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Quantum Computing Research Scientist

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing breakthroughs that will redefine 2026 and beyond. We seek visionary Quantum Computing Research Scientists to develop next-gen algorithms and architectures that will solve previously impossible computational challenges. Our state-of-the-art facilities in San Francisco offer unparalleled resources for exploration, collaboration with Nobel laureates, and direct impact on industries from pharmaceuticals to climate modeling. This role offers competitive compensation, flexible hybrid work, and dedicated R&D budget for your experiments.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation problems
  • Develop error-correction protocols to overcome quantum decoherence challenges
  • Collaborate with hardware teams to prototype quantum circuits on superconducting and photonic platforms
  • Publish research in top-tier journals and present at international conferences
  • Lead cross-functional projects with AI and materials science divisions
  • Mentor junior researchers and contribute to patent development
  • Secure external funding through NSF and DARPA grants

Qualifications

  • PhD in Physics, Computer Science, Mathematics, or related field
  • 3+ years of hands-on quantum computing research experience
  • Proficiency in quantum programming languages (Qiskit, Cirq, Q#)
  • Strong background in linear algebra, quantum mechanics, and complexity theory
  • Publication record in Nature/Science or equivalent journals
  • Experience with quantum hardware platforms (IBM Quantum, Rigetti, IonQ)
  • Demonstrated ability to translate theoretical concepts into practical implementations
  • Excellent communication skills for technical and non-technical audiences

Required Skills

Quantum Computing Qiskit Cirq Q# Superconducting Qubits Photonic Computing Quantum Error Correction Machine Learning Linear Algebra Quantum Mechanics

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