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Quantum AI Research Lead

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
16 Mei 2026
Deadline
16 Mei 2027

Job Description

Join the forefront of technological evolution at Nexus Quantum Labs, where we're pioneering the next generation of quantum-AI hybrid systems. As a Quantum AI Research Lead, you'll architect breakthrough solutions at the intersection of quantum computing and artificial intelligence, pushing the boundaries of what's computationally possible by 2026. We offer a collaborative environment with state-of-the-art facilities and the opportunity to shape emerging technologies that will redefine industries.

Our ideal candidate thrives at the convergence of theoretical physics and practical machine learning, with a passion for solving previously unsolvable problems. You'll collaborate with Nobel laureates, publish groundbreaking research, and translate theoretical models into real-world applications in cryptography, optimization, and materials science.

Responsibilities

  • Design and implement quantum-AI hybrid algorithms for enterprise-scale optimization challenges
  • Lead cross-functional teams of quantum physicists and ML engineers to prototype next-gen systems
  • Develop quantum-resistant encryption protocols for next-gen cybersecurity infrastructure
  • Publish peer-reviewed research in top-tier journals and present findings at global conferences
  • Translate theoretical quantum computing models into practical industry applications
  • Collaborate with government and private sector partners on quantum security initiatives
  • Mentor junior researchers and establish best practices in quantum-AI integration

Qualifications

  • PhD in Quantum Computing, Theoretical Physics, or Computer Science with 5+ years industry experience
  • Proven expertise in quantum algorithms (QAOA, VQE, Grover's) and quantum machine learning frameworks
  • Deep understanding of quantum error correction and fault-tolerant architectures
  • Strong programming skills in Python, Qiskit, and quantum simulators (Q#, Cirq)
  • Publication record in quantum computing or AI journals (arXiv, Nature Quantum)
  • Experience with high-performance computing clusters and distributed quantum systems
  • Knowledge of quantum hardware from major providers (IBM Quantum, Rigetti, IonQ)
  • Ability to secure government-level clearances for classified research projects

Required Skills

Quantum Computing Machine Learning Quantum Algorithms Python Qiskit Theoretical Physics Cryptography High-Performance Computing Quantum Hardware

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