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Flagship Labs 119 Inc. (FL119) is an early-stage technology company pioneering a new frontier at the intersection of neuroscience and computation. We are developing next-generation technologies to transform how intelligent systems are built. We believe that the future of artificial intelligence demands a fundamental rethinking of today’s paradigms. Our mission is bold and urgent: to build a future where naturalistic, robust intelligence can emerge and operate sustainably at scale.

FL119 is seeking a creative and deeply technical Neuromorphic Systems Architect to join our team. Leveling is flexible based on experience.

This role will focus on translating nonlinear neural dynamics into next-generation computational architectures. You will work at the interface of neuroscience, dynamical systems theory, and hardware engineering to design and prototype electronic architectures that embody biologically derived principles of computation.

This is not a conventional AI accelerator role. We are seeking someone who can rethink compute from first principles, designing architectures that leverage recurrence, nonlinearity, sparsity, event‑driven signaling, and adaptive dynamics as foundational primitives rather than constraints.

• 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.

• 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)

• 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.

We are an equal opportunity employer. All qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.

The salary range for this role is $150,000 - $250,000. Compensation for the role will depend on a number of factors, including a candidate’s qualifications, skills, competencies, and experience. FL119 currently offers healthcare coverage, annual incentive program, retirement benefits and a broad range of other benefits. Compensation and benefits information is based on FL119’s good faith estimate as of the date of publication and may be modified in the future.

We recognize that great candidates often bring unique strengths without fulfilling every qualification. If you have some of the experience listed above but not all, please apply anyway. We are dedicated to building diverse and inclusive teams and look forward to learning more about your background and interest in Flagship.