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Computational Modeling Simulation Multiphysics Jobs in Oviedo, FL

Ucf

Post Doctoral Scholar, Physics

Orlando, FL · On-site

Performing computational modeling using DFT, GC-DFT, MD (AIMD, classical force fields, MLIP force ... Experience in molecular dynamics simulations (including AIMD). * Experience with machine leaning ...

Ucf

Post Doctoral Scholar, Chemistry

Orlando, FL · On-site

$57K/yr

Conduct advanced computational chemistry research with a focus on nanophotonics, quantum mechanics, and machine learning-assisted modeling and simulations. * Prepare manuscripts and conference ...

Serco USA

Senior Systems Engineer

Orlando, FL · On-site

$97K - $133K/yr

... computational system performance including latency, bandwidth, jitter, and system occupancy ... for constructive simulation systems and models. * Knowledge of or experience with the Joint ...

WGI

Senior Software Engineer C++

Winter Springs, FL

$107K - $141K/yr

... C++ simulations that model real-world hydrology * Help evolve our Windows desktop applications and cloud-based SaaS offering * Tackle hard problems: computational efficiency, numerical stability ...

WGI

Senior Software Engineer C++

Winter Springs, FL · On-site

$107K - $141K/yr

... C++ simulations that model real-world hydrology * Help evolve our Windows desktop applications and cloud-based SaaS offering * Tackle hard problems: computational efficiency, numerical stability ...

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All JobsComputational Modeling Simulation Multiphysics JobsComputational Modeling Simulation Multiphysics Jobs in Oviedo, FL

Computational Modeling Simulation Multiphysics information

See Oviedo, FL salary details

$33.1K

$85.9K

$122.2K

How much do computational modeling simulation multiphysics jobs pay per year?

As of Aug 20, 2026, the average yearly pay for computational modeling simulation multiphysics in Oviedo, FL is $85,916.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,600.00 and $109,900.00 per year, depending on experience, location, and employer.

What is computational modeling simulation multiphysics?

Computational modeling simulation multiphysics refers to the use of computer-based models to simulate and analyze systems that involve multiple interacting physical phenomena—such as fluid dynamics, heat transfer, electromagnetics, and structural mechanics—all at once. This approach allows researchers and engineers to predict complex real-world behavior, optimize designs, and reduce the need for expensive prototypes. Multiphysics simulations are widely used in industries like aerospace, automotive, energy, and biomedical engineering, where accurate modeling of coupled physical processes is critical.

What are common challenges faced by professionals in computational modeling simulation multiphysics, and how can they be addressed?

One of the main challenges in Computational Modeling Simulation Multiphysics roles is managing the complexity of integrating multiple physical phenomena, such as thermal, structural, and fluid dynamics, into a single simulation. This often requires a deep understanding of both the underlying physics and the numerical methods used by simulation software. Collaborating closely with domain experts and maintaining clear communication within multidisciplinary teams can help address these challenges. Additionally, staying updated with advances in simulation tools and best practices through continuous learning is key to overcoming technical hurdles and ensuring accurate results.

What are the key skills and qualifications needed to thrive as a computational modeling simulation multiphysics engineer, and why are they important?

A strong background in physics, engineering, mathematics, and computational science—typically with an advanced degree—is essential for a Computational Modeling Simulation Multiphysics Engineer. Proficiency in simulation software such as ANSYS, COMSOL Multiphysics, MATLAB, and programming languages like Python or C++ is commonly required, along with familiarity with high-performance computing environments. Analytical thinking, problem-solving skills, and effective communication set standout professionals apart in this field. These capabilities enable accurate modeling of complex physical phenomena, efficient collaboration, and successful project outcomes in research and industry settings.

What is the difference between Computational Modeling Simulation Multiphysics vs Computational Engineer?

AspectComputational Modeling Simulation MultiphysicsComputational Engineer
CredentialsTypically requires degrees in engineering, physics, or related fields; certifications in simulation software are commonSimilar educational background; often holds engineering degrees and software certifications
Work EnvironmentPrimarily in R&D labs, engineering firms, or manufacturing settings focusing on complex simulationsInvolved in product development, software development, or systems design in various industries
Industry UsageUsed in aerospace, automotive, energy, and manufacturing for advanced simulationsApplied across industries for designing, analyzing, and optimizing systems and products

While both roles involve computational skills and engineering principles, Computational Modeling Simulation Multiphysics specializes in complex, multi-physics simulations, whereas Computational Engineer focuses on designing and implementing computational solutions across various engineering projects.

What cities near Oviedo, FL are hiring for Computational Modeling Simulation Multiphysics jobs?

Cities near Oviedo, FL with the most Computational Modeling Simulation Multiphysics job openings:

Computational Modeling Simulation Multiphysics jobs near you
Infographic showing various Computational Modeling Simulation Multiphysics job openings in Oviedo, FL as of August 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $85,916 per year, or $41.3 per hour.

Senior Materials Expert - AI‑Driven Materials Discovery

Siemens Energy, Inc.

Orlando, FL • On-site

Full-time

Medical, Retirement, PTO

Posted 21 days ago

Siemens Energy rating

8.3

Company rating: 8.3 out of 10

Based on 88 frontline employees who took The Breakroom Quiz

115th of 491 rated machine equipment manufacturers

Job description

A Snapshot of Your Day
As a Senior Materials Expert - AI-Driven Materials Discovery, you will lead the next generation of industrial materials innovation by leveraging artificial intelligence, advanced simulation, and emerging computing technologies to accelerate materials discovery and optimization across Siemens Energy's value chain. You will bridge materials science expertise with digital technologies by developing AI-driven workflows, computational models, and materials data platforms that reduce development time, improve performance, and enable scalable industrial solutions. Working across R&D, Engineering, IT, and business functions, you will lead interdisciplinary teams, drive strategic innovation initiatives, and translate scientific advancements into impactful applications and intellectual property.
How You'll Make an Impact
  • Lead the development and execution of AI-driven materials discovery strategies by designing machine learning models, computational simulations, and digital materials twins to predict material properties and accelerate innovation cycles
  • Develop and integrate advanced computational workflows, including AI/ML models, multi-scale simulations, density functional theory (DFT), molecular dynamics (MD), finite element modeling (FEM), and emerging quantum computing approaches to enable next-generation materials development
  • Build and manage materials data ecosystems by establishing data pipelines, supporting FAIR data standards, curating materials databases, and integrating experimental and computational datasets to improve data-driven decision-making
  • Conduct advanced materials research focused on structure-property-process relationships, including material selection, composites, polymers, alloys, metallurgy, characterization, testing, and failure analysis to support industrial applications
  • Lead interdisciplinary R&D programs by managing technical roadmaps, project milestones, research reviews, external partnerships, and collaboration across global teams, scientific networks, and innovation communities
  • Drive process innovation and knowledge development by mentoring scientists and engineers, establishing new research methodologies, communicating technical findings to leadership, and translating scientific results into scalable business solutions and intellectual property

What You Bring
  • Ph.D. or Master's degree in Materials Science, Chemical Engineering, Physics, Computer Science, Engineering, or a related technical field with a focus on computational materials science or a comparable discipline
  • 8+ years of experience leading research, engineering, or technology development projects in materials science, computational modeling, AI-driven innovation, or industrial R&D environments
  • Deep expertise in computational materials science, materials informatics, machine learning, data science, and simulation methods, with demonstrated experience applying AI/ML techniques such as neural networks, Bayesian optimization, generative models, or graph neural networks (GNNs)
  • Strong experience with materials modeling, experimental-computational integration, HPC environments, large-scale data processing, and advanced simulation techniques; knowledge of quantum computing concepts and algorithms for materials modeling preferred
  • Proven ability to lead cross-functional and matrix teams, influence stakeholders, manage complex technical programs, and translate scientific research into practical industrial applications
  • Excellent analytical, problem-solving, communication, and strategic thinking skills with the ability to collaborate effectively in a global, flexible, and innovation-focused environment; advanced English proficiency required, German language skills beneficial

Who is Siemens Energy?
At Siemens Energy, we are more than just an energy technology company. With ~100,000 dedicated employees in more than 90 countries, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one sixth of the world's electricity generation.
Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation.
Find out how you can make a difference at Siemens Energy: h ttps://www.siemens-energy.com/employeevideo
Rewards
  • Career growth and development opportunities; supportive work culture
  • Company paid Health and wellness benefits
  • Paid Time Off and paid holidays
  • 401K savings plan with company match
  • Family building benefits
  • Parental leave

https://jobs.siemens-energy.com/jobs
Equal Employment Opportunity Statement
Siemens Energy and Siemens Gamesa Renewable Energy is an Equal Opportunity and Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law.
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