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Quantum Computing Research Scientist

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

Job Description

Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking visionary Quantum Computing Research Scientists to develop next-gen algorithms and hardware architectures that will redefine computational capabilities. You'll collaborate with Nobel laureates and industry pioneers in our state-of-the-art facility overlooking the Bay, pushing the boundaries of quantum supremacy, error correction, and practical quantum applications.

Responsibilities

  • Design and implement novel quantum algorithms for optimization, cryptography, and machine learning
  • Develop error mitigation techniques and fault-tolerant quantum computing architectures
  • Lead experimental validation of quantum systems using superconducting and photonic platforms
  • Collaborate with cross-functional teams to translate quantum research into commercial applications
  • Publish breakthrough findings in top-tier journals and present at international conferences
  • Secure government and private funding for quantum computing research initiatives
  • Mentor junior researchers and contribute to patent development

Qualifications

  • PhD in Physics, Computer Science, Electrical Engineering, or related field
  • 5+ years of quantum computing research with proven publications in Nature/Science
  • Expertise in quantum error correction, quantum algorithms, or quantum hardware design
  • Proficiency in quantum programming frameworks (Qiskit, Cirq, Q#)
  • Experience with superconducting qubits, trapped ions, or photonic quantum systems
  • Strong background in linear algebra, statistical mechanics, and information theory
  • Track record of securing research grants exceeding $1M

Required Skills

Quantum Computing Quantum Algorithms Error Correction Superconducting Qubits Qiskit Machine Learning Cryptography Research Methodology

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