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Quantum AI Research Engineer

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

Shape the future at Nexus Labs as we pioneer the convergence of quantum computing and artificial intelligence. We're seeking a visionary Quantum AI Research Engineer to develop next-generation algorithms that will redefine computational boundaries. Join an elite team working on projects that will power breakthroughs in materials science, cryptography, and autonomous systems by 2026. Enjoy competitive compensation, unlimited learning opportunities, and a culture that celebrates disruptive innovation.

Responsibilities

  • Design and implement quantum machine learning algorithms for complex computational problems
  • Develop hybrid quantum-classical frameworks for real-world AI applications
  • Lead research in quantum neural networks and quantum-enhanced optimization
  • Collaborate with quantum hardware teams to validate algorithm performance
  • Publish breakthrough research in top-tier journals and conferences
  • Mentor junior researchers and contribute to open-source quantum AI projects

Qualifications

  • PhD in Quantum Computing, Computer Science, or related field
  • Expertise in quantum algorithms (QAOA, VQE, QML) and programming languages (Qiskit, Cirq)
  • Strong background in machine learning frameworks (PyTorch, TensorFlow)
  • Demonstrated research publication record in quantum/AI journals
  • Experience with quantum hardware interfaces and error correction
  • Proficiency in Python, C++, and high-performance computing
  • Passion for solving previously unsolvable problems

Required Skills

Quantum Computing Machine Learning Qiskit Cirq PyTorch Quantum Algorithms Research Python C++ High-Performance Computing

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