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Canonsburg, PA

Ansys
Canonsburg, PA

R&D Engineer II (MAPDL Material Modeling)
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About the job
Requisition #: 17071
Ansys is now a part of Synopsys. Synopsys, Inc. (Nasdaq: SNPS) accelerates technology innovation from silicon to systems. Catalyzing the era of pervasive intelligence, we deliver design solutions, from electronic design automation to silicon IP, to system design and multiphysics simulation and analysis. We partner closely with our customers across a wide range of industries to maximize their R&D capability and productivity, powering innovation today that ignites the ingenuity of tomorrow. Learn more at www.synopsys.com.
SUMMARY
You’ll work alongside a team of domain experts and software engineers to develop advanced nonlinear material models and implement innovative capabilities that enable simulation of real-world materials and behavior under complex conditions. This is a unique opportunity to have real-world impact, contribute to the future of engineering simulation, and grow your expertise at the intersection of mechanics, computation, and software development.
RESPONSIBILITIES
- Design, research, develop, and maintain advanced material constitutive models within the Ansys MAPDL finite element solver.
- Collaborate with cross-functional teams to translate complex physics and customer requirements into robust, scalable software solutions.
- Participate in technical discussions in projects involving material behavior such as plasticity, creep, damage, hyperelasticity, and viscoelasticity.
- Apply best practices in software engineering, performance optimization, and code quality.
- Investigate and resolve moderately complex bugs; work with QA and support teams to reproduce, diagnose, and fix customer-reported issues.
- Support long-term planning by researching new methods and understanding competitive landscapes
- Work under the guidance of a development manager while contributing independently to project goals.
MINIMUM QUALIFACTIONS
- Bachelor’s degree in Mechanical, Civil, Aeronautical Engineering, Applied Mechanics, or a closely related field with 2 years of experience in developing material constitutive models, or MS.
- Strong foundation in computational mechanics and nonlinear finite element analysis.
- Proficient in Fortran and/or C/C++, Python, and modern software development tools.
- Demonstrated ability to write robust, efficient, and maintainable code.
- Familiarity with cloud environments and commercial simulation software practices.
PREFERRED QUALIFICATIONS
- Ph.D. in Mechanical, Civil, Aeronautical Engineering, Applied Mechanics, or a closely related field with a focus on material constitutive modeling or solid mechanics.
-
Deep expertise in material constitutive model theory and implementation in areas such as:
- Plasticity including multisurface and pressure-dependent yield surfaces
- Creep, visco-elasticity, and viscoplasticity
- Damage and failure modeling
- Finite strain material modeling
- Solid knowledge of finite element theory, element formulation, and nonlinear solver strategies.
- Understanding of numerical methods, solution stability, and algorithm development.
- Experience developing within a large-scale commercial software environment.
- Strong programming fundamentals in object-oriented design, data structures, and performance optimization.
- Proven track record of successfully leading or contributing to technical projects, from design to delivery.
- Strong communication skills and the ability to work effectively in a distributed global team.
- Curiosity, initiative, and passion for solving complex engineering challenges.
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 Ansys, part of Synopsys, we want talented people of every background to feel valued and supported to do their best work. We consider all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability.
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