Integral is building technologies to treat neurological and psychiatric disorders.
Our first device is a miniaturized, implanted, deep-brain interface for severely affected patients. It will have unprecedented capabilities for recording and modulating neural activity and for monitoring patients’ symptoms.
This device will dramatically advance our ability to treat brain disorders and to understand their biological causes. We will use this unique discovery platform to develop an expanding range of more effective treatments that will ultimately be accessible to everyone.
Leadership:
Flip Sabes, CSO - Neuralink cofounder, UCSF Professor Emeritus, neuroscientist and neurotech innovator
Milan Cvitkovic, CEO - Neurotech venture builder; previously first-hire at Convergent Research, AI researcher, and software engineer
Stephen O'Driscoll, VP of Engineering - Verily cofounder and former Head of Electrical Engineering, former Director of Device Electronics at Science Corp
We prioritize ambitious engineering, speed, and patients' needs.
You’ll be a founding member of Integral's electrical engineering team, responsible for solving mission-critical EE challenges across our device engineering efforts, including extremely space-constrained board design, wireless power transfer and communications, and novel lead and electrode design.
We work full-time, in-person in South San Francisco.
You should have exceptional abilities in some of the following areas:
PCB-A development: architecture, component selection, schematic, layout, characterization
FPGA development (Verilog)
Firmware for bringup and prototyping, especially for microcontrollers
Power regulation for battery-powered devices: fuel gauges, PMICs, LDOs, Boost, Buck
Power-constrained embedded system design
Physical design for and modeling of board parasitics, transmission line effects, connector parasitics, noise and interference
Wireless communication from small, compact devices, esp. BLE
Wireless charging: power amplifiers, rectifiers, coil design, link modeling
Strong test and test-automation skills, including Python scripting for lab instruments and DFT experience
Lab debug skills, especially for low-power, compact devices, e.g. current profiling or wireless testing
Thermal-aware design
Productization, DFM, working with CMs, V&V
ASIC interfacing and integration, working with new silicon
You should also have:
Cross-disciplinary expertise, including basic understanding of ME, SWE, industrial design, and new product introduction
The desire to get your hands dirty: you can drive CAD, test equipment, soldering irons, etc.
Deep understanding of fundamental EE principles
A track record of swift execution
(Bonus) Experience with EE in heavily regulated industries (medical, automotive, aviation)
Neurotechnology experience is not necessary.
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