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Physics Simulation Python Jobs in New Jersey (NOW HIRING)

Conduct research on next-generation physics-based simulation methods for design, control ... Strong proficiency in Python and C++ programming. * Experience working with international project ...

Proficient in Python for scientific computing, data analysis, and model deployment (e.g. NumPy ... Simulation & Engineering Tools Experience in one or more of the following: * Game-engine physics:

... physics and numerical simulations. * Experience with stellarators is a plus. * Proficiency in programming languages commonly used in scientific computing (e.g., Python, Fortran, C++, or MATLAB)

Computational Plasma Physicist

Kearny, NJ · On-site

$120K - $140K/yr

... physics and numerical simulations. * Experience with stellarators is a plus. * Proficiency in programming languages commonly used in scientific computing (e.g., Python, Fortran, C++, or MATLAB)

D. in Physics, Applied Physics, Electrical Engineering, or a closely related discipline. Technical ... Python MATLAB Employment Type: FULL_TIME

Divertor Plasma Physicist

Kearny, NJ · On-site

$120K - $170K/yr

Python, Fortran, C++, and MATLAB). * Familiarity with simulation tools used in plasma physics research. Preferred Skills: * Experience with edge plasma models such as FLARE, DESC, SOLPS, UEDGE, and ...

Python, Fortran, C++, and MATLAB). * Familiarity with simulation tools used in plasma physics research. Preferred Skills: * Experience with edge plasma models such as FLARE, DESC, SOLPS, UEDGE, and ...

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Physics Simulation Python information

What is the difference between Physics Simulation Python vs Mechanical Engineer?

AspectPhysics Simulation PythonMechanical Engineer
Required CredentialsProgramming skills, knowledge of physics, often a degree in physics or computer scienceMechanical engineering degree, professional licensure in some regions
Work EnvironmentSoftware development, research labs, simulation environmentsDesign offices, manufacturing plants, R&D departments
Industry UsageSimulation software development, research, academiaProduct design, manufacturing, systems optimization

Physics Simulation Python focuses on developing and implementing physics-based simulations using Python programming, often in research or software development contexts. Mechanical Engineers apply engineering principles to design, analyze, and manufacture mechanical systems. While both roles require a strong understanding of physics, Physics Simulation Python emphasizes coding and simulation, whereas Mechanical Engineering involves practical design and application in physical systems.

What are the key skills and qualifications needed to thrive as a Physics Simulation Python Developer, and why are they important?

To excel as a Physics Simulation Python Developer, you need a strong background in physics, mathematics, and proficiency in Python programming, often supported by a degree in physics, engineering, or computer science. Familiarity with simulation libraries (such as NumPy, SciPy, PyBullet, or SimPy), version control systems like Git, and experience with visualization tools are commonly required. Analytical thinking, problem-solving abilities, and effective collaboration are standout soft skills in this role. These skills enable the development of accurate, efficient simulations and foster productive teamwork in research or engineering projects.

What are some common challenges faced by professionals working in Physics Simulation with Python, and how can they be addressed?

Professionals in Physics Simulation with Python often encounter challenges such as optimizing simulation performance, ensuring numerical accuracy, and integrating complex libraries (e.g., NumPy, SciPy, PyBullet) into larger workflows. Addressing these issues typically involves using efficient coding practices, leveraging vectorized operations, and validating results with analytical solutions or experimental data. Collaboration with domain experts and regular code reviews can also help maintain code reliability and project scalability. Staying updated with the latest simulation frameworks and actively participating in open-source communities are excellent ways to overcome technical hurdles.

What is a Physics Simulation Python developer?

A Physics Simulation Python developer is a professional who uses the Python programming language to design, implement, and analyze simulations that model physical systems and phenomena. These simulations can range from simple particle motion to complex fluid dynamics or electromagnetic fields, and are widely used in research, engineering, gaming, and education. The developer typically utilizes scientific libraries such as NumPy, SciPy, and PyBullet, and may also work with visualization tools to present simulation results. Their work helps in understanding real-world physics problems, testing hypotheses, or creating realistic interactive environments.
What job categories do people searching Physics Simulation Python jobs in New Jersey look for? The top searched job categories for Physics Simulation Python jobs in New Jersey are:
What cities in New Jersey are hiring for Physics Simulation Python jobs? Cities in New Jersey with the most Physics Simulation Python job openings:
Infographic showing various Physics Simulation Python job openings in New Jersey as of June 2026, with employment types broken down into 83% Full Time, and 17% Temporary. Highlights an 84% In-person, and 16% Remote job distribution.
Modelling & Simulation Scientist, Computational Physics

Modelling & Simulation Scientist, Computational Physics

Mondelez International

East Hanover, NJ

Full-time

Medical, Life, Retirement, PTO

Posted 14 days ago


Mondelez International rating

6.9

Company rating: 6.9 out of 10

Based on 150 frontline employees who took The Breakroom Quiz

205th of 385 rated food and drinks producers


Job description

Job Description

Are You Ready to Make It Happen at Mondelez International?

Join our Mission to Lead the Future of Snacking. Make It With Pride.

Working as part of a cross-functional teamcovering broadmodellingdisciplines, you are an internallyrecognizedexpert in computational physics,a technical area of critical importance to the R&D function. Youidentify,defineand solve complex modelling and simulation problems, tackling R&D's highest priority ingredient, product, process, and packaging challenges. Applying your in-depth knowledge of this technical specialty, you will drive rapid, high-quality innovation capabilities across Mondelez's portfolio, spanning chocolate,biscuit, gum, and candy categories.

How you will contribute

You will bring computational physics modelling & simulation capabilities to Mondelez R&D's highest priority areas, developing solutions to move R&D work away from large, factory-scale trials towards small-scale or in silico predictions. Specifically, you will:

  • Design and deliver rapid simulation capabilities to drive solutions to business challenges.

  • Plan, lead, and manage modelling and simulation projects, scoping and proposing opportunities for sustained business impact.

  • Work closely with engineers and scientists to define complex technical challenges and agree on problem scope.

  • Communicate complex problems simply to non-technical audiences with relevant businesscontext.

  • Define the datarequiredto build models; collaborate with internal teams or externalorganizationsto collect this information, which may include designing experimental tests.

  • Use software tools to design, build, test, and implement simulations - or select and manage delivery through an external partner.

  • Ensure simulations arevalidatedagainst experimental data, including any required experiments or factory trials.

  • Deploy models via simple UIs using the Mondelez-approved technology stack, in collaboration with IT and/or external partners.

  • Establish strategy and roadmap for integrating computational physics into R&D business processes.

  • Quantify and communicate the value of computational physics to stakeholders, the associated plan, and embed learnings into business processes to accelerate innovation and optimization.

  • Author best-practice documentation and knowledge-basearticles from project learnings.

  • Share knowledge and coach junior colleagues, building internal modelling & simulation capability across R&D.

  • Maintain data management practices - ensuring models, datasets, and simulation outputs are documented and stored in line with company data governance policies.

  • Research and keep pace with developments in relevant modelling, simulation, and virtual prototyping techniques.

  • Provide regular project updates to senior stakeholders, flagging potentialimpedimentsand resource needs.

What you will bring

Physics & Modelling Fundamentals

  • Fundamental understanding of materials' physical properties: how these are measured and modelled (e.g.viscosity, thermal conductivity, rheology).

  • Solid understanding of how physical transformations can bemodelled(e.g.conduction of heat, fluid mixing, phase change).

  • Ability to decompose complex engineering problems into tractable steps and manage technical ambiguity.

  • Ability to create andvalidatemodels to test and predict real-world scenarios.

Programming & Software

  • Proficient in Python for scientific computing, data analysis, and model deployment (e.g.NumPy, SciPy, pandas, matplotlib).

  • Familiarity withadditionallanguages such as MATLAB, C++, or Julia isadvantageous.

  • Experience with machine learning and surrogate modelling frameworks (e.g.scikit-learn, TensorFlow, orPyTorch).

  • Version controlproficiencyusing Git / GitHub / GitLab for collaborative code management.

Simulation & Engineering Tools

Experience in one or more of the following:

  • Game-engine physics: Unreal Engine, PhysX, Unity

  • Computational fluid dynamics: ANSYS Fluent, COMSOL Multiphysics

  • Finite element analysis (ANSYS, Abaqus)

  • Process modelling:gPROMS, Witness, Aspen

  • Discrete element method: Rocky DEM, EDEM

  • Extended realities (AR/VR) forvisualization

  • Computer-aided design: Fusion 360, SolidWorks

Technical Rigor

  • Strong analytical problem-solving mindset;operateseffectively under ambiguity.

  • Works with independence and self-direction; takes ownership of technical decisions and outcomes.

  • Solidcommunication skills - able to present complex technical work in engaging presentations and clear written reports for diverse audiences.

  • Active listener who builds credibility through collaborative and inclusive ways of working.

  • Demonstrates a growthmindset:proactively seeks new knowledge and shares learnings with the team.

  • Comfortableinfluencingacross all levels of the organization, including senior leadership.

More about this role

What you need to know about this position: This is a technicalmodelerrole where you will work collaboratively to scope opportunities, define problems,identifysolutions, and build and deploy modeling and simulation techniques to support rapid product development decisions.

Education / Certifications: Master's degree in mathematical/computational/Theoretical Physics, or Engineeringrequired

Job specific requirements:

  • Ph.Din Mathematical/Computational/Theoretical Physics, or Engineering preferred

  • 3-5 years combined relevant experience (food and beverage experience preferred

Travel requirements: Up to 10%

Work schedule: Hybrid - 3 Days a week from office

Salary and Benefits:The base salary range for this position is $97,300 to $133,815; the exact salary depends on several factors such as experience, skills, education and location. In addition to base salary, this position is eligible for participation in a highly competitive bonus program with possibility for overachievement based on performance and company results. In addition, Mondelez International offers the following benefits: health insurance, wellness and family support programs, life and disability insurance, retirement savings plans, paid leave programs, education related programs, paid holidays and vacation time. Some of these benefits have eligibility requirements. Many of these benefits are subsidized or fully paid for by the company.No Relocation support availableBusiness Unit Summary

The United States is the largest market in the Mondelez International family with a significant employee and manufacturing footprint. Here, we produce our well-loved household favorites to provide our consumers with the right snack, at the right moment, made the right way. We have corporate offices, sales, manufacturing and distribution locations throughout the U.S. to ensure our iconic brands-including Oreo and Chips Ahoy! cookies, Ritz, Wheat Thins and Triscuit crackers, and Swedish Fish and Sour Patch Kids confectionery products -are close at hand for our consumers across the country.

Mondelez Global LLC is an Equal Opportunity Employer/Protected Veterans/Persons with Disabilities. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected Veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Applicants who require accommodation to participate in the job application process may contact 847-943-5460 for assistance.

For more information about your Federal rights, please seeeeopost.pdf; EEO is the Law Poster Supplement; Pay Transparency Nondiscrimination Provision; Know Your Rights: Workplace Discrimination is Illegal

Job TypeRegularScientific Modelling & SimulationScience & Engineering

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About Mondelez International

Sourced by ZipRecruiter

Mondelez International, headquartered in Chicago, IL, US, is a leading player in the global snack industry. Known for creating moments of joy in 160 countries, the company specializes in the production and distribution of biscuits, chocolates, gum, candy, cheese and grocery products. Mondelez International was formed in 2012 following the split of Kraft Foods Inc., with the aim to build the best snacking company in the world. The company’s mission centers on leading the future of snacking by offering the right snack, for the right moment, made the right way. Significant accomplishments include owning some of the world's favorite brands including Oreos, Cadbury, Trident, and Toblerone, and being recognized for reducing environmental footprints and championing sustainable ingredient sourcing.

Industry

Food and drink manufacturing

Company size

10,000+ Employees

Headquarters location

Chicago, IL, US

Year founded

1903