Neuralink
Firmware Engineer (Robotics and Surgery Engineering)
Skills
2 months ago
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Important information
Contract type:
Permanent
Salary:
$138,000 – $300,000 / year
Location:
Austin, TX, USA
Work mode:
Onsite
Published on:
21 October 2026
What they need
This is a new and foundational role for our team that will allow you to create new embedded systems from scratch while challenging and refining the old
Developing and optimizing embedded software for robotic surgery applications
Streamlining our codebase by refining and, when necessary, retiring legacy embedded software
Rigorous testing and validation of software systems to meet the highest safety and reliability standards
Participating in peer code reviews
Writing drivers and applications to extend the functionality of our robotics
Specifying hardware and software choices as we develop future hardware platforms
Sharing your findings and progress with the team in a collaborative environment
Demonstrated track record of success in a science or engineering field, evidenced by outstanding projects, innovations, or advanced problem-solving
Proven experience in software development, preferably with exposure to embedded systems
2+ years of experience with embedded systems
Comfortable/working knowledge of more advanced protocols such as PCIe, MIPI CSI/DSI, USB, and 802.3
Foundational understanding of MCU architectures and peripheral integration
Solid knowledge in electrical engineering and DSP
Experience with embedded Linux kernel configuration and device tree setup
Proficient with embedded toolchains and workflow
Proficient with common communication protocols (SPI, UART, I2C, etc.)
Ability to interpret electrical schematics and datasheets, along with proficiency in using lab equipment
Experience coding drivers for actuators and sensors
Proficient in at least one embedded language such as C, C++, or Rust
Experience with embedded stacks for ARM cores
Experience developing on embedded Linux platforms
Experience with kernel driver development
Experience with ARM bootloaders
Experience building and bringing-up MCUs or FPGAs
Experience with high speed data acquisition and processing
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