Senior / Principal Neuromorphic Systems Architect

About the role

The Neuromorphic Systems Architect will contribute to the development of next-generation technologies that transform how intelligent systems are built. This role requires a deep understanding of nonlinear dynamical systems and their application to computation, along with experience in hardware architecture design.

Responsibilities

• Formalize brain-derived computation using dynamical systems theory and translate these insights into hardware-relevant abstractions.
• Architect novel neuromorphic or neuro-inspired hardware systems (analog, mixed-signal, in-memory, or alternative substrates).
• Define system-level architecture, including memory models, communication schemes, and energy-efficient compute primitives.
• Collaborate with neuroscience, signal processing, and machine learning teams to ensure tight coupling between biological insight and architectural design.
• Lead feasibility studies, simulations, and early-stage prototyping efforts.
• Evaluate trade-offs across CMOS, emerging devices, photonic, memristive, or other unconventional compute substrates.
• Contribute to IP strategy, including invention disclosures and patents.
• Help shape the long-term compute vision of the company.

Requirements

• PhD (or equivalent experience) in Electrical Engineering, Applied Physics, Computational Neuroscience, Computer Engineering, or a closely related field.
• Deep expertise in nonlinear dynamical systems and their application to computation.
• Experience designing hardware architectures (ASIC, FPGA, analog/mixed-signal, or emerging device technologies such as RRAM, PCM, memristors, etc.).
• Strong mathematical foundation in dynamical systems, control theory, or computational modeling.
• Demonstrated ability to move from theory to implementable system design.
• 5+ years of relevant research or industry experience (level dependent).

Preferred Experience

• Prior work in neuromorphic computing or spiking neural network hardware.
• Experience with event-driven or asynchronous architectures.
• Familiarity with reservoir computing, recurrent dynamical systems, or physical computing substrates.
• Experience working in early-stage, fast-paced R&D environments.
• Track record of patents or high-impact publications in neuromorphic systems or unconventional computing.

Benefits

• Healthcare coverage
• Annual incentive program
• Retail benefits

Schedule

Full-time

Pay

$150,000 - $250,000