CFD Engineer
Newport News, VA · On-site
Apply advanced data science techniques with machine learning to build surrogate models of CFD simulation results. * Support the structural and thermal analysis teams by deriving pressure and ...
Quick apply
CFD Engineer
Newport News, VA · On-site
Apply advanced data science techniques with machine learning to build surrogate models of CFD simulation results. * Support the structural and thermal analysis teams by deriving pressure and ...
Research in the laboratory focuses on high-performance computing (HPC) methods in CFD, advanced algorithm development, data assimilation and scientific machine learning. The successful candidate will ...
Research in the laboratory focuses on high-performance computing (HPC) methods in CFD, advanced algorithm development, data assimilation and scientific machine learning. The successful candidate will ...
Apply advanced data science techniques with machine learning to build surrogate models of CFD simulation results. * Support the structural and thermal analysis teams by deriving pressure and ...
Quick apply
Apply advanced data science techniques with machine learning to build surrogate models of CFD simulation results. * Support the structural and thermal analysis teams by deriving pressure and ...
Lead Engineer - Advanced Data Science for Aerospace Systems
Newport News, VA · On-site
$100K - $155K/yr
Leads technical efforts to apply machine learning, artificial intelligence, and advanced data ... Performs CFD and / or FEA and develops scalable model training processes and algorithms to build ...
Quick apply
Lead Engineer - Advanced Data Science for Aerospace Systems
Newport News, VA · On-site
$100K - $155K/yr
Leads technical efforts to apply machine learning, artificial intelligence, and advanced data ... Performs CFD and / or FEA and develops scalable model training processes and algorithms to build ...
Leads technical efforts to apply machine learning, artificial intelligence, and advanced data ... Performs CFD and / or FEA and develops scalable model training processes and algorithms to build ...
Leads technical efforts to apply machine learning, artificial intelligence, and advanced data ... Performs CFD and / or FEA and develops scalable model training processes and algorithms to build ...
Lead Engineer - Advanced Data Science for Aerospace Systems
Arlington, VA · On-site
$100K - $155K/yr
Leads technical efforts to apply machine learning, artificial intelligence, and advanced data ... Performs CFD and / or FEA and develops scalable model training processes and algorithms to build ...
Quick apply
Lead Engineer - Advanced Data Science for Aerospace Systems
Arlington, VA · On-site
$100K - $155K/yr
Leads technical efforts to apply machine learning, artificial intelligence, and advanced data ... Performs CFD and / or FEA and develops scalable model training processes and algorithms to build ...
Naval Architect
$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.
Naval Architect
$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.
Naval Architect
$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.
Naval Architect
$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.
Naval Architect
$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.
Naval Architect
$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.
Naval Architect
$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.
Naval Architect
$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.
Naval Architect
$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.
Naval Architect
$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.
Naval Architect
$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.
Naval Architect
$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 ...
... 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 ...
Mechanical Engineer
Lorton, VA · On-site
... 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 ...
Mechanical Engineer
Lorton, VA · On-site
... 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 ...
Mechanical Engineer
Lorton, VA · On-site
... 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 ...
Mechanical Engineer
Lorton, VA · On-site
... 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 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?
| Aspect | Machine Learning CFD | Data Scientist |
|---|---|---|
| Required Credentials | Degree in Engineering, Computer Science, or related fields; knowledge of CFD software | Degree in Statistics, Computer Science, or related fields; strong programming skills |
| Work Environment | Engineering firms, aerospace, automotive industries, research labs | Business, finance, tech companies, research institutions |
| Industry Usage | Simulation, fluid dynamics, engineering analysis | Data 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 are popular job titles related to Machine Learning Cfd jobs in Virginia? For Machine Learning Cfd jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Machine Learning Cfd jobs in Virginia look for? The top searched job categories for Machine Learning Cfd jobs in Virginia are:
What cities in Virginia are hiring for Machine Learning Cfd jobs? Cities in Virginia with the most Machine Learning Cfd job openings:
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.
CFD Aerospace Engineer
The Computational Fluid Dynamics (CFD) Aerospace Engineer is a key contributor who develops and executes high-fidelity simulations to analyze aerodynamic performance, thermal environments, and complex flow physics for high-speed aerospace systems. This role supports system design and optimization by delivering accurate numerical insights validated against physical models and test data, while collaborating closely with multidisciplinary engineering teams.
Responsibilities:
- Develop, set-up, and execute CFD simulations using commercial or open-source solvers for high-speed aerospace system problems, including external and internal flows.
- Create aerodynamic databases for vehicle trajectory simulations and performance models.
- Perform analysis of internal flows of airbreathing propulsion flowpaths, including high-speed inlet systems with complex shock / boundary layer interactions and chemically reacting / combusting flows.
- Develop and recommend design solutions to optimize aerodynamic performance and operability for high-speed systems.
- Apply advanced data science techniques with machine learning to build surrogate models of CFD simulation results.
- Support the structural and thermal analysis teams by deriving pressure and aerothermal boundary conditions from CFD solutions.
- Support multidisciplinary design optimization (MDO) efforts, including integration of CFD-generated models with propulsion, structures, and controls simulations.
- Interpret and validate CFD simulation results against experimental data, translating findings into actionable insights in collaboration with multi-discipline teams.
- Contribute to process improvements by recommending advanced CFD methods, trajectory tools, optimization algorithms, or workflow enhancements.
- Prepare clear technical documentation, analysis summaries, charts, and presentations for internal reviews and external stakeholders.
- Interface with customer technical representatives to review and discuss analysis activities and results.
Preferred Education / Experience:
- Bachelor’s degree in aerospace engineering or a related field.
- 5+ years of experience in computational fluid dynamics (CFD) applied to aerospace systems; or a combination of education and experience equivalent to above.
Preferred Knowledge / Ability:
- Must be a self-starter, able to work on multiple projects, and prioritize workload.
- Proficient in CFD tools such as Pointwise and Tecplot for mesh generation software and post-processing results and familiarity with solvers such as VULCAN, CFD++ and CART3D
- Strong programming skills for modeling and analysis (e.g., Python, MATLAB / Simulink, Fortran, or C++), including scripting for automation of simulations and data reduction.
- Experience generating aerodynamic data for trajectory simulation, mission analysis, and performance trade studies.
- Experience with multidisciplinary design optimization frameworks and tools.
- Familiarity with high-performance computing (HPC) for large-scale CFD simulations, including operating in a Linux environment.
- Experience with testing and supporting the design of instrumentation layouts and test matrices for CFD comparisons and model validation.
- Strong written and verbal communication.
- Strong analytical mindset with rigorous attention to validation, verification, and engineering accuracy.
- Proficiency in interpreting engineering plans, technical drawings, and specifications.
- Active U.S. security clearance preferred; candidates must be U.S. citizens and eligible to obtain and maintain a clearance.
- Working knowledge of CAD systems, preferably Solidworks.
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