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Senior Quantum AI Architect

Nebula Horizon Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Are you ready to define the technological landscape of 2026 and beyond? Nebula Horizon Technologies is seeking a visionary Senior Quantum AI Architect to lead our groundbreaking research in hybrid quantum-classical machine learning systems. In this pivotal role, you will bridge the gap between theoretical quantum mechanics and practical AI applications, deploying scalable solutions that solve the world's most complex optimization problems.

As a key member of our elite R&D division, you will work with state-of-the-art quantum hardware and advanced neural networks. We are not just building software; we are architecting the future of intelligence.

Why Join Us?

  • Work on the cutting edge of technology that will define the next decade.
  • Competitive compensation package and equity opportunities.
  • Flexible remote-first culture with premium office amenities in the heart of SF.

Responsibilities

  • Architect and design high-performance hybrid quantum-classical algorithms tailored for large-scale AI inference.
  • Lead the research and implementation of error mitigation and fault-tolerant quantum computing strategies.
  • Collaborate with cross-functional teams of physicists, data scientists, and software engineers to integrate quantum modules into existing AI pipelines.
  • Optimize quantum circuit depth and coherence times to maximize computational efficiency.
  • Publish research findings in top-tier scientific journals and present at global technology conferences.
  • Define technical roadmaps for next-generation quantum software development kits (SDKs).

Qualifications

  • Ph.D. in Computer Science, Physics, Mathematics, or a related quantitative field.
  • Minimum of 5+ years of experience in quantum computing, machine learning, or high-performance computing.
  • Deep proficiency in Python, C++, and quantum programming frameworks (Qiskit, Cirq, or Forest).
  • Proven track record of implementing quantum algorithms (e.g., VQE, QAOA) for real-world optimization tasks.
  • Strong understanding of tensor networks, linear algebra, and stochastic processes.
  • Excellent communication skills with the ability to explain complex technical concepts to diverse stakeholders.

Required Skills

Quantum Computing Machine Learning Python C++ Quantum Algorithms Neural Networks Distributed Systems Research

Ready to Take This Challenge?

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