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Computational Modeling Simulation Multiphysics Jobs in Pennsylvania

PPG Industries, Inc.

Modeling Engineer

Springdale, PA · On-site

... computational efficiency. Explore latest numerical methods (e.g., cohesive zone modeling, phase-field fracture, multi-scale modeling) to expand simulation capabilities. * Data-Driven & Hybrid ...

PPG

Modeling Engineer

Springdale, PA

... computational efficiency. Explore latest numerical methods (e.g., cohesive zone modeling, phase-field fracture, multi-scale modeling) to expand simulation capabilities. * Data-Driven & Hybrid ...

Leidos

Senior Kinetics DE/CD Engineer

King Of Prussia, PA · On-site

$100K - $135.90K/yr

Generate high-quality computational meshes using industry-standard meshing software such as ... Required Skills: * 12+ years of experience in digital engineering, CFD modeling, simulation, and/or ...

Leidos

Senior Kinetics DE/CD Engineer

King Of Prussia, PA · On-site

$131.30K - $237.35K/yr

Generate high-quality computational meshes using industry-standard meshing software such as ... Required Skills: * 12+ years of experience in digital engineering, CFD modeling, simulation, and/or ...

The Pennsylvania State University

... computing, modeling, simulation, systems, or data analysis approaches applied to biological or ... Computational and Data Sciences (including advanced computing infrastructure), the Materials ...

The Pennsylvania State University

$16/hr

... computational models of the human postural system. This position offers hands-on experience in ... Conduct simulations to analyze postural responses under various conditions * Validate model ...

Tt

Engineer Co-op

Philadelphia, PA

Its name derives from the union of computational modeling and research and development, which are ... Development of behavior trees for operational security simulations * Investigate methods for ...

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Computational Modeling Simulation Multiphysics information

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 are some common challenges faced by professionals in Computational Modeling Simulation Multiphysics roles, 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 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 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 are popular job titles related to Computational Modeling Simulation Multiphysics jobs in Pennsylvania? For Computational Modeling Simulation Multiphysics jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Computational Modeling Simulation Multiphysics jobs in Pennsylvania look for? The top searched job categories for Computational Modeling Simulation Multiphysics jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Computational Modeling Simulation Multiphysics jobs? Cities in Pennsylvania with the most Computational Modeling Simulation Multiphysics job openings:
Computational Modeling Simulation Multiphysics jobs near you
Applications Engineering, Staff Engineer - 16469

Applications Engineering, Staff Engineer - 16469

Synopsys

Canonsburg, PA • On-site, Remote

$112K/yr

Full-time

Posted 15 days ago

Job description

General Information
Job Title
Staff Engineer - AI/ML & Digital Twin
Job ID
16469
City
Canonsburg
State/Province
Pennsylvania
Date Posted
17-Mar-2026
Job Category
Engineering
Job Subcategory
Applications Engineering
Hire Type
Employee
Remote Eligible
Yes
Base Salary Range: $112000 - $168000
Descriptions & Requirements
Job Description and Requirements
We Are:
At Ansys, Part of Synopsys, we're the global leader in engineering simulation software, helping innovative companies solve complex design challenges. Our cutting-edge solutions power advancements across industries, from aerospace to consumer electronics. Join us and help shape the future of technology.
You Are:
You are a highly motivated engineer who thrives at the intersection of engineering simulation, data-driven methods, and AI/ML-enabled workflows. Your expertise allows you to operate confidently in customer-facing environments, translating complex, multidisciplinary challenges into scalable, practical solutions. You possess a strong foundation in simulation or engineering systems, hands-on experience with machine learning and automation, and the ability to engage as a trusted technical advisor.
You are energized by ambiguity, seeking out opportunities to enable new ways of working through automation, digital twins, and intelligent simulation workflows. You are passionate about democratizing simulation technology, making advanced capabilities accessible to a broader spectrum of users. Your approach is both strategic and hands-on, balancing high-level vision with detailed technical execution.
You excel in collaborative environments, working closely with cross-functional teams and customers to deliver impactful solutions. You advocate for innovation and continuous improvement, mentoring peers and championing best practices. Your communication skills enable you to distill complex concepts into actionable insights, fostering understanding across diverse audiences. Above all, you are driven by the desire to make a tangible impact in the world of engineering and technology.
What You'll Be Doing:
  • Lead and execute technical engagements across the customer lifecycle, including discovery, solution development, demonstrations, evaluations, and deployment.
  • Engage directly with customers to understand engineering workflows, data availability, and decision-making processes, translating them into AI-enabled simulation and digital engineering solutions.
  • Develop and implement differentiated solutions using technologies such as automation, reduced order modeling, optimization, simulation democratization, system-level modeling, and digital twins.
  • Integrate machine learning models within simulation and digital twin pipelines to improve prediction accuracy, reduce computational cost, and enable near real-time insights.
  • Define and deliver automated and scalable workflows that reduce reliance on expert-driven simulation and enable broader adoption across engineering teams.
  • Lead or contribute to first-of-a-kind or ambiguous use cases, including AI-assisted design exploration, surrogate modeling, and digital twin deployment.
  • Collaborate closely with product development teams to influence roadmap,validatenew capabilities, and improveusabilityof AI-enabled features.
  • Deliver professional services, training, and technical guidance to ensure successful adoption of advanced workflows.
  • Support pre-sales and technical marketing activities through demonstrations, evaluations, and industry engagement.

  • Mentor team members and contribute to the best internal practices around AI, automation, and simulation integration.

The Impact You Will Have:
  • Enable customers to transition from traditional simulation to AI-augmented and automated engineering workflows.
  • Reduce time-to-insight through surrogate modeling, optimization, and intelligent automation.
  • Expand access to simulation by supporting democratization across engineering and non-expert users.
  • Drive adoption of digital twin technologies for predictive and operational decision-making.
  • Influence product direction by connecting real-world use cases with next-generation AI-enabled capabilities.
  • Contribute to business growth through high-impact technical engagements and solution delivery.

What You'll Need:
  • MS (or PhD) in Engineering, Computer Science, Applied Mathematics, or relatedfield.
  • 5+ years of experience in engineering systems, simulation, or data-driven modeling.
  • Strong programming skills (Python preferred).
  • Experience working with modeling, simulation, optimization, or data-driven engineering workflows.
  • Strong analytical, problem-solving, and communication skills.
  • Ability tooperateeffectively in a customer-facing, consultative engineering role.
  • Proven experience in automation of engineering workflows or pipelines using tools such asoptiSLang,modeFrontier, HEEDS or equivalent.
  • Demonstratedexpertiseapplying machine learning techniques in engineering contexts, including surrogate modeling, regression methods, or neural networks (CNNs, RNNs, autoencoders).
  • Understanding ofprojection-based ROMs, dimensionality reduction, and feature engineering.
  • Knowledge of multi-fidelity system modeling using Twin Builder, Simulink,AMESimor equivalent.
  • Familiarity with deployment and operationalization of AI models, including integration into engineering workflows and use of frameworks such asPyTorch, TensorFlow, scikit-learn, Kubernetes, AWS/Azure equivalent.

  • Exposure tocloud or HPC-based environments for large-scale simulation or data processing.

Who You Are:
  • Customer-focused and able to build trusted relationships.
  • Comfortable working in ambiguous, fast-evolving technical environments.
  • A strong communicator who can translate complex concepts into actionable insights.
  • Self-driven, organized, and capable of managing multiple priorities.
  • A collaborative team player who contributes to a culture of learning and innovation.

The Team You'll Be A Part Of:
You will be part of a multidisciplinary engineering team focused on advancing industry adoption of simulation through AI, automation, digital twin, and MBSE technologies. The team collaborates closely with customers, product development, and go-to-market functions to deliver innovative, high-impact solutions.
Rewards and Benefits:
We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.
At Synopsys, we want talented people of every background to feel valued and supported to do their best work. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability.
In addition to the base salary, this role may be eligible for an annual bonus, equity, and other discretionary bonuses. Synopsys offers comprehensive health, wellness, and financial benefits as part of a competitive total rewards package. The actual compensation offered will be based on a number of job-related factors, including location, skills, experience, and education. Your recruiter can share more specific details on the total rewards package upon request. The base salary range for this role is across the U.S.
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About Synopsys

Sourced by ZipRecruiter

Synopsys, Inc. (Nasdaq:SNPS) is the Silicon to Software partner for creative companies developing the electronic products and software applications we rely on every single day. As the world's 15th largest software company, Synopsys has a long history of being a global leader in electronic design automation (EDA) and semiconductor IP and is also growing its leadership in software quality and security solutions. Whether you're a system-on-chip (SoC) designer building advanced semiconductors, or a software developer writing applications that require the highest quality and security, Synopsys has the solutions needed to deliver exceptional, secure products for the era of connected everything. The company is headquartered in Mountain View, California, and has approximately 113 offices located throughout North America, South America, Europe, Japan, Asia and India. Since 1986, Synopsys has been at the heart of accelerating electronics innovation with engineers around the world having used Synopsys technology to successfully design and create billions of chips and systems that are found in the electronics that people rely on every single day.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

Mountain View, CA, US

Year founded

1986

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