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Quantum Computing Researcher

Nexus Labs
San Francisco
Estimated Salary
USD 150.000 – USD 220.000
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

Join Nexus Labs at the forefront of technological innovation as we pioneer breakthroughs that will define 2026 and beyond. We seek a visionary Quantum Computing Researcher to develop next-generation quantum algorithms and applications. This role offers unparalleled resources to explore quantum supremacy, error correction, and real-world implementations. You'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art facility overlooking the Bay. If you're passionate about solving humanity's most complex problems through quantum mechanics, this is your chance to shape the future.

Responsibilities

  • Design and implement novel quantum algorithms for cryptography and optimization
  • Lead experimental validation of quantum supremacy claims using 100+ qubit systems
  • Develop error mitigation techniques for practical quantum applications
  • Collaborate with AI teams to integrate quantum machine learning models
  • Publish findings in top-tier journals and present at quantum computing conferences
  • Secure patents for proprietary quantum hardware innovations
  • Mentor junior researchers in quantum physics principles

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 3+ years hands-on experience with quantum programming languages (Qiskit, Cirq)
  • Publication record in Nature/Science journals or equivalent
  • Expertise in quantum error correction and fault-tolerant systems
  • Proficiency with superconducting qubit manipulation techniques
  • Strong background in linear algebra and quantum information theory
  • Experience with high-performance computing environments
  • Track record of translating theoretical concepts into practical solutions

Required Skills

Quantum Computing Qiskit Cirq Quantum Algorithms Quantum Error Correction Superconducting Qubits Quantum Cryptography Machine Learning High-Performance Computing

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