Senior Digital Design Engineer (FPGA/ASIC)
Paradromics
This listing was originally posted on Paradromics's careers page. Formulate is an equal opportunity job aggregator and is not involved in the hiring process. Where salary information is estimated, it is derived from BLS industry benchmarks and may differ from actual compensation.
About Paradromics
Brain-related illness is one of the last great frontiers in medicine, not because the brain is unknowable, but because it has been inaccessible. Paradromics is building a brain-computer interface (BCI) platform that records brain activity at the highest possible resolution: the individual neuron. AI algorithms then decode this massive amount of brain-data, enabling the seamless translation of thought into treatments.
Our first clinical application, the Connexus® BCI, will help people who are unable to speak, due to ALS, spinal cord injuries and stroke, to communicate independently through digital devices. However, the capabilities of our BCI platform go far beyond our first application. With the brain in direct communication with digital devices, we can leverage technology to transform how we treat conditions ranging from sensory and motor deficits to untreatable mental illness.
The Role
As a Senior Digital Design Engineer, you will translate algorithms and system requirements into clear digital microarchitectures and high-quality, synthesizable RTL that forms the foundation of our silicon. You will own digital blocks from microarchitecture through RTL implementation and work closely with physical design across the RTL-to-GDS flow to deliver robust, production-quality designs, using implementation feedback to drive architecture and algorithm tradeoffs for best PPA.
Rapid FPGA prototyping is a core part of this role: you will bring designs up early on FPGA to de-risk architectures, validate interfaces, and enable system-level integration and lab testing. You will own FPGA implementation end-to-end (synthesis, constraints, implementation, and timing closure), iterating quickly while keeping a clear eye on how designs will translate cleanly from FPGA to ASIC.
Master’s or Ph.D. in Electrical Engineering, Computer Engineering, or equivalent experience.
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BIOTECHNOLOGY
Brain Computer Interfaces
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