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Internship Physics Simulation Jobs in Boston, MA

This is a paid six month internship/co-op. The position is based at the Dassault Systemes Office at ... Our vision is to transform engineering simulation by combining physics-based modeling, data-driven ...

Manufacturing Engineer

Walpole, MA

$79K - $102K/yr

... internships/co-ops. * Associate's degree in technical discipline with 4+ years of relevant ... Third Wave Systems or similar physics-based machining simulation. * Tap testing and modal analysis ...

... optical simulation and data analysis tools * Execute engineering experiments, including data ... Bachelor's or Master's degree in Optical Engineering, Physics, Electrical Engineering, or a related ...

Optical Systems Engineer

Reading, MA · On-site

$111K - $178K/yr

... optical simulation and data analysis tools * Execute engineering experiments, including data ... Bachelor's or Master's degree in Optical Engineering, Physics, Electrical Engineering, or a related ...

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Internship Physics Simulation information

What types of projects or tasks can I expect to work on during an internship physics simulation?

As a Physics Simulation intern, you'll typically assist with developing, testing, and refining simulation models under the guidance of experienced engineers or researchers. Tasks may include running computational simulations, analyzing data outputs, validating models against experimental results, and helping to optimize algorithms for efficiency and accuracy. You may also attend team meetings, collaborate with other interns or staff, and present your findings. This hands-on experience not only strengthens your technical skills but also exposes you to real-world problem-solving in a collaborative research or engineering environment.

What are the key skills and qualifications needed to thrive as an internship physics simulation, and why are they important?

To thrive in a Physics Simulation Internship, you generally need a solid background in physics, mathematics, and computer science, often supported by progress toward a relevant degree. Familiarity with simulation software (such as MATLAB, ANSYS, or COMSOL), programming languages like Python or C++, and data analysis tools is typically expected. Strong analytical thinking, problem-solving skills, and the ability to communicate complex ideas effectively are crucial soft skills. These qualifications enable interns to contribute meaningfully to simulation projects, interpret results accurately, and collaborate efficiently within multidisciplinary teams.

What is an internship physics simulation?

Internship Physics Simulation jobs are positions for students or recent graduates to gain practical experience working on the development and application of physics-based simulations. These internships typically involve collaborating with experienced researchers or engineers to model physical systems, design experiments, and analyze data using computational tools. Interns may work in industries such as gaming, engineering, research, or animation, applying physics principles to solve real-world problems or improve simulations. The experience gained helps prepare interns for careers in physics, engineering, or related fields.

What is the difference between Internship Physics Simulation vs Physics Engineer?

AspectInternship Physics SimulationPhysics Engineer
Required CredentialsTypically pursuing or recent graduate in physics, engineering, or related fieldBachelor's or master's degree in physics, engineering, or related discipline
Work EnvironmentInternship programs, research labs, or corporate R&D departmentsFull-time employment in R&D, product development, or simulation teams
Industry UsageEntry-level, learning-focused role often part of training programsProfessional role with responsibilities for developing and validating physics-based models

Internship Physics Simulation positions are typically entry-level, designed for students or recent graduates gaining practical experience. Physics Engineers are full-time professionals responsible for creating and applying physics models in real-world projects. While internships focus on learning and skill development, physics engineering involves ongoing project work and expertise application.

What are the most commonly searched types of Physics Simulation jobs in Boston, MA? The most popular types of Physics Simulation jobs in Boston, MA are:
What cities near Boston, MA are hiring for Internship Physics Simulation jobs? Cities near Boston, MA with the most Internship Physics Simulation job openings:
Infographic showing various Internship Physics Simulation job openings in Boston, MA as of August 2026, with employment types broken down into 8% Internship, 1% As Needed, 65% Full Time, 24% Part Time, 1% Temporary, and 1% Contract. Highlights an 86% Physical, 1% Hybrid, and 13% Remote job distribution.

INTERNSHIP: AI for CFD

3ds

Waltham, MA • On-site

Internship

Posted 29 days ago


Job description

Role Description & Responsibilities
Our Dassault Systemes SIMULIA brand provides best-in-class simulation technologies integrated into the 3DEXPERIENCE platform in the most effective way possible. The Fluids group in SIMULIA consists of a world-class group of experts who develop the next generation of fluids solver capabilities. As part of SIMULIA software simulation products, these innovations impact how Computational Fluid Dynamics (CFD) is used in many industrial settings worldwide.
We are looking for a CFD engineer with AI experience who can test and validate our AI-infused fluids technology. This is a paid six month internship/co-op. The position is based at the Dassault Systemes Office at 175 Wyman Street, Waltham, MA.
We are developing the next generation of Computational Fluid Dynamics technologies spanning advanced numerical methods, machine learning surrogate models, and agentic AI capabilities. Our vision is to transform engineering simulation by combining physics-based modeling, data-driven methods, and AI workflows into an integrated engineering platform.
We are seeking a highly motivated intern with interests spanning CFD, artificial intelligence, and product development.
This role offers a unique opportunity to work at the intersection of engineering simulation, AI, and product development. The intern will collaborate closely with software developers, AI engineers, and product managers to evaluate new capabilities, provide technical feedback, and help shape the future direction of AI-enabled engineering software. The position combines rigorous engineering validation with product-focused testing, ensuring that emerging technologies meet the standards required for industrial CFD applications.
We will provide you with the steps, tools, and leadership that will help advance your career at Dassault Systemes and help our customers reach their goals.
In this role you will:
  • Perform industrially-relevant CFD simulations
  • Validate machine learning surrogate models against high-fidelity CFD simulations and experimental data where appropriate
  • Test and validate new CFD solver capabilities, including verification of flow physics across representative engineering applications
  • Evaluate and test emerging AI-driven and agentic CFD workflows
  • Assess the quality, reliability, and usefulness of AI-generated engineering outputs
  • Work directly with developers to identify usability issues, performance gaps, and opportunities for improvement
  • Collaborate with product managers to define validation requirements, prioritize product improvements, and refine future capabilities
  • Document validation results, recommendations, and technical findings for both engineering and product teams

Qualifications
REQUIRED
  • Pursuing a Master's or Ph.D. degree in Mechanical Engineering, Aerospace Engineering, Applied Mathematics, or a related field
  • Strong understanding of CFD fundamentals including Navier-Stokes algorithms and turbulence modeling
  • Experience with one or more CFD tools such as: ANSYS Fluent, STAR-CCM+, OpenFOAM, Simcenter FLOEFD, COMSOL Multiphysics, or similar CFD software
  • Familiarity with AI and machine learning concepts.
  • Ability to work independently and collaboratively within a multidisciplinary team
  • Excellent written and verbal communication skills.
  • Ability to evaluate technical systems critically and provide actionable feedback.

Preferred
  • Experience applying machine learning to engineering or scientific problems
  • Experience developing or validating surrogate models or reduced-order models
  • Familiarity with large language models, generative AI, or agentic AI systems
  • Understanding of AI agents, multi-agent systems, or agentic workflows.
  • Exposure to simulation automation, scripting, or workflow orchestration.
  • Experience with Python and scientific computing libraries.

Shape your career with 3DS! #WeAre3DS
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.
Salary Pay Transparency
Compensation for the role will be commensurate with experience. The total expected compensation range will be between $23 and $40 per hour.