Firmware Engineer Internship; Robotics and Surgery Engineering
Listed on 2026-09-04
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Software Development
Embedded Software Engineer, Robotics, Embedded Systems/ Firmware/ IoT, C++ Developer
- 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
- This is a new 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
Proficient with common communication protocols (SPI, UART, I2C, etc.)2+ years of experience with embedded systems
Proficient in at least one embedded language such as C, C++, or Rust Comfortable/working knowledge of more advanced protocols such as PCIe, MIPI CSI/DSI, USB, and 802.3
Proficient with embedded tool chains and workflow
Experience with embedded stacks for ARM cores
Experience developing on embedded Linux platforms
Experience with kernel driver development
Experience with embedded Linux kernel configuration and device tree setup
Experience coding drivers for actuators and sensors
Experience with ARM bootloaders
Experience with high-speed data acquisition and processing
Foundational understanding of MCU architectures and peripheral integration
Ability to interpret electrical schematics and datasheets, along with proficiency in using lab equipment
Solid knowledge in electrical engineering and DSP
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