Senior R&D Engineer - Modeling & Simulation

Medtronic•Irvine, CA

4d•$105,600 - $158,400•Onsite

About The Position

We are currently looking for a Senior R&D Engineer, Modeling & Simulation, to join our Neurovascular Operating Unit in Irvine, California. Be a part of engineering a comprehensive portfolio of proven, powerful neurovascular technologies, setting the highest standards of integrity and reliability in Acute Ischemic and Hemorrhagic Stroke Care. Work independently under general supervision within a computational modeling team to generate new simulation tools or apply existing tools for the prediction of device performance and safety. At Medtronic, we bring bold ideas forward quickly and decisively to put patients first in everything we do. In-person exchanges are invaluable to our work. We’re working at least four days a week onsite as part of our commitment to professional growth and cross-functional collaboration as we engineer the extraordinary.

Requirements

A bachelor's degree in a technical discipline
Minimum 4 years of experience in using Abaqus Implicit and Explicit solvers to solve real-life biomedical engineering problems.
OR Master's degree with a minimum of 2 years relevant experience OR PhD with 0 years relevant experience.

Nice To Haves

Master's or PhD in Biomedical Engineering, Mechanical Engineering, Applied Mechanics, Computational Mechanics, or a related discipline with research focused on computational modeling of medical devices, vascular implants, stents, heart valves, or soft tissues.
Experience with multiple FEA platforms, including FEBio, ANSYS, LS-DYNA, COMSOL, or similar software, in addition to Abaqus.
Advanced experience with constitutive model development, user material subroutines (UMAT/VUMAT), or custom material modeling approaches.
Experience modeling soft tissue biomechanics, vascular mechanics, fluid-structure interaction (FSI), or device-tissue interactions.
Experience with CAD modeling using SolidWorks.
Programming experience in Python, MATLAB, C++, or other scientific computing languages.
Experience running large-scale simulations on high-performance computing (HPC) clusters.
Demonstrated experience authoring technical reports, publications, regulatory submissions, or peer-reviewed research.
Effective collaboration with R&D engineers on material characterization, bench testing, and model validation activities.
Experience mentoring engineers and serving as a technical lead for computational modeling initiatives.

Responsibilities

Develop, implement, and utilize advanced finite element analysis (FEA) models to support the design, development, and evaluation of neurovascular devices.
Apply deep knowledge of solid mechanics, continuum mechanics, constitutive modeling, nonlinear material behavior, contact mechanics, large deformation analysis, and failure mechanics to solve complex biomedical engineering challenges.
Develop and validate material models for polymers, metals, braided structures, biological tissues, and other medical device materials using experimental characterization data.
Build, execute, and interpret simulations using commercial and open-source FEA platforms such as Abaqus, FEBio, ANSYS, LS-DYNA, or equivalent structural mechanics software.
Design and perform structural, quasi-static, dynamic, fatigue, and explicit analyses to evaluate device deployment, durability, performance, and interaction with vascular anatomy.
Experience with model verification, validation, statistical shape modeling, and uncertainty quantification in accordance with V&V 40.
Experience with anatomy segmentation from CT, MR, and DSA images + process automation
Collaborate closely with R&D, Materials Science, Product Development, and Testing teams to integrate computational modeling into product design decisions and development strategies.
Utilize computational modeling and simulation to develop new test methods, support material selection, characterize device performance, and reduce development risk.
Lead verification and validation activities for computational models, ensuring alignment with industry best practices and regulatory expectations.
Analyze simulation results, distill key technical insights, and translate findings into actionable engineering recommendations.
Prepare technical reports, presentations, and regulatory documentation to communicate modeling methodologies, assumptions, verification activities, and results.
Support regulatory submissions by generating computational modeling documentation compliant with applicable standards and guidance.
Provide technical leadership, mentorship, and subject matter expertise in computational mechanics and finite element modeling.
Contribute to innovation initiatives, invention disclosures, patents, and intellectual property development.