Materials Engineer

2+ years of hands-on experience with explicit dynamics FEA (LS-DYNA, Abaqus/Explicit, or similar) - not static/modal only.

2+ years of hands-on experience with mechanical testing (tensile testers, DMA, servo-hydraulic frames, or similar equipment).

Experience with polymer or composite material characterization, including rate-dependent and temperature-dependent behavior.

Hands-on experience with mechanical assembly, fabrication, or building and calibrating test equipment.

Familiarity with relevant test standards (ASTM, IEC).

Ability to work autonomously: define test plans, build fixtures, run tests, analyze data, and present conclusions

We are looking for a Mechanical Engineer who owns the full simulation-to-test loop for implant mechanical reliability.

This person will build explicit dynamics FEA models, design and run physical tests, calibrate material models against experimental data, and validate predictions.

You will work closely with materials engineers, microfabrication, and cross-functional reliability teams to ensure the implant meets impact, fatigue, and seal integrity requirements.

Build, refine, and validate explicit dynamics Finite Element Analysis (FEA) models (LS-DYNA, Abaqus/Explicit) to predict mechanical response under high-strain-rate impact loading.

Own the in-house mechanical testing pipeline end-to-end: design fixtures, prepare specimens, run tests (servo-hydraulic, drop tower, DIC), and correlate results to simulation using quantitative metrics (CORA, force-displacement overlay, DIC contour comparison).

Translate physical test data into constitutive model inputs: calibrate material cards, optimize parameters, and deliver validated simulation files.

The Materials Engineering Team at Neuralink develops and qualifies high-performance, biocompatible materials for next-generation brain-computer interfaces. The team owns material characterization, hermetic packaging reliability, accelerated lifetime testing, and predictive simulation for implantable neural devices. We operate at the intersection of physical testing and computational modeling, closing the loop between experiment and simulation to drive design decisions.