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Quantum AI Research Scientist

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Join Nexus Quantum Labs at the forefront of technological revolution in 2026. We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges. As a Quantum AI Research Scientist, you'll work in our state-of-the-art facility in San Francisco, collaborating with Nobel laureates and industry disruptors to develop next-generation algorithms that will redefine computing paradigms. This role offers unparalleled opportunities to publish groundbreaking research, patent revolutionary technologies, and shape the future of human-machine collaboration.

We offer competitive compensation, flexible work arrangements, and comprehensive benefits including equity in our unicorn-valued startup. Our culture celebrates intellectual curiosity, rapid experimentation, and boundary-pushing innovation. If you're ready to transform theoretical possibilities into tangible breakthroughs, apply now to join our elite research team.

Responsibilities

  • Design and implement quantum machine learning algorithms for optimization problems
  • Lead cross-functional teams to develop hybrid quantum-classical computing architectures
  • Conduct cutting-edge research in quantum neural networks and quantum-inspired AI
  • Translate theoretical quantum models into scalable hardware implementations
  • Collaborate with hardware engineers to mitigate quantum decoherence challenges
  • Publish peer-reviewed papers and present findings at top-tier conferences
  • Secure research grants and patents for novel quantum AI methodologies
  • Mentor junior researchers and foster a culture of scientific excellence

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field (2020-2026 graduates encouraged)
  • Proficiency in quantum programming languages (Qiskit, Cirq, Q#) and quantum circuit design
  • Deep understanding of quantum algorithms, error correction, and fault tolerance
  • Strong background in machine learning frameworks (TensorFlow, PyTorch) and classical AI
  • Experience with high-performance computing and distributed systems
  • Published research in quantum computing or quantum machine learning
  • Demonstrated ability to work in interdisciplinary research environments
  • Strong analytical skills and passion for solving complex theoretical problems

Required Skills

Quantum Computing Machine Learning Python C++ TensorFlow Qiskit Quantum Algorithms Research Physics

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