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Information Technology 🏢 Full Time ⭐️ Verified

Lead Quantum AI Architect

Nexus Horizon Solutions
San Francisco
Estimated Salary
USD 250.000 – USD 350.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Are you ready to architect the future of intelligence? Nexus Horizon Solutions is seeking a visionary Lead Quantum AI Architect to spearhead our research and development division. As we approach the technological singularity of 2026, we are building the foundational infrastructure for the next era of computing. This is a rare opportunity to define the standard for quantum machine learning and hybrid cloud systems.


In this role, you will bridge the gap between theoretical quantum mechanics and practical, scalable AI applications. You will lead a team of elite engineers in developing algorithms that solve problems currently deemed impossible for classical computers.


Why Join Us?

  • Shape the Future: Directly impact the evolution of technology.
  • Elite Compensation: Competitive salary plus equity package.
  • Remote-First Culture: Work from anywhere in the US.

Join us in building the digital infrastructure of tomorrow, today.

Responsibilities

  • Design and implement scalable quantum algorithms for machine learning and optimization problems.
  • Lead a cross-functional team of quantum physicists, software engineers, and data scientists.
  • Integrate quantum computing modules into existing classical AI pipelines.
  • Conduct research into emerging quantum hardware architectures and error correction techniques.
  • Mentor junior staff and establish best practices for quantum software development.
  • Collaborate with stakeholders to translate complex technical concepts into business value.

Qualifications

  • Ph.D. in Computer Science, Physics, Mathematics, or a related field with a focus on Quantum Computing.
  • 10+ years of experience in software engineering, with at least 5 years specifically in AI/ML.
  • Deep expertise in quantum programming frameworks (e.g., Qiskit, Cirq, PyQuil, or PennyLane).
  • Proficiency in Python, C++, and classical machine learning libraries (TensorFlow, PyTorch).
  • Strong understanding of cloud infrastructure (AWS, Azure, or GCP) and containerization (Docker, Kubernetes).
  • Experience with hybrid quantum-classical architectures and cloud-based quantum simulators.

Required Skills

Quantum Computing Artificial Intelligence Machine Learning Python C++ Cloud Architecture Quantum Algorithms Qiskit PyTorch TensorFlow Docker Kubernetes

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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