Neuralink, a pioneering company in brain-computer interface technology, is seeking an Electrical Engineer Intern to join their Brain Interfaces Embedded Systems Team. This role offers a unique opportunity to work on groundbreaking technology that aims to restore movement to the paralyzed and revolutionize human interaction with digital systems.
The position is based in Fremont, California, and offers an hourly rate of $35/hour. As an intern, you'll be working alongside accomplished mentors in a fast-paced, innovative environment, contributing to real-world projects that have the potential to transform lives. The role combines hands-on electrical engineering work with embedded systems development, requiring both hardware and software expertise.
Your responsibilities will span across various aspects of board design, from initial system definition to final verification. You'll be working with cutting-edge technology, designing PCBs for low power and size-constrained applications, and collaborating with chip designers, firmware engineers, and mechanical engineers. This position offers invaluable experience in working with advanced lab equipment and implementing various communication protocols.
The ideal candidate should have strong electrical engineering fundamentals and experience with PCB design tools. Knowledge of programming in C and Python is required, and familiarity with embedded systems development is a plus. This internship provides an exceptional opportunity to work on revolutionary medical technology while developing professional skills in a collaborative environment.
Benefits include comprehensive medical, dental, and vision insurance, commuter benefits, provided meals, and more. While some benefits like equity, 401(k), and parental leave are excluded for interns, the position offers invaluable experience working with some of the brightest minds in the field. This role is perfect for someone passionate about combining electrical engineering with healthcare innovation and eager to contribute to technology that could change the future of human-computer interaction.