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Salary: USD 151,000 - 281,000 / annual
Neuralink is building brain-computer interface devices that restore movement to the paralyzed, restore sight to the blind, and revolutionize human-digital interaction. The company is developing a next-generation surgical robot that will perform brain surgery at scale, installing hundreds of tiny threads into the brain to enable brain-computer communication.
In this role, you will own building out the robot test fleet. You'll break robots into testable components, build rigs that reproduce operating conditions, perform surgeries on brain proxies, and automate accelerated life testing (ALT). Your fleet will provide evidence to ship new capabilities regularly and safely. When the robot misbehaves, you'll be in the lab diagnosing and fixing it.
Key responsibilities include:
- Bring up, instrument, and run robots and component test rigs
- Hunt failures across mechanics, electronics, firmware, and software
- Automate routine robot verification & validation (V&V), test setup, execution, recovery, and results
- Design and build fixtures, sensing, and logging systems with safe operating procedures and fast turnaround
- Work with simulation and hardware-in-the-loop (HIL) engineers to align models and tests with reality
- Convert real failures into repeatable regression tests to avoid wasting hardware time on known bugs
You'll balance two types of work: chasing one-off failures and building systems that run consistently. The role requires someone who can do both and knows which approach each day calls for.
REQUIREMENTS:
- Hands-on robotics experience: you've made a robot work, broken it, and made it work again
- Python proficiency for test automation and results analysis; basic understanding of Rust
- Hands-on experience with motor drives, encoders, sensors, and hardware interfaces (Ethernet, SPI, I²C, UART, EtherCAT)
- Comfortable reading schematics, building instrumented fixtures, and using oscilloscopes, logic analyzers, and data acquisition systems to diagnose failures
- High agency on hardware; comfortable with noise, intermittent faults, and failures that resist reproduction
- Discipline about repeatability, traceability, and recording what actually happened
- Judgment to know when a robot is ready and the diligence to provide evidence to back it up
- Effective at using AI agents to build tooling, analyze data, and automate failure investigations
Note: The team is hiring engineers at all levels, both junior and senior. What matters most is evidence of exceptional abilities and a drive to succeed.
