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Senior Neural Architect & Quantum Interface Specialist

Nexus Horizon
Austin
Estimated Salary
USD 190.000 – USD 260.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Nexus Horizon is pioneering the interface between human cognition and machine processing. As a Senior Neural Architect & Quantum Interface Specialist, you will lead the charge in designing the next generation of cognitive computing systems. We are looking for a visionary engineer to bridge the gap between artificial intelligence and quantum mechanics, creating scalable solutions for a future where data processing meets biological efficiency.

Join a elite team of futurists and engineers dedicated to shaping the technological landscape of 2026 and beyond. You will have the autonomy to experiment with cutting-edge frameworks and the responsibility to deploy systems that redefine what is possible.

Responsibilities

  • Design & Architecture: Lead the architectural design of high-performance neural networks optimized for quantum processors.
  • System Integration: Develop seamless interfaces between legacy cloud infrastructure and next-gen quantum computing environments.
  • Optimization: Implement advanced algorithms to minimize quantum error correction overhead and maximize processing speed.
  • Team Leadership: Mentor a diverse team of data scientists and quantum engineers to foster a culture of innovation and technical excellence.
  • R&D: Explore emerging technologies such as neuromorphic computing and synthetic biology integration.
  • Prototyping: Rapidly prototype and test new architectural models in sandbox environments before full-scale deployment.

Qualifications

  • Education: Ph.D. or Master’s degree in Computer Science, Quantum Physics, or a related field.
  • Experience: Minimum 7 years of experience in AI/ML architecture, with at least 2 years in quantum computing.
  • Technical Skills: Proficiency in Python, C++, and TensorFlow; hands-on experience with quantum SDKs (e.g., Qiskit, Cirq).
  • Problem Solving: Demonstrated ability to solve complex, multi-variable engineering problems in high-stakes environments.
  • Innovation: Strong track record of patentable innovations or significant contributions to open-source AI projects.
  • Communication: Excellent verbal and written skills for presenting complex technical concepts to executive stakeholders.

Required Skills

Python TensorFlow Quantum Computing C++ Neural Networks Cloud Architecture Machine Learning System Design

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