Jobs / United States / Neuralink Corp
Materials Engineer
Neuralink Corp · 🇺🇸 Austin, Texas, United States; South San Francisco, California, United States
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 21 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 2 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Neuralink Corp paid sponsored hires in similar roles1 certified filing for “Process Engineer” (Materials Engineers) in CA: $95k–$95k, median $95k. Most were filed at wage level I (100%) — 1 lottery entry, ≈15% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Neuralink Corp
The US Department of Labor certified 21 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 2 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Neuralink Corp →
About the role
About Neuralink: We are creating devices that enable a bi-directional interface with the brain. These devices allow us to restore movement to the paralyzed, restore sight to the blind, and revolutionize how humans interact with their digital world. 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. Expected Compensati