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Quantum AI Research Scientist

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
12 Juli 2026
Deadline
12 Jul 2027

Job Description

Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're seeking a pioneering Quantum AI Research Scientist to architect the next generation of hybrid quantum-neural systems. In this role, you'll collaborate with Nobel laureates and AI visionaries to develop quantum-entangled machine learning models that solve previously unsolvable optimization problems. Our state-of-the-art San Francisco campus features 128-qubit processors and neuromorphic computing arrays, providing unparalleled resources for groundbreaking research.

We offer competitive equity packages, unlimited research budget, and flexible hybrid work arrangements. Our team has published 47 papers in Nature and Science journals over the past 18 months, with 3 breakthroughs already commercialized by our parent company. This is your opportunity to shape humanity's computational future while advancing your career in one of the world's most vibrant tech ecosystems.

Responsibilities

  • Design and implement quantum algorithms for AI acceleration and optimization
  • Lead cross-functional R&D teams in developing hybrid quantum-classical neural networks
  • Develop error-correction protocols for fault-tolerant quantum computing systems
  • Collaborate with hardware engineers on quantum processor architecture improvements
  • Publish peer-reviewed research in top-tier journals and present at international conferences
  • Secure federal grants and private funding for quantum AI initiatives
  • Mentor postdoctoral researchers and lead quantum computing workshops

Qualifications

  • Ph.D. in Quantum Computing, Theoretical Computer Science, or Physics with 3+ years post-doctoral experience
  • Proficiency in quantum programming languages (Qiskit, Cirq, Q#) and AI frameworks (TensorFlow Quantum, PennyLane)
  • Published research in quantum machine learning or quantum optimization
  • Expertise in quantum error correction and fault-tolerant architectures
  • Strong background in computational complexity theory and quantum information theory
  • Experience with quantum hardware platforms (IBM Quantum, Rigetti, IonQ)
  • Excellent communication skills for technical and non-technical audiences

Required Skills

Quantum Computing Artificial Intelligence Machine Learning Qiskit Cirq Q# Quantum Error Correction Theoretical Physics Computational Complexity Quantum Hardware

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