ZipRecruiter

Log In

1

Machine Learning Cfd Jobs in Boston, MA (NOW HIRING)

3ds

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 ...

Exponent Inc.

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

Exponent Inc.

Mechanical Engineer (Ph.D.)

Natick, MA · On-site

$135K - $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

NVA

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 ...

All JobsMachine Learning Cfd JobsMachine Learning Cfd Jobs in Boston, MA

Machine Learning Cfd information

See Boston, MA salary details

$11.9K

$101.1K

$143.4K

How much do machine learning cfd jobs pay per year?

As of Jun 9, 2026, the average yearly pay for machine learning cfd in Boston, MA is $101,051.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,900.00 and $119,500.00 per year, depending on experience, location, and employer.

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 are popular job titles related to Machine Learning Cfd jobs in Boston, MA? For Machine Learning Cfd jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Cfd jobs in Boston, MA look for? The top searched job categories for Machine Learning Cfd jobs in Boston, MA are:
What cities near Boston, MA are hiring for Machine Learning Cfd jobs? Cities near Boston, MA with the most Machine Learning Cfd job openings:
Machine Learning Cfd jobs near you

CFD Product Manager

3ds

Waltham, MA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 3 days ago

Job description

ROLE DESCRIPTION & RESPONSIBILITIES
We are seeking a technically oriented CFD Product Manager to contribute to the evolution of simulation products at the intersection of Computational Fluid Dynamics (CFD) and AI/ML. This role will support the development of next-generation capabilities that enhance engineering workflows through data-driven modeling, automation, and improved simulation efficiency.
You will work within a cross-functional environment alongside engineering, research, and product teams to help deliver solutions that enable faster insight, more scalable analysis, and improved decision-making for customers in industries such as aerospace, automotive, and industrial equipment.
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 practical and scalable way. You will be part of a broader effort to enhance simulation capabilities and deliver meaningful improvements to engineering productivity, while building experience across product management, simulation technology, and applied AI.
Support Development of the Vision & Strategy
  • 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

Execute the Roadmap
  • 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)

Support Agentic AI Innovation for Fluids
  • 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

Deliver Surrogate Modeling at Scale
  • 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
    Document and communicate requirements

Partner Across Disciplines
  • 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

Demonstrate Value
  • 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
  • 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 skills / experience
  • 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

Inclusion statement
In order to provide equal employment and advancement opportunities to all individuals, employment decisions at 3DS are based on merit, qualifications and abilities. 3DS is committed to a policy of non-discrimination and equal opportunity for all employees and qualified applicants without regard to race, color, religion, gender, sex (including pregnancy, childbirth or medical or common conditions related to pregnancy or childbirth), sexual orientation, gender identity, gender expression, marital status, familial status, national origin, ancestry, age (40 and above), disability, veteran status, military service, application for military service, genetic information, receipt of free medical care, or any other characteristic protected under applicable law. 3DS will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable state laws and local ordinances. We are committed to fair employment practices and will evaluate all candidates based on their qualifications, regardless of past arrest or conviction history.
Compensation & Benefits
Dassault Systèmes offers an excellent salary with potential for bonus, commensurate with experience. Benefits include a choice of plans providing comprehensive coverage for medical, dental, vision care for employee & dependents as well as employee life, short & long term disability, tuition reimbursement, immediate 401K enrollment, 401K match (50 cents on the dollar, up to the first 8% of your eligible compensation that you contribute based on match eligibility criteria), flexible time off policy, and 10 paid holidays.
Salary Pay Transparency
Compensation for the role will be commensurate with experience. The total expected compensation range will be between $97700 and $139500, representing the base salary (or annualized salary based on estimated hourly compensation) and target bonus.

Apply