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Quantum AI Research Lead

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
New
Live Update
6 Juni 2026
Deadline
6 Jun 2027

Job Description

Are you ready to define the technological landscape of 2026 and beyond? Nexus Future Systems is seeking a visionary **Quantum AI Research Lead** to spearhead our cutting-edge research division. In this pivotal role, you will bridge the gap between quantum mechanics and artificial intelligence, architecting systems that solve previously intractable problems.

Join a team of elite engineers and scientists dedicated to pushing the boundaries of what is computationally possible. We are not just building software; we are building the future of intelligence.

Responsibilities

  • Architect and design hybrid quantum-classical algorithms for high-impact machine learning models.
  • Lead the technical vision for our 2026 roadmap, ensuring scalability and robustness in quantum environments.
  • Collaborate with interdisciplinary teams of physicists, cryptographers, and data scientists.
  • Optimize quantum circuit layouts to maximize qubit coherence and minimize error rates.
  • Define best practices and standards for quantum software development within the organization.

Qualifications

  • PhD or Master’s degree in Computer Science, Physics, Mathematics, or a related quantitative field.
  • 3+ years of experience in quantum computing (Qiskit, Cirq, or PyQuil) and classical machine learning frameworks (TensorFlow, PyTorch).
  • Proven track record of leading technical teams or complex architectural projects.
  • Deep understanding of linear algebra, probability theory, and optimization algorithms.
  • Excellent communication skills, capable of translating complex concepts to diverse stakeholders.

Required Skills

Quantum Computing Machine Learning Python C++ Qiskit AI Architecture Algorithm Design

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