Neuralink
Materials Engineer
About this role
Neuralink is seeking a Mechanical Engineer to enhance the reliability of implantable brain-computer interfaces by managing the full simulation-to-test loop. This role focuses on the development of high-performance materials and involves extensive collaboration with cross-functional teams to ensure compliance with mechanical integrity standards.
What you'll do
- Build and validate explicit dynamics FEA models for mechanical response predictions
- Manage the end-to-end mechanical testing pipeline, including fixture design and results correlation
- Translate physical test data into material model inputs and optimize parameters
- Coordinate and oversee various test projects while ensuring data quality
- Extend validated impact models to cover other reliability domains
- Support cross-functional reliability programs as required
What they're looking for
- MS or PhD in Mechanical Engineering or related field
- Experience with explicit dynamics FEA (LS-DYNA, Abaqus)
- Hands-on mechanical testing experience
- Knowledge of polymer or composite material characterization
- Proficiency in CAD software (SolidWorks or similar)
- Familiarity with ASTM/IEC test standards
- Ability to work independently and define test plans
- Experience with high-strain-rate testing preferred
Benefits
- Equity compensation in the form of Restricted Stock Units (RSUs)
- Opportunity to work on innovative technology
- Collaboration with a talented team
- Potential for career growth and development
- Comprehensive benefits package
Opens the application — the Jobs AI extension fills it for you. Set up autofill
Opens the official application on the employer’s site. No login required.
Neuralink
Neuralink develops brain-computer interface technology and neurosurgical robots to enable direct interaction between the brain and computing systems. The company is hiring engineers across clinical implementation, user interface design, manufacturing, and software development to support its pioneering medical devices and surgical systems.
- Website
- neuralink.com
Likely interview questions
- Walk us through a project where you built an explicit dynamics FEA model (LS-DYNA or Abaqus/Explicit) and validated it against physical test data. What metrics did you use to quantify correlation?
- Describe your experience designing and running mechanical tests end-to-end. What testing equipment have you hands-on experience with, and how did you ensure data quality?