Team Description:
At Neuralink, we're engineering the future of automated surgeries, focusing on the safe and effective implantation of our groundbreaking Neuralink implant. Our team — a cross-functional mix of roboticists, engineers from various disciplines, and medical professionals — collaborates on developing a surgical flow from first principles. In this critical role, you'll straddle the cutting-edge worlds of robotics, software, and neuroscience.
Job Description and Responsibilities:
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. As a Firmware Engineer, your responsibilities will encompass:
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
Required Qualifications:
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
Preferred Qualifications:
Embedded Software Development:
2+ years of experience with embedded systems
Proficient with common communication protocols (SPI, UART, I2C, etc.)
Comfortable/working knowledge of more advanced protocols such as PCIe, MIPI CSI/DSI, USB, and 802.3
Proficient in at least one embedded language such as C, C++, or Rust
Proficient with embedded toolchains and workflow
Experience building and bringing-up MCUs or FPGAs
Experience with embedded stacks for ARM cores
Experience developing on embedded Linux platforms
Experience coding drivers for actuators and sensors
Electrical Engineering:
Foundational understanding of MCU architectures and peripheral integration
Solid knowledge in electrical engineering and DSP
Ability to interpret electrical schematics and datasheets, along with proficiency in using lab equipment
Systems Engineering:
Experience developing for safety-critical systems
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