CFD Product Manager
Waltham, MA · On-site
... machine learning • Translate product strategy into well-defined requirements, user stories, and ... optimize CFD simulations • Contribute to defining workflows where LLMs + physics models ...
CFD Product Manager
Waltham, MA · On-site
... machine learning • Translate product strategy into well-defined requirements, user stories, and ... optimize CFD simulations • Contribute to defining workflows where LLMs + physics models ...
CFD Product Manager
Waltham, MA · On-site
Advances in AI and machine learning are increasingly shaping the future of simulation-driven design. This role contributes to integrating these technologies into established CFD workflows in a ...
CFD Product Manager
Waltham, MA · On-site
Advances in AI and machine learning are increasingly shaping the future of simulation-driven design. This role contributes to integrating these technologies into established CFD workflows in a ...
... CFD techniques. * Build integrated multiscale frameworks that connect atomistic, mesoscale, and ... Familiarity with machine learning approaches applied to physical simulations (e.g., surrogate ...
... CFD techniques. * Build integrated multiscale frameworks that connect atomistic, mesoscale, and ... Familiarity with machine learning approaches applied to physical simulations (e.g., surrogate ...
... CFD solvers and meshing tools is also desirable: US3D, SPARC, FUN3D, Kestrel, Cart3D, Pointwise, and/or Link3D. Experience in surrogate modeling and machine learning is desired. The successful ...
... CFD solvers and meshing tools is also desirable: US3D, SPARC, FUN3D, Kestrel, Cart3D, Pointwise, and/or Link3D. Experience in surrogate modeling and machine learning is desired. The successful ...
... CFD solvers and meshing tools is also desirable: US3D, SPARC, FUN3D, Kestrel, Cart3D, Pointwise, and/or Link3D. Experience in surrogate modeling and machine learning is desired. The successful ...
... CFD solvers and meshing tools is also desirable: US3D, SPARC, FUN3D, Kestrel, Cart3D, Pointwise, and/or Link3D. Experience in surrogate modeling and machine learning is desired. The successful ...
... CFD solvers and meshing tools is also desirable: US3D, SPARC, FUN3D, Kestrel, Cart3D, Pointwise, and/or Link3D. Experience in surrogate modeling and machine learning is desired. The successful ...
... CFD solvers and meshing tools is also desirable: US3D, SPARC, FUN3D, Kestrel, Cart3D, Pointwise, and/or Link3D. Experience in surrogate modeling and machine learning is desired. The successful ...
... CFD solvers and meshing tools is also desirable: US3D, SPARC, FUN3D, Kestrel, Cart3D, Pointwise, and/or Link3D. Experience in surrogate modeling and machine learning is desired. The successful ...
... CFD solvers and meshing tools is also desirable: US3D, SPARC, FUN3D, Kestrel, Cart3D, Pointwise, and/or Link3D. Experience in surrogate modeling and machine learning is desired. The successful ...
Mechanical Engineer (Ph.D.)
Natick, MA · On-site
$140K - $160K/yr
Plus, we help you grow your career through mentoring, sponsorship, and a culture of learning ... Completion of formal coursework in machine design, mechanics of materials, and control systems
Mechanical Engineer (Ph.D.)
Natick, MA · On-site
$140K - $160K/yr
Plus, we help you grow your career through mentoring, sponsorship, and a culture of learning ... Completion of formal coursework in machine design, mechanics of materials, and control systems
Mechanical Engineer (Ph.D.)
Natick, MA · On-site
Plus, we help you grow your career through mentoring, sponsorship, and a culture of learning ... Completion of formal coursework in machine design, mechanics of materials, and control systems
Mechanical Engineer (Ph.D.)
Natick, MA · On-site
Plus, we help you grow your career through mentoring, sponsorship, and a culture of learning ... Completion of formal coursework in machine design, mechanics of materials, and control systems
Plus, we help you grow your career through mentoring, sponsorship, and a culture of learning ... Completion of formal coursework in machine design, mechanics of materials, and control systems
Plus, we help you grow your career through mentoring, sponsorship, and a culture of learning ... Completion of formal coursework in machine design, mechanics of materials, and control systems
Plus, we help you grow your career through mentoring, sponsorship, and a culture of learning ... Completion of formal coursework in machine design, mechanics of materials, and control systems
Plus, we help you grow your career through mentoring, sponsorship, and a culture of learning ... Completion of formal coursework in machine design, mechanics of materials, and control systems
Plus, we help you grow your career through mentoring, sponsorship, and a culture of learning ... Completion of formal coursework in machine design, mechanics of materials, and control systems
Plus, we help you grow your career through mentoring, sponsorship, and a culture of learning ... Completion of formal coursework in machine design, mechanics of materials, and control systems
Mechanical Engineer (Ph.D.)
Natick, MA · On-site
$140K - $160K/yr
Plus, we help you grow your career through mentoring, sponsorship, and a culture of learning ... Completion of formal coursework in machine design, mechanics of materials, and control systems
Mechanical Engineer (Ph.D.)
Natick, MA · On-site
$140K - $160K/yr
Plus, we help you grow your career through mentoring, sponsorship, and a culture of learning ... Completion of formal coursework in machine design, mechanics of materials, and control systems
Veterinary Radiologist
Woburn, MA · On-site
GE OE Elite CFD C-arm o 2024 installed internal MRI: Siemens Sempra o 2025 installed CT upgrade ... We know we are only as good as our teams, so we are committed to continuous learning and growth ...
Veterinary Radiologist
Woburn, MA · On-site
GE OE Elite CFD C-arm o 2024 installed internal MRI: Siemens Sempra o 2025 installed CT upgrade ... We know we are only as good as our teams, so we are committed to continuous learning and growth ...
Veterinary Radiologist
Woburn, MA · On-site
GE OE Elite CFD C-arm o 2024 installed internal MRI: Siemens Sempra o 2025 installed CT upgrade ... We know we are only as good as our teams, so we are committed to continuous learning and growth ...
Veterinary Radiologist
Woburn, MA · On-site
GE OE Elite CFD C-arm o 2024 installed internal MRI: Siemens Sempra o 2025 installed CT upgrade ... We know we are only as good as our teams, so we are committed to continuous learning and growth ...
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 Massachusetts? For Machine Learning Cfd jobs in Massachusetts, the most frequently searched job titles are:
- Home Based Agricultural Mechanical Engineer
- Summer Autodesk Internships
- Mechanical Engineer Designer
- Senior Mechanical Engineer Contract
- Mechanical Engineer
- Senior Mechanical Engineer Automotive
- Internship Shipyard Mechanical Engineer
- Internship Optimization Engineer
- Contract Forensic Mechanical Engineer
- Mechanical Design
What job categories do people searching Machine Learning Cfd jobs in Massachusetts look for? The top searched job categories for Machine Learning Cfd jobs in Massachusetts are:
- Internship Formula 1 Mechanical Engineering
- Solidworks Simulation
- Full Time Retired Mechanical Engineer
- Internship Ashrae
- Seasonal H1B Visa Mechanical Engineer
- Mechanical Engineer Wind Energy
- Internship Amazon Mechanical Engineering
- Remote Mechanical Engineer Government
- Remote Deloitte Mechanical Engineering
- Full Time Visa Sponsorship Mechanical Engineer
What cities in Massachusetts are hiring for Machine Learning Cfd jobs? Cities in Massachusetts with the most Machine Learning Cfd job openings:
Full-time
Posted 15 days ago
Job description
Job Summary:
Dassault Systèmes is seeking a technically oriented CFD Product Manager to contribute to the evolution of simulation products at the intersection of Computational Fluid Dynamics and AI/ML. This role supports the development of next-generation capabilities that enhance engineering workflows through data-driven modeling and automation.
Responsibilities:
• Support the development and refinement of product direction for AI/ML-enabled CFD solutions
• Identify and evaluate relevant use cases across aerodynamics, propulsion, thermal systems, and industrial flows
• Contribute to market and technology analysis related to simulation and machine learning
• Translate product strategy into well-defined requirements, user stories, and prioritized features
• Collaborate with development teams to deliver capabilities across simulation platforms, ML pipelines, and intelligent agents for workflow automation
• Balance enhancements to core simulation technologies (solvers, meshing, HPC/cloud) with AI/ML innovation (AI copilots, design agents)
• Work with technical teams to develop AI agents that can autonomously set up, run, analyze, and optimize CFD simulations
• Contribute to defining workflows where LLMs + physics models collaborate to accelerate engineering decisions
• Champion reduced-order models and ML-based surrogates to enable near real-time predictions
• Ensure seamless integration between high-fidelity CFD and fast, deployable ML models
• Partner with CFD engineers, data scientists, and software teams to ensure alignment on requirements and priorities
• Engage with internal stakeholders and customers to gather feedback and validate product direction
• Bridge deep technical domains with user-centric product thinking
• Test functionality as it’s developed
• Build compelling demos and use cases showing measurable gains (speed, cost, performance)
• Tell a clear story: from days/weeks of simulation → seconds/minutes of insight
Qualifications:
Required:
• Master’s Degree (2-5 years experience) or PhD degree (0-2 years experience) in Mechanical Engineering, Aerospace Engineering, Computer Science, or a related field
• Experience in product management, engineering, or a related technical role
• Strong background in CFD (industry experience or advanced degree)
• Experience with Navier-Stokes algorithms, RANS turbulence models, and body fitted meshing
• Experience in CFD Verification and Validation processes
• Understanding of CFD user landscape, ranging from designers to analysts
• Solid understanding of machine learning / AI, especially: Surrogate modeling, reduced-order modeling, Optimization, design space exploration
• Familiarity with LLMs and emerging agentic frameworks is a big plus
• Ability to translate complex technical concepts into clear product direction
• Strong collaboration and communication skills in cross-functional environments
• Curiosity, creativity, and a bias toward action
Preferred:
• Experience applying AI/ML to physics-based simulations
• Exposure to industries like automotive, aerospace, or heavy equipment
• Familiarity with cloud/HPC simulation environments
• Passion for building tools engineers actually love to use
Company:
Dassault Systèmes is a catalyst for human progress. Founded in 1981, the company is headquartered in Vélizy-villacoublay, FRA, with a team of 10001+ employees. The company is currently Late Stage.
Dassault Systèmes is seeking a technically oriented CFD Product Manager to contribute to the evolution of simulation products at the intersection of Computational Fluid Dynamics and AI/ML. This role supports the development of next-generation capabilities that enhance engineering workflows through data-driven modeling and automation.
Responsibilities:
• Support the development and refinement of product direction for AI/ML-enabled CFD solutions
• Identify and evaluate relevant use cases across aerodynamics, propulsion, thermal systems, and industrial flows
• Contribute to market and technology analysis related to simulation and machine learning
• Translate product strategy into well-defined requirements, user stories, and prioritized features
• Collaborate with development teams to deliver capabilities across simulation platforms, ML pipelines, and intelligent agents for workflow automation
• Balance enhancements to core simulation technologies (solvers, meshing, HPC/cloud) with AI/ML innovation (AI copilots, design agents)
• Work with technical teams to develop AI agents that can autonomously set up, run, analyze, and optimize CFD simulations
• Contribute to defining workflows where LLMs + physics models collaborate to accelerate engineering decisions
• Champion reduced-order models and ML-based surrogates to enable near real-time predictions
• Ensure seamless integration between high-fidelity CFD and fast, deployable ML models
• Partner with CFD engineers, data scientists, and software teams to ensure alignment on requirements and priorities
• Engage with internal stakeholders and customers to gather feedback and validate product direction
• Bridge deep technical domains with user-centric product thinking
• Test functionality as it’s developed
• Build compelling demos and use cases showing measurable gains (speed, cost, performance)
• Tell a clear story: from days/weeks of simulation → seconds/minutes of insight
Qualifications:
Required:
• Master’s Degree (2-5 years experience) or PhD degree (0-2 years experience) in Mechanical Engineering, Aerospace Engineering, Computer Science, or a related field
• Experience in product management, engineering, or a related technical role
• Strong background in CFD (industry experience or advanced degree)
• Experience with Navier-Stokes algorithms, RANS turbulence models, and body fitted meshing
• Experience in CFD Verification and Validation processes
• Understanding of CFD user landscape, ranging from designers to analysts
• Solid understanding of machine learning / AI, especially: Surrogate modeling, reduced-order modeling, Optimization, design space exploration
• Familiarity with LLMs and emerging agentic frameworks is a big plus
• Ability to translate complex technical concepts into clear product direction
• Strong collaboration and communication skills in cross-functional environments
• Curiosity, creativity, and a bias toward action
Preferred:
• Experience applying AI/ML to physics-based simulations
• Exposure to industries like automotive, aerospace, or heavy equipment
• Familiarity with cloud/HPC simulation environments
• Passion for building tools engineers actually love to use
Company:
Dassault Systèmes is a catalyst for human progress. Founded in 1981, the company is headquartered in Vélizy-villacoublay, FRA, with a team of 10001+ employees. The company is currently Late Stage.