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Quantum AI Research Scientist

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

Job Description

Join Nexus Quantum Labs at the forefront of 2026's technological revolution! We're pioneering quantum-AI convergence to solve humanity's greatest challenges. As a Quantum AI Research Scientist, you'll architect next-gen algorithms at the intersection of quantum computing and artificial intelligence, pushing the boundaries of computational possibility.

Our state-of-the-art facility in San Francisco offers an unparalleled environment for innovation. You'll collaborate with Nobel laureates and Turing Award winners in a culture that values intellectual curiosity and disruptive thinking. We provide competitive equity packages, unlimited learning stipends, and flexible work arrangements to empower your breakthrough research.

Responsibilities

  • Design and implement quantum machine learning algorithms for complex optimization problems
  • Lead cross-functional teams in prototyping quantum-AI hybrid systems
  • Develop error-correction frameworks for fault-tolerant quantum computing
  • Author high-impact research publications in top-tier journals and conferences
  • Secure federal and private research grants for emerging quantum applications
  • Mentor PhD candidates in quantum information science
  • Translate theoretical models into scalable quantum software solutions

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field
  • 3+ years experience with quantum programming (Q#, Qiskit, Cirq)
  • Publication record in quantum machine learning or quantum algorithms
  • Expertise in quantum error correction and fault tolerance
  • Strong background in deep learning frameworks (PyTorch, TensorFlow)
  • Experience with high-performance computing environments
  • Proven ability to secure research funding (NSF, DoE, DARPA)

Required Skills

Quantum Computing Machine Learning Python Qiskit TensorFlow Quantum Error Correction Research High-Performance Computing

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