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Quantum AI Research Scientist

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges. As a Quantum AI Research Scientist, you'll architect next-generation algorithms that redefine computational boundaries in cryptography, materials science, and climate modeling. Our state-of-the-art facility in San Francisco offers unparalleled resources for breakthrough research, including access to 1000+ qubit processors and a multidisciplinary team of Nobel laureates and Turing Award recipients.

We believe 2026 will mark the inflection point where quantum-AI symbiosis transforms industries. You'll lead projects with direct impact on Fortune 500 partners while contributing to open-source frameworks that democratize quantum innovation. If you're driven to solve problems deemed impossible by classical systems, this is your moment to shape the future.

Responsibilities

  • Design and implement quantum neural networks for unsolvable optimization problems
  • Develop hybrid quantum-classical ML pipelines for real-world industrial applications
  • Lead breakthrough research in quantum error correction and fault-tolerant architectures
  • Collaborate with hardware teams to co-design quantum-AI accelerator chips
  • Author peer-reviewed publications and open-source libraries in quantum machine learning
  • Mentor cross-functional teams in quantum algorithm implementation
  • Secure $5M+ in research grants for frontier quantum-AI projects

Qualifications

  • PhD in Quantum Computing, AI, Theoretical Physics, or Computational Mathematics
  • 5+ years of experience in quantum algorithm development or quantum machine learning
  • Expertise in quantum programming languages (Qiskit, Cirq, PennyLane) and frameworks
  • Published research in Nature/Science journals or top-tier quantum/AI conferences
  • Proficiency in Python, TensorFlow/PyTorch, and high-performance computing
  • Deep understanding of quantum entanglement, superposition, and decoherence
  • Experience with cloud quantum platforms (IBM Quantum, AWS Braket, Azure Quantum)

Required Skills

Quantum Computing Machine Learning Quantum Algorithms AI Research Theoretical Physics Python Qiskit Cirq TensorFlow High-Performance Computing

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