Robotics Test Engineer – Brain-Computer Interface Rigs

Neuralink; San Francisco (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Neuralink is developing a next-generation surgical robot to perform brain surgery at scale, installing hundreds of tiny threads for brain-computer communication. You will own the robot test fleet, break robots into testable components, and automate accelerated life testing to ship capabilities safely and repeatedly.

You will bring up, instrument, and run robots and fixtures, hunt failures across mechanics, electronics, firmware, and software, and design fast, repeatable tests with strong

Qualifications

• Hands-on robotics experience and troubleshooting across hardware and software.
• Proven ability to instrument and test robotic systems with repeatable results.
• Strong comfort with reading schematics and diagnosing failures across domains.

Responsibilities

• Own building the robot test fleet and breaking robots into testable components.
• Automate routine robot V&V, test setup, execution, recovery, and results.
• Turn real failures into repeatable regression tests to reduce hardware time.
• Work with Sim and HIL engineers to align models with reality.
• Document failures with traceability and clear evidence.

Skills

Hands-on robotics experience

Robot troubleshooting & debugging

Python scripting for test automation

AI-assisted tooling & data analysis

High ownership & initiative

Education

Bachelor’s degree in a technical field

Equivalent practical experience

Tools

Oscilloscopes

Logic analyzers

Data acquisition systems

Schematic reading

Ethernet, SPI, I2C, UART, EtherCAT interfaces

Job description

Neuralink is developing a next-generation surgical robot to perform brain surgery at scale, installing hundreds of tiny threads for brain-computer communication. You will own the robot test fleet, break robots into testable components, and automate accelerated life testing to ship capabilities safely and repeatedly.

You will bring up, instrument, and run robots and fixtures, hunt failures across mechanics, electronics, firmware, and software, and design fast, repeatable tests with strong