Firmware Engineer Intern
Precision Neuroscience
Manhattan, NY1+ yrs1h agovia LinkedIn
This job at a glance
- Who can apply
- 1 year+ of experience
- Must know
- PythonC++CUnit testing
- Nice to have
- Embedded systemsMachine learning
- Work
- On-site in Manhattan · internship
- Pay
- Not stated by the employer.
- Skill demand
- Python33%C++25%C18%Unit testing1%of 99 similar entry-level jobs posted in the US this week
- Listed
- Oct 30, 2026 · still open
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About the Role
Precision Neuroscience is seeking a Firmware Engineering Intern to help develop the embedded software for their next-generation brain-computer interface (BCI) technology. This role involves building and testing cutting-edge medical devices and contributing to production software within a close-knit firmware team, collaborating with experts from various disciplines. The intern will solve complex problems and work on systems designed to tangibly improve people's lives. This position is based in the New York office.
Key Responsibilities
- Contribute to the development and testing of embedded software for brain-computer interfaces.
- Collaborate effectively with others and present progress and findings to both technical and non-technical collaborators.
- Actively contribute to the suite of tests, demonstrating a strong intuition and affinity for testing.
Requirements & Tech Stack
- 1+ years of experience with embedded systems (coursework, projects, internships).
- Proficient in C/C++ and Python.
- Experienced working with microcontrollers (e.g., Nordic, NXP, STM).
- Familiar with communication protocols (e.g., SPI, I2C, UART, USB, BLE, Wi-Fi).
- Skilled at writing unit tests and clear software documentation.
- Familiar with debugging tools such as GNU Debugger and serial printing.
- Comfortable using lab equipment for hardware and firmware debugging (e.g., signal generators, logic analyzers, oscilloscopes, DMMs).
Bonus Qualifications
- Experience with safety-critical systems (medical devices, automotive, aerospace).
- Working knowledge of Machine Learning and Artificial Intelligence, particularly in embedded systems contexts.