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Senior Quantum Neural Interface Engineer

Aeon Systems
San Francisco
Estimated Salary
USD 175.000 – USD 260.000
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

We are defining the cognitive landscape of 2026. At Aeon Systems, we are building the world's first commercially viable quantum neural interface. We are looking for a visionary Senior Quantum Neural Interface Engineer to bridge the gap between human cognition and quantum computing power.

In this role, you will architect the core algorithms that allow for high-bandwidth, low-latency communication between biological neurons and quantum processors. You will be working on the cutting edge of neurotechnology, directly contributing to the standard that will define human augmentation in the next decade.

Responsibilities

  • Design and implement quantum machine learning models tailored for Brain-Computer Interface (BCI) data processing.
  • Optimize neural pathway algorithms to ensure real-time latency is under 10 milliseconds for critical applications.
  • Collaborate with a multidisciplinary team of neuroscientists, quantum physicists, and UI/UX designers.
  • Lead the R&D initiative for our proprietary 2026 Horizon Chipset integration.
  • Establish security protocols to protect neural data privacy against quantum decryption threats.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Quantum Physics, or Computational Neuroscience.
  • 5+ years of experience in quantum computing frameworks (Qiskit, Cirq, or similar).
  • Deep expertise in deep learning, neural networks, and tensor calculus.
  • Proficiency in high-performance programming languages: Python, C++, and CUDA.
  • Experience with bio-signal processing and signal-to-noise ratio optimization.

Required Skills

Quantum Computing Neural Networks Python C++ Deep Learning BCI Qiskit Machine Learning CUDA

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