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Artificial Intelligence 🏒 Full Time ⭐️ Verified

Senior AI & Quantum Architect

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

We are pioneering the next generation of intelligent systems for the 2026 era. Nexus Horizon Labs is seeking a visionary Senior AI & Quantum Architect to lead the integration of classical machine learning with emerging quantum computing paradigms. In this role, you will define the architectural blueprint for systems that will define the technological landscape of the next decade.

If you are passionate about pushing the boundaries of what is possible and thrive in a fast-paced, high-impact environment, we want to meet you.

Responsibilities

  • Design and architect scalable quantum-classical hybrid systems capable of solving complex, high-dimensional problems.
  • Lead the research and implementation of novel algorithms optimized for Near-Term Quantum (NISQ) devices and future fault-tolerant hardware.
  • Collaborate with cross-functional teams of physicists, data scientists, and software engineers to translate theoretical research into production-ready code.
  • Establish best practices for quantum data encoding, error mitigation, and circuit optimization.
  • Mentor junior engineers and architects, fostering a culture of innovation and technical excellence.
  • Stay at the forefront of global industry trends in quantum supremacy, neuromorphic computing, and advanced AI.

Qualifications

  • PhD or Master’s degree in Computer Science, Physics, Mathematics, or a related field with a focus on Quantum Computing or Artificial Intelligence.
  • Minimum of 5 years of professional experience in software architecture, with a strong portfolio demonstrating expertise in AI/ML systems.
  • Hands-on experience with quantum computing frameworks (e.g., Qiskit, Cirq, Pennylane) and quantum simulators.
  • Deep proficiency in Python, C++, and distributed systems design.
  • Strong understanding of linear algebra, probability theory, and neural network architectures.
  • Proven track record of leading technical projects from conception to deployment in a cloud-native environment.

Required Skills

Quantum Computing Machine Learning Python C++ Distributed Systems Neural Networks Cloud Architecture Algorithm Design

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