Senior / Principal Neuromorphic Systems Architect
Core
Designing next-generation neuromorphic hardware architectures that translate nonlinear neural dynamics and biological principles into electronic systems.
Role type
Senior/Principal Neuromorphic Systems Architect
Builds
Novel neuromorphic or neuro-inspired hardware systems (analog, mixed-signal, in-memory, or alternative substrates)
Domain
Hardware engineering, computational neuroscience, dynamical systems theory
Deliverable
production ML models
Required skills
Nonlinear dynamical systems, hardware architecture design (ASIC/FPGA/analog/mixed-signal), mathematical modeling (control theory/computational modeling), theory-to-implementation translation
Preferred skills
Neuromorphic computing, spiking neural network hardware, event-driven/asynchronous architectures, reservoir computing, early-stage R&D experience, patent/publication track record
Technologies
CMOS, RRAM, PCM, memristors, photonic substrates, analog/mixed-signal circuits
Responsibilities
Formalize brain-derived computation using dynamical systems theory, architect novel neuromorphic hardware systems, define system-level architecture (memory models, communication schemes), collaborate with neuroscience/ML teams, lead feasibility studies and prototyping, evaluate trade-offs across compute substrates, contribute to IP strategy
Seniority
Senior/Principal, hands-on IC with strategy & mentorship
