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Quantum Computing Research Scientist

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Join Nexus Quantum Labs at the forefront of computational revolution. We're seeking visionary Quantum Computing Research Scientists to develop next-generation algorithms that will redefine technological paradigms by 2026. Collaborate with Nobel laureates in our state-of-the-art facility to solve humanity's most complex challenges in cryptography, materials science, and artificial intelligence.

Our cross-disciplinary teams operate at the intersection of quantum physics, machine learning, and cybersecurity. You'll lead breakthrough projects with access to industry-leading quantum processors and a $50M annual research budget. This role offers unparalleled opportunity to shape the technological landscape of the coming decade.

Responsibilities

  • Design and implement quantum algorithms for optimization and simulation problems
  • Lead research initiatives in quantum error correction and fault-tolerant systems
  • Collaborate with hardware teams to develop quantum-classical hybrid workflows
  • Publish groundbreaking research in top-tier journals and conferences
  • Mentor junior researchers and drive quantum computing education initiatives
  • Secure government and industry partnerships for applied quantum research

Qualifications

  • PhD in Physics, Computer Science, or related field with 3+ years quantum research experience
  • Proficiency in quantum programming languages (Qiskit, Cirq, or Q#)
  • Published work in quantum information science or quantum machine learning
  • Deep understanding of quantum decoherence and mitigation strategies
  • Experience with high-performance computing and parallel processing
  • Strong background in linear algebra and probability theory
  • Track record of securing research grants or industry partnerships

Required Skills

Quantum Computing Algorithm Design Quantum Programming Fault-Tolerant Systems Research Leadership Machine Learning Cryptography

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