Senior Explicit Dynamics Engineer

Monterrey - Mexico

Monthly Salary: Not Disclosed

Posted on: Yesterday

Vacancies: 1 Vacancy

Department:

Product Management

Job Summary

Design and execute explicit dynamic simulations using Explicit Dynamics solvers.
Develop parametric simulation templates and reusable playbooks that standardize virtual testing across product families.
Calibrate complex nonlinear material models including rate-dependent plasticity hyperelasticity and viscoelasticity using lab-generated coupon data. Integrate AI/ML techniques into your workflow to:
- Build surrogate models for rapid design screening.
- Apply active learning to identify the most informative physical tests.
- Quantify uncertainty and improve model robustness. o Automate simulation pipelines using Python and APDL and LS DYNA enabling scalable meshing parametric sweeps and post-processing.
Collaborate with lab technicians to ensure high-quality data acquisition and traceability for model correlation.
Lead the correlation effort between virtual and physical tests.
Mentor engineers and foster a culture of technical excellence creativity and continuous learning.
Champion innovation bringing a playful and curious mindset to problem-solving and simulation storytelling.

Qualifications :

B.S. degree in Engineering (Mechanical preferred) from an accredited university
Minimum of 8 years of hands-on experience in explicit dynamics simulation including impact drop crash and transient load scenarios.
Proficiency in explicit solvers such as LS-DYNA Abaqus/Explicit or Radios with demonstrated ability to model high-strain-rate events and contact interactions.
Deep understanding of nonlinear material behavior including rate-dependent plasticity hyperelasticity and viscoelasticity especially for polymers and composites.
Experience in developing and calibrating complex material models using coupon test data and integrating them into simulation workflows.
Strong command of Python for automating simulation tasks such as meshing parametric sweeps post processing and report generation (e.g. using PyAnsys Matplotlib).
Implementing active learning strategies to identify the most informative physical tests.
Supporting uncertainty quantification and sensitivity analysis in dynamic simulations.
Ability to work with multi-physics environments integrating structural thermal and fluid effects when needed.
Excellent communication skills and ability to collaborate with cross-functional teams including lab technicians data scientists and product engineers.
Strong documentation skills to contribute to credibility reports correlation matrices and simulation playbooks.

Remote Work :

Employment Type :

Full-time

Design and execute explicit dynamic simulations using Explicit Dynamics solvers.Develop parametric simulation templates and reusable playbooks that standardize virtual testing across product families.Calibrate complex nonlinear material models including rate-dependent plasticity hyperelasticity and ...

Design and execute explicit dynamic simulations using Explicit Dynamics solvers.
Develop parametric simulation templates and reusable playbooks that standardize virtual testing across product families.
Calibrate complex nonlinear material models including rate-dependent plasticity hyperelasticity and viscoelasticity using lab-generated coupon data. Integrate AI/ML techniques into your workflow to:
- Build surrogate models for rapid design screening.
- Apply active learning to identify the most informative physical tests.
- Quantify uncertainty and improve model robustness. o Automate simulation pipelines using Python and APDL and LS DYNA enabling scalable meshing parametric sweeps and post-processing.
Collaborate with lab technicians to ensure high-quality data acquisition and traceability for model correlation.
Lead the correlation effort between virtual and physical tests.
Mentor engineers and foster a culture of technical excellence creativity and continuous learning.
Champion innovation bringing a playful and curious mindset to problem-solving and simulation storytelling.

Qualifications :

B.S. degree in Engineering (Mechanical preferred) from an accredited university
Minimum of 8 years of hands-on experience in explicit dynamics simulation including impact drop crash and transient load scenarios.
Proficiency in explicit solvers such as LS-DYNA Abaqus/Explicit or Radios with demonstrated ability to model high-strain-rate events and contact interactions.
Deep understanding of nonlinear material behavior including rate-dependent plasticity hyperelasticity and viscoelasticity especially for polymers and composites.
Experience in developing and calibrating complex material models using coupon test data and integrating them into simulation workflows.
Strong command of Python for automating simulation tasks such as meshing parametric sweeps post processing and report generation (e.g. using PyAnsys Matplotlib).
Implementing active learning strategies to identify the most informative physical tests.
Supporting uncertainty quantification and sensitivity analysis in dynamic simulations.
Ability to work with multi-physics environments integrating structural thermal and fluid effects when needed.
Excellent communication skills and ability to collaborate with cross-functional teams including lab technicians data scientists and product engineers.
Strong documentation skills to contribute to credibility reports correlation matrices and simulation playbooks.

Remote Work :

Employment Type :

Full-time

Key Skills

Junit
Customer Service
Freelancing
Industrial Safety
ACCA
Arbitration

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Fortune Brands

Fortune Brands Innovations, Inc. is an industry-leading innovation company focused on creating smarter, safer and more beautiful homes and improving lives. Our driving purpose is that we elevate every life by transforming spaces into havens. We believe our work and our brands can have ... View more

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