NEURALINK
NEURALINK

60 Neuralink Neural Interface Engineer Jobs Hiring Near You

Team Description: The Materials Engineering Team at Neuralink develops and qualifies high ... computer interfaces. The team owns material characterization, hermetic packaging reliability ...

Software Engineer, ASIC

South San Francisco, CA ยท On-site

$123K - $216K/yr

About Neuralink: We are creating devices that enable a bi-directional interface with the brain ... stream neural recordings from implants. You will: * Build and maintain scalable EDA compute ...

Software Engineer, CI/CD

Austin, TX ยท On-site

$123K - $216K/yr

About Neuralink: We are creating devices that enable a bi-directional interface with the brain ... neural recordings from implants. You will: * Design and scale the CI/CD platform that enables ...

Mechanical Design Engineer, EPC

Austin, TX ยท On-site

$102K - $244K/yr

About Neuralink: We are creating devices that enable a bi-directional interface with the brain ... The EPC team is responsible for all aspects of engineering, procurement, and construction ranging ...

About Neuralink: We are creating devices that enable a bi-directional interface with the brain ... The Brain Interfaces Soc Department delivers chip architecture and silicon implementation of neural ...

Preclinical Study Coordinator

Austin, TX ยท On-site

$31 - $53/hr

About Neuralink: We are creating devices that enable a bi-directional interface with the brain ... engineering, animal science, or a related field. * Direct experience with neural device ...

IACUC Coordinator

Austin, TX ยท On-site

$26.92 - $44.71/hr

About Neuralink: We are creating devices that enable a bi-directional interface with the brain ... Background in neuroscience, neural device studies, or GLP-regulated preclinical research.

Design and develop signal processing algorithms for sensing neural activity in the cortex (e.g ... As such, in addition to base salary, Neuralink offers equity compensation (in the form of ...

Manufacturing Engineer

Austin, TX ยท On-site

$83K - $139K/yr

About Neuralink: We are creating devices that enable a bi-directional interface with the brain ... The Brain Interfaces Mechanical Engineering team is responsible for the mechanical and ...

Mechanical Design Engineer, EPC

Austin, TX

$75K - $102K/yr

... at Neuralink. We regularly interface with cross-functional teams to identify their short and long term needs and provide purpose-built spaces for the future growth of our research and engineering ...

Regulatory Engineer

Austin, TX ยท On-site

$71K - $119K/yr

About Neuralink: We are creating devices that enable a bi-directional interface with the brain ... As a Regulatory Engineer at Neuralink, you will be responsible for regulatory affairs activities ...

Showing results 41-60

Materials Engineer

Materials Engineer

Neuralink

South San Francisco, CA โ€ข On-site

Other

Posted 25 days ago


Job description

Team Description:

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.

Job Description and Responsibilities:

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.
  • Coordinate test projects (SHPB, DMA, abuse testing) and own data quality from external sources.
  • Extend validated impact models to adjacent reliability domains: burst/cyclic pressure testing, vibration fatigue, and seal interface simulation.
  • Support cross-functional reliability programs including thermal modeling, RH/leak modeling, and accelerated lifetime testing as needed

Required Qualifications:

  • MS or PhD in Mechanical Engineering, Materials Science, or related field.
  • 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.
  • Proficiency in mechanical design (SolidWorks or similar CAD software).
  • Familiarity with relevant test standards (ASTM, IEC).
  • Ability to work autonomously: define test plans, build fixtures, run tests, analyze data, and present conclusions

Preferred Qualifications:

  • Direct experience with high-strain-rate testing (SHPB, drop tower).
  • Experience with Digital Image Correlation (DIC) or full-field strain measurement.
  • Experience with constitutive model calibration and parameter optimization (fitting test data to LS-DYNA material cards such as MAT_SAMP-1, MAT_024, or cohesive zone models).
  • Medical device or aerospace reliability background (DV/V&V, FDA regulatory context).
  • Python for data processing and automation.
  • Experience correlating simulation to physical test data using quantitative metrics (CORA, force-displacement overlay, DIC contour comparison).
  • Experience calibrating and troubleshooting lab instrumentation.