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Quantum Computing Researcher

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

Job Description

Join Nexus Labs at the forefront of technological innovation as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Quantum Computing Researcher to develop next-gen algorithms and hardware prototypes that will redefine computational paradigms. This role offers unparalleled access to our state-of-the-art quantum lab and collaboration with Nobel Prize-winning physicists. Work on projects spanning quantum cryptography, machine learning acceleration, and climate modeling simulations that will shape the next decade of scientific progress.

Responsibilities

  • Design and implement quantum algorithms for practical applications in cryptography and optimization
  • Collaborate on quantum hardware prototyping with superconducting qubit systems
  • Lead research initiatives in quantum error correction and fault-tolerant computing
  • Develop quantum machine learning frameworks for industrial applications
  • Publish high-impact research in peer-reviewed journals and present at international conferences
  • Secure patents for novel quantum computing methodologies
  • Mentor junior researchers and drive cross-functional innovation workshops

Qualifications

  • PhD in Physics, Computer Science, or related field with quantum computing specialization
  • 3+ years of hands-on experience with quantum programming languages (Qiskit, Cirq)
  • Proven track record of published research in quantum algorithms or hardware
  • Expertise in quantum error correction and fault-tolerant architectures
  • Strong mathematical background in linear algebra, probability, and information theory
  • Experience with superconducting qubit systems or trapped-ion technologies
  • Ability to translate complex quantum concepts into commercial applications

Required Skills

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

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