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Computational Physicist Jobs (NOW HIRING)

Mondelez International

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 ...

Voltai

Computational Scientist

Palo Alto, CA · On-site

Required : • PhD in computational physics, applied mathematics, computational engineering, or a closely related field • Deep expertise in numerical PDE methods: FEM, FVM, or BEM -- weak ...

Voltai

Computational Scientist

Palo Alto, CA · On-site

PhD in computational physics, applied mathematics, computational engineering, or a closely related field * Deep expertise in numerical PDE methods: FEM, FVM, or BEM -- weak formulations, quadrature ...

Voltai, Inc

Computational Scientist

Palo Alto, CA · On-site

PhD in computational physics, applied mathematics, computational engineering, or a closely related field * Deep expertise in numerical PDE methods: FEM, FVM, or BEM - weak formulations, quadrature ...

Toyon

Computational Multiphysics Engineer

Goleta, CA · On-site

$125K - $195K/yr

While a background in electromagnetics and antenna design is ideal, we also welcome candidates with strong expertise in computational physics, fluid mechanics, thermodynamics, or materials science ...

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Computational Physicist information

What does a computational physicist do?

A computational physicist applies numerical analysis to solve problems or support theories in physics. In this career, you use knowledge from numerous disciplines, including physics, statistics, mathematics, and computer science, to test a theory. You use algorithms and other methodological tools to crunch large datasets using powerful computers, which helps in solving differential equations and other statistical problems. This can include Monte Carlo calculations and eigenvalue problems. Some people consider computational physics a branch of theoretical physics or its own discipline with specific duties and responsibilities.

What is the difference between Computational Physicist vs Data Scientist?

AspectComputational PhysicistData Scientist
Required CredentialsPhysics degree, often PhD, strong math and programming skillsStatistics, computer science, or related degree, often with a master's or PhD
Work EnvironmentResearch labs, academia, government agencies, scientific institutionsTech companies, finance, healthcare, consulting firms
Industry UsageScientific research, simulations, modeling physical systemsData analysis, predictive modeling, business insights

While both roles require strong programming and analytical skills, Computational Physicists focus on physical systems and scientific research, whereas Data Scientists analyze data to inform business decisions. The choice depends on your interest in scientific research versus data-driven applications.

What are some typical challenges computational physicists face when working on collaborative research projects?

Computational physicists often collaborate with experimentalists, engineers, and other researchers, which can present challenges such as bridging communication gaps between disciplines and integrating diverse data formats or methodologies. Coordinating project timelines to ensure that simulations align with experimental milestones is also common. Additionally, managing large datasets and ensuring reproducibility of results across different computing environments can require careful planning and documentation. Effective teamwork and adaptability are essential to overcome these hurdles and drive successful research outcomes.

What are the key skills and qualifications needed to thrive as a computational physicist, and why are they important?

To thrive as a Computational Physicist, you need a strong background in physics, mathematics, and computer science, typically supported by at least a master's or Ph.D. in physics or a related field. Proficiency in programming languages such as Python, C++, and MATLAB, as well as experience with simulation software and high-performance computing systems, is essential. Strong analytical thinking, problem-solving abilities, and effective teamwork skills help you tackle complex scientific challenges and collaborate on interdisciplinary projects. These skills are crucial for developing accurate models, efficiently solving intricate problems, and advancing scientific research through computational methods.

What is a computational physicist?

A computational physicist is a scientist who uses computer simulations, numerical analysis, and algorithms to solve complex physical problems that are difficult or impossible to address analytically. They work in fields like condensed matter physics, astrophysics, and materials science, modeling phenomena such as atomic interactions or galaxy formation. Their work often involves writing code, analyzing large datasets, and collaborating with experimental and theoretical physicists. Computational physicists play a key role in advancing scientific knowledge by providing insights where traditional methods fall short.
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Computational Physicist jobs near you
Infographic showing various Computational Physicist job openings in the United States as of August 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 74% In-person, 4% Hybrid, and 22% Remote job distribution.

Modelling & Simulation Scientist, Computational Physics

Mondelez International

On-site

Full-time

Medical, Life, Retirement, PTO

Re-posted 9 days ago

Mondelez International rating

6.8

Company rating: 6.8 out of 10

Based on 151 frontline employees who took The Breakroom Quiz

252nd of 438 rated food and drinks producers

Job description


Are You Ready to Make It Happen at Mondelēz International?
Join our Mission to Lead the Future of Snacking. Make It With Pride.
Working as part of a cross-functional team covering broad modelling disciplines, you are an internally recognized expert in computational physics, a technical area of critical importance to the R&D function. You identify, define and 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 business context.
  • Define the data required to build models; collaborate with internal teams or external organizations to 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 are validated against 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-base articles 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 potential impediments and 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 be modelled (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 and validate models 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 with additional languages such as MATLAB, C++, or Julia is advantageous.
  • Experience with machine learning and surrogate modelling frameworks (e.g. scikit-learn, TensorFlow, or PyTorch).
  • Version control proficiency using 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) for visualization
  • Computer-aided design: Fusion 360, SolidWorks

Technical Rigor
  • Strong analytical problem-solving mindset; operates effectively under ambiguity.
  • Works with independence and self-direction; takes ownership of technical decisions and outcomes.
  • Solid communication 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 growth mindset: proactively seeks new knowledge and shares learnings with the team.
  • Comfortable influencing across all levels of the organization, including senior leadership.

More about this role
What you need to know about this position: This is a technical modeler role where you will work collaboratively to scope opportunities, define problems, identify solutions, 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 Engineering required
Job specific requirements:
  • Ph.D in 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 available
Business Unit Summary
The United States is the largest market in the Mondelēz International family with a significant employee and manufacturing footprint. Here, weproduce 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.
Mondelēz 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 see eeopost.pdf; EEO is the Law Poster Supplement; Pay Transparency Nondiscrimination Provision; Know Your Rights: Workplace Discrimination is Illegal
Job Type
Regular
Scientific Modelling & Simulation
Science & Engineering

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About Mondelez International

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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

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