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Quantum AI Research Scientist

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

Job Description

Shape the future of technology as a Quantum AI Research Scientist at Nexus Quantum Labs. We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges. Join our elite team in San Francisco where you'll develop groundbreaking quantum algorithms, collaborate with Nobel laureates, and contribute to systems that will redefine industries by 2026.

At Nexus Quantum Labs, we offer an unparalleled environment for innovation with state-of-the-art quantum hardware, unlimited research budgets, and a culture that celebrates intellectual curiosity. Your work will directly impact the development of quantum neural networks, error-corrected quantum computers, and AI systems that learn exponentially faster than classical counterparts.

Responsibilities

  • Design and implement quantum machine learning algorithms for next-generation AI systems
  • Lead research projects in quantum neural networks and quantum-enhanced deep learning
  • Develop novel quantum error correction protocols for scalable quantum computing
  • Collaborate with hardware teams to optimize quantum-AI co-design architectures
  • Publish breakthrough research in top-tier journals and conferences
  • Mentor junior researchers and drive quantum-AI education initiatives
  • Secure federal and private funding for pioneering quantum-AI research

Qualifications

  • PhD in Quantum Computing, Machine Learning, or Physics (or equivalent research experience)
  • Expertise in quantum algorithms, quantum information theory, and quantum programming languages
  • Proven track record of publishing in Nature/Science or top-tier ML conferences
  • Mastery of Python, TensorFlow/PyTorch, and quantum frameworks (Qiskit, Cirq)
  • Experience with quantum hardware integration and quantum circuit optimization
  • Demonstrated ability to lead complex multi-disciplinary research projects
  • Strong background in high-performance computing and distributed systems

Required Skills

Quantum Computing Machine Learning Artificial Intelligence Python TensorFlow Qiskit Quantum Algorithms Research Physics Neural Networks

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