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Quantum AI Research Engineer

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 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 Engineer, you'll architect next-generation algorithms that transcend classical computing limitations. Our state-of-the-art facility in San Francisco offers unparalleled resources for breakthrough research, including access to 1000-qubit quantum processors and collaborative AI labs.

We value bold innovators who thrive at the intersection of physics, computer science, and machine learning. If you're passionate about reshaping the future of computation and contributing to breakthroughs in materials science, cryptography, or climate modeling, this is your opportunity to make history.

Responsibilities

  • Design and implement quantum machine learning algorithms for real-world applications
  • Develop hybrid quantum-classical computing frameworks for enterprise-scale problems
  • Collaborate with cross-functional teams to translate theoretical models into deployable solutions
  • Lead research initiatives in quantum neural networks and optimization techniques
  • Contribute to open-source quantum AI libraries and publish high-impact research papers
  • Advise product teams on quantum-computing feasibility and implementation strategies
  • Mentor junior researchers in quantum algorithm development and error mitigation

Qualifications

  • PhD in Quantum Computing, Computer Science, or Physics (MS with exceptional experience considered)
  • 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq, or Q#)
  • Expertise in machine learning frameworks (PyTorch/TensorFlow) and algorithm optimization
  • Strong mathematical background in linear algebra, probability, and quantum mechanics
  • Published research in quantum computing or AI at top-tier conferences/journals
  • Proficiency with high-performance computing environments and parallel programming
  • Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)
  • Demonstrated ability to translate complex quantum concepts into practical applications

Required Skills

Quantum Computing Machine Learning Python Qiskit PyTorch Quantum Algorithms High-Performance Computing AI Research

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