Computational Structural Dynamicist

Cadence Design Systems•Irvine, CA

1d•$117,600 - $218,400•Remote

About The Position

We are seeking an expert Computational Structural Dynamicist to develop solver capabilities for the automotive and aerospace industries. You will design, implement, and enhance advanced structural dynamics algorithms in MSC Nastran, Cadence Design System’s flagship finite element program. A critical part of this role involves diving deep into our existing codebase to diagnose, isolate, and resolve complex numerical and algorithmic bugs.

Requirements

PhD in Aerospace Engineering, Mechanical Engineering, Applied Mechanics or Civil Engineering.
Proven experience implementing, enhancing, and debugging algorithms inside a commercial-grade parallel finite element code.
High proficiency in C++, FORTRAN and Python, with comfort navigating, refactoring, and fixing bugs in the codebase.
Mastery of advanced structural dynamics, including transient, modal, frequency-response, and non-linear dynamic analyses.
Strong expertise in applied linear algebra for engineering mechanics (e.g., sparse solvers, eigenvalue problems).
Strong background in debugging and optimizing parallel programming paradigms (e.g., MPI, OpenMP).

Nice To Haves

Knowledge of aeroelasticity (flutter, gust response) and rotor dynamics (jet engines, turbomachinery).
Knowledge of vibro-acoustics / NVH (Noise, Vibration, and Harshness) and powertrain.
Experience with modern software engineering practices, including regression testing, profiling tools, version control, and continuous integration.

Responsibilities

Implement and optimize advanced structural dynamics capabilities into commercial FEA software.
Work closely with Product Management to translate automotive and aerospace requirements into robust software designs.
Apply high-level linear algebra techniques to solve complex engineering mechanics problems.
Develop and optimize parallel code to ensure high-performance, bug-free execution on modern hardware.
Diagnose, debug, and resolve complex numerical and algorithmic issues within a large, production-grade legacy and modern Fortran codebase.