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Quantum AI Architect - 2026 Vision

Nexus Horizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
12 Juli 2026
Deadline
12 Jul 2027

Job Description

Are you ready to define the technological landscape of 2026 and beyond? Nexus Horizon Systems is seeking a visionary Quantum AI Architect to bridge the gap between classical machine learning and quantum supremacy. In this role, you will spearhead the development of algorithms that leverage quantum mechanics to solve complex computational problems, positioning our company at the forefront of the next industrial revolution.

We are looking for a thought leader who not only understands the theory but can also implement scalable solutions for real-world applications. Join us in shaping the future of AI infrastructure.

Responsibilities

  • Architect Scalable Solutions: Design and implement quantum algorithms tailored for AI processing and optimization tasks.
  • Integration Leadership: Bridge the gap between classical neural networks and quantum computing hardware (QPU).
  • R&D Leadership: Conduct cutting-edge research to advance the state-of-the-art in quantum error correction and machine learning models.
  • Performance Tuning: Optimize quantum circuit efficiency and reduce noise impact in complex computing environments.
  • Strategic Planning: Define the technical roadmap for the 2026 product release cycle and mentor junior engineers.
  • Collaboration: Partner with data scientists and hardware engineers to deploy hybrid quantum-classical models.

Qualifications

  • Education: PhD or Master’s degree in Computer Science, Physics, Mathematics, or a related field with a focus on Quantum Mechanics or Artificial Intelligence.
  • Experience: 3+ years of experience in quantum computing frameworks (e.g., Qiskit, Cirq, PennyLane, or Amazon Braket).
  • Technical Skills: Deep understanding of linear algebra, probability theory, and tensor calculus; proficiency in Python and classical machine learning libraries (PyTorch, TensorFlow).
  • Soft Skills: Excellent verbal and written communication skills; ability to explain complex technical concepts to non-technical stakeholders.
  • Leadership: Proven track record of leading technical teams and driving projects from concept to deployment.

Required Skills

Quantum Computing Machine Learning AI Python Qiskit Cirq Neural Networks Data Science Software Engineering

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