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 Robot Reliability and Test Team is directly responsible for ensuring the surgical robot and its subassemblies are rigorously tested during both the design and production cycles. The team designs testing infrastructure, writes and provides guidance on test descriptions and outputs, and ensures the surgical robot is reliable and ready for use in human surgeries. Providing safe, effective, and smooth surgical procedures allows Neuralink to move at a rapid pace and reach more individuals who need this life-changing technology.
Job Description and Responsibilities:
As a Test Engineer, you’ll be responsible for transforming our surgical robot from an experimental medical device to a robust system capable of doing tens of thousands of surgeries. We’re looking for engineers with experience designing complex hardware systems, developing tests and fixtures to validate hardware, or debugging complex systems (or all three!). You will identify and resolve key reliability issues while designing and implementing test infrastructure to enhance the robot's engineering development and validation as well as the reliability of both the robot and its associated surgical tools. Furthermore, you will be expected to:
- Drive resolution and preventative actions for non-conforming robots
- Provide guidance on design controls and transfer processes
- Analyze data trends and debug hardware & software failures
- Define maintenance and calibration schedules
If you’re excited about solving new problems every day, or if you are passionate about test and fixture design, we would love to hear from you!
Required Qualifications:
- Bachelor’s Degree in mechanical/electrical engineering, or equivalent in experience and ability
- 1+ years of engineering experience in testing and making systems reliable (whether that's in school clubs or industry)
- Strong understanding of engineering first principles
Preferred Qualifications:
- Experience designing hardware in the loop test systems
- Proficiency interfacing with sensors, motors, etc.
- Coding experience in Python
Expected Compensation:
The anticipated base salary for this position is expected to be within the following range. Your actual base pay will be determined by your job-related skills, experience, and relevant education or training. We also believe in aligning our employees’ success with the company's long-term growth. As such, in addition to base salary, Neuralink offers equity compensation (in the form of Restricted Stock Units (RSU)) for all full-time employees.
What We Offer:
Full-time employees are eligible for the following benefits listed below.
- An opportunity to change the world and work with some of the smartest and most talented experts from different fields
- Growth potential; we rapidly advance team members who have an outsized impact
- Excellent medical, dental, and vision insurance through a PPO plan
- Paid holidays
- Commuter benefits
- Meals provided
- Equity (RSUs) *Temporary Employees & Interns excluded
- 401(k) plan *Interns initially excluded until they work 1,000 hours
- Parental leave *Temporary Employees & Interns excluded
- Flexible time off *Temporary Employees & Interns excluded
Similar Jobs
What you need to know about the Austin Tech Scene
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
