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Quantum AI Research Scientist

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
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 seeking a visionary Quantum AI Research Scientist to pioneer breakthroughs in computational physics and artificial intelligence. In this pivotal role, you'll design quantum algorithms that solve previously unsolvable problems and shape the future of machine learning. Our state-of-the-art facility in San Francisco offers unparalleled resources to accelerate your research, including access to quantum annealing hardware and petabyte-scale datasets.

We offer competitive equity packages, flexible work arrangements, and a culture that celebrates intellectual curiosity. If you're passionate about pushing the boundaries of what's possible in quantum computing and AI, this is your opportunity to define the next decade of technological innovation.

Responsibilities

  • Design and implement novel quantum algorithms for AI applications
  • Lead cross-functional R&D projects combining quantum computing with machine learning
  • Develop predictive models for quantum system optimization
  • Collaborate with hardware engineers to prototype quantum-AI hybrid systems
  • Publish breakthrough research in leading scientific journals and conferences
  • Secure patents for proprietary quantum AI methodologies
  • Mentor junior researchers in quantum computational theory

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field
  • 3+ years of experience in quantum algorithm development
  • Proficiency with quantum programming frameworks (Qiskit, Cirq, or similar)
  • Published research in quantum machine learning or quantum information theory
  • Expertise in Python, TensorFlow/PyTorch, and high-performance computing
  • Deep understanding of quantum error correction and fault tolerance
  • Strong track record of translating theoretical concepts into practical implementations

Required Skills

Quantum Computing Artificial Intelligence Machine Learning Algorithm Design High-Performance Computing Python TensorFlow Quantum Error Correction

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