, innovation, and teamwork, which are all critical to its mission of delivering innovative and sustainable solutions aimed to protect the environment and improve the lives of communities.

Industry

Government relations and lobbying services

Company size

501 - 1,000 Employees

Headquarters location

Idaho Falls, ID, US

Year founded

1997

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