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Computational Modeling Jobs (NOW HIRING)

Toyon

Computational Multiphysics Engineer

Goleta, CA

$125K - $195K/yr

We are seeking a Computational Multiphysics Engineer with expertise in numerical methods and ... Use commercial and proprietary modeling tools to simulate and optimize antenna systems and RF ...

Novelis Global R&T

Lead Modeling Scientist

Kennesaw, GA · On-site

Develop and maintain Integrated Computational Materials Engineering (ICME) models that connect process parameters, microstructure, and properties for flat aluminum sheet products, including processes ...

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How much do computational modeling jobs pay per hour?

As of Jul 23, 2026, the average hourly pay for computational modeling in the United States is $54.93, according to ZipRecruiter salary data. Most workers in this role earn between $46.88 and $73.56 per hour, depending on experience, location, and employer.

What jobs in the US pay 300,000 a year?

In computational modeling, senior roles such as lead data scientist, quantitative analyst, or research scientist with extensive experience and advanced skills in programming, machine learning, and statistical analysis can reach or exceed a $300,000 annual salary. These positions often require advanced degrees, strong domain expertise, and may be found in finance, technology, or research institutions. Compensation varies based on industry, location, and level of responsibility.

What is a Computational Modeling job?

A Computational Modeling job involves developing and using mathematical models, simulations, and algorithms to analyze complex systems across various fields, such as engineering, physics, biology, and finance. Professionals in this role apply computational techniques to study real-world phenomena, predict outcomes, and optimize processes. They often work with programming languages, statistical methods, and high-performance computing to create accurate and efficient models.

Is 3D modeling a high paying job?

3D modeling can be a well-paying career, especially for experienced professionals working in industries like gaming, film, or product design. Salaries vary based on skill level, industry, location, and the complexity of projects, with advanced 3D modelers often earning higher wages and working with specialized software such as Blender or Maya.

What is the highest paying job in computational biology?

The highest paying roles in computational biology are often senior positions such as Director of Computational Biology or Principal Scientist, which can earn six-figure salaries. These roles typically require advanced degrees, extensive experience, and expertise in areas like machine learning, bioinformatics tools, and programming languages such as Python or R.

What are the key skills and qualifications needed to thrive in the Computational Modeling position, and why are they important?

To thrive in computational modeling, a strong background in mathematics, computer science, and domain-specific knowledge (such as engineering, physics, or biology) is essential, often supported by at least a bachelor's or master's degree in a related field. Familiarity with programming languages like Python, MATLAB, or R, as well as experience with simulation software and data analysis tools, is typically required. Strong problem-solving, analytical thinking, and effective communication skills set outstanding candidates apart. These abilities enable professionals to build accurate models, collaborate successfully with interdisciplinary teams, and translate complex results into actionable insights.

What does a typical day look like for someone working in computational modeling?

A typical day for a computational modeling professional often involves developing and refining mathematical or computer-based models, running simulations, and analyzing large datasets to draw meaningful conclusions. You’ll collaborate closely with domain experts, engineers, and researchers to ensure models accurately reflect real-world processes. The role may also involve presenting findings to stakeholders, troubleshooting code or software issues, and keeping up with new modeling techniques and industry advancements. This dynamic environment requires balancing independent problem-solving with teamwork and communication.

What is a computational modeler?

A computational modeler is a professional who develops and uses computer-based models to simulate complex systems or processes. They often work with programming languages, mathematical algorithms, and data analysis tools to create accurate representations for research, engineering, or scientific purposes.
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Computational Modeling jobs near you
Infographic showing various Computational Modeling job openings in the United States as of July 2026, with employment types broken down into 68% Full Time, 31% Part Time, and 1% Contract. Highlights an 66% Physical, 2% Hybrid, and 32% Remote job distribution, with an average salary of $114,249 per year, or $54.9 per hour.

Laser Plasma Interaction Computational Physicist

Xcimer Energy

Denver, CO • On-site

$170K - $210K/yr

Full-time

Posted 21 days ago

Job description

Xcimer Energy leverages decades of research on Inertial Fusion Energy (IFE) combined with groundbreaking new laser architecture. Our mission is to deploy fusion power plants to meet global decarbonization goals as fast as possible. Xcimer has assembled a team of leaders in tough tech, fusion science, and manufacturing with a track record of rapid execution. Supported by leading investors, Xcimer is uniquely positioned to deliver limitless, clean, fusion power to combat climate change. Join us in powering a better world with inertial fusion!
 
This is a full-time, onsite role based at our headquarters in Denver, CO.
 
As a Laser Plasma Interaction (LPI) Computational Physicist, you will develop and extend Xcimer’s laser plasma interaction (LPI) modeling capabilities through both community simulation tools and next-generation in-house code development. You will support the development of computational frameworks that model collisional plasma kinetics, paraxial laser propagation, and coupled LPI phenomena critical to Xcimer’s fusion systems. We are looking for physicists to apply their expertise in plasma physics, scientific computing, and high-performance simulation to positively impact the future of energy! 
Responsibilities
  • Deploy, configure, and extend existing simulation tools such as WarpX and LPSE to model laser plasma interaction phenomena relevant to Xcimer’s laser architecture.
  • Develop workflows, simulation setups, post-processing pipelines, and benchmarking methodologies for efficient and repeatable simulation execution.
  • Lead the design and development of in-house LPI simulation software focused on collisional kinetics and paraxial laser propagation models.
  • Architect simulation software using modular, extensible, and maintainable scientific software frameworks with strong emphasis on composability and long-term scalability.
  • Implement and validate core physics models including collisional plasma kinetics, paraxial laser propagation, stimulated Raman scattering (SRS), stimulated Brillouin scattering (SBS), filamentation, and cross-beam energy transfer (CBET).
  • Perform verification, convergence studies, and benchmarking against existing tools, published results, and experimental data to ensure numerical robustness and model credibility.
  • Optimize simulation software for high-performance computing environments, including parallelization and scalability across modern compute architectures.
  • Maintain rigorous software engineering practices including version control, automated testing infrastructure, documentation, and reproducibility standards.
  • Collaborate cross-functionally with laser architecture, gas optics, radiation hydrodynamics, experimental physics, and other engineering teams to prioritize simulation efforts and integrate modeling outputs into broader system development activities.
  • Contribute to Xcimer’s long-term computational modeling strategy by identifying opportunities to integrate new physics capabilities and couple simulation domains through shared modular architectures.
Qualifications
  • Education: PhD in Computational Physics, Plasma Physics, Applied Physics, or a closely related technical field.
  • Strong software development skills in scientific computing using modern C++ and Python.
  • Experience developing physics simulation codes with emphasis on modular software architecture, maintainability, and software quality.
  • Strong understanding of laser plasma interaction physics, collisional plasma kinetics, and laser propagation models.
  • Familiarity with numerical methods for partial differential equations, kinetic plasma simulations, and/or paraxial wave equations.
  • Experience using, extending, or validating community simulation tools such as particle-in-cell (PIC) or fluid plasma codes.
  • Experience working independently and leading technically complex software development efforts.
  • Must be a U.S. citizen or national, U.S. permanent resident (current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.
Desired
  • Experience with WarpX, LPSE, pF3D, or similar laser plasma interaction simulation tools.
  • Experience with high-performance computing, including MPI/OpenMP parallelization and/or GPU acceleration.
  • Familiarity with modern scientific software architectures including plugin systems, composable frameworks, or modular physics engines.
  • Experience within inertial confinement fusion (ICF), high-energy-density physics, or advanced plasma modeling environments.
  • Demonstrated experience building extensible scientific software platforms that support long-term collaboration and multi-user development.
Candidates may be considered for other positions at Xcimer Energy, and our actual base salary will be determined on an individual basis and may vary based on job-related knowledge and skills, education, and experience. The range is published in accordance with Colorado Equal Pay for Equal Work Act and California Equal Pay Act.
Equal Employment Opportunity
Xcimer Energy is proud to be an Equal Opportunity/Affirmative Action Employer and is committed to attracting, retaining, and developing a highly qualified, diverse, and dedicated work force. Xcimer Energy hires and promotes people on the basis of their qualifications, performance, and abilities. We support the establishment and maintenance of a workplace that fosters trust, equality, and teamwork, in which all employees recognize and appreciate the diversity of individual team members. We provide all qualified applicants for employment and employees with equal opportunities for hire, promotion, and other terms and conditions of employment, regardless of their race, color, religion, gender, sexual orientation, gender identity, national origin/ethnicity, age, physical or mental disability, genetic factors, military/veteran status, or any other status or characteristic protected by federal, state, and/or local law. Xcimer Energy will consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state, and local laws. For more information on “EEO Is the Law,” please see here and here.
 
Benefits
Xcimer offers a comprehensive benefits package designed to support employee health, well-being, and long-term success. Benefits include medical, dental, and vision coverage; basic and supplemental life insurance; short- and long-term disability; paid parental leave for employees at the time of birth or adoption; and a 401(k) with a company match of up to 6%. Eligible employees also receive equity, allowing them to share in the company’s long-term success.
Xcimer operates under a flexible Paid Time Off (ATO) approach. Rather than a fixed number of vacation days, employees are trusted to take the time they need to rest and recharge while meeting the expectations of their role and team. In addition, employees receive paid sick time, 13 company-paid holidays, and an annual paid company shutdown. Benefits are available to regular employees, including part-time and fixed-term roles, as well as interns, with eligibility varying by benefit.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.