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Senior Quantum AI Researcher

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

Job Description

Join Nexus Quantum Labs at the forefront of 2026's technological revolution as a Senior Quantum AI Researcher. We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges. In this role, you'll architect next-gen quantum algorithms, lead cross-disciplinary teams, and publish groundbreaking research that will redefine computational boundaries. Our state-of-the-art facility in San Francisco offers unparalleled resources and a collaborative culture where your ideas will shape the future of technology.

Responsibilities

  • Design and implement advanced quantum machine learning algorithms for real-world applications
  • Lead R&D initiatives in quantum neural networks and hybrid quantum-classical systems
  • Collaborate with Nobel laureates and industry pioneers on quantum AI breakthroughs
  • Drive innovation in quantum error correction and fault-tolerant computing architectures
  • Mentor junior researchers and publish high-impact papers in top-tier journals
  • Secure $10M+ in research grants and strategic partnerships with global tech leaders

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science with 5+ years of research experience
  • Proven expertise in quantum algorithms, quantum machine learning, and tensor networks
  • Proficiency with quantum programming frameworks (Qiskit, Cirq, PennyLane) and AI/ML libraries
  • Published research in Nature/Science or equivalent peer-reviewed quantum AI journals
  • Experience leading quantum AI projects with measurable industrial or academic impact
  • Strong background in high-performance computing and distributed quantum systems
  • Exceptional problem-solving skills for NP-hard computational challenges

Required Skills

Quantum Computing Artificial Intelligence Machine Learning Quantum Algorithms Qiskit Cirq Tensor Networks High-Performance Computing Research Leadership

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