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Quantum AI Researcher 2026

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

Job Description

Join Nexus Labs at the frontier of technological evolution as we pioneer the convergence of quantum computing and artificial intelligence. We're seeking a visionary Quantum AI Researcher to architect breakthrough systems that will redefine computing paradigms by 2026. In this pivotal role, you'll collaborate with Nobel laureates and industry pioneers to develop quantum neural networks, optimize machine learning algorithms for quantum hardware, and solve previously intractable computational challenges. Your work will directly influence the next generation of autonomous systems, drug discovery platforms, and cryptographic protocols that will shape humanity's digital future.

Responsibilities

  • Design and implement quantum machine learning algorithms leveraging Q# and TensorFlow Quantum
  • Develop hybrid quantum-classical computing frameworks for real-world applications
  • Lead research initiatives in quantum neural network optimization and error mitigation
  • Collaborate with hardware teams to co-design quantum processors for AI acceleration
  • Publish breakthrough research in top-tier journals and present at global conferences
  • Secure $5M+ in government and industry research grants

Qualifications

  • PhD in Quantum Computing, AI, or Computational Physics with 5+ years industry experience
  • Expertise in quantum algorithms (Shor's, Grover's, VQE) and quantum circuit optimization
  • Proven track record of publishing in Nature/Science or equivalent tier journals
  • Mastery of quantum programming languages (Qiskit, Cirq, Q#) and classical ML frameworks
  • Experience with quantum hardware platforms (IBM Quantum, Rigetti, IonQ)
  • Demonstrated ability to lead cross-disciplinary research teams

Required Skills

Quantum Computing Artificial Intelligence Machine Learning Q# Programming Quantum Algorithms TensorFlow Quantum Research Leadership High-Performance Computing

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