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Quantum Computing Research Scientist

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We seek a visionary Quantum Computing Research Scientist to develop breakthrough algorithms and applications that will redefine industries. You'll collaborate with Nobel laureates and top engineers in our state-of-the-art quantum lab, working on projects ranging from quantum cryptography to molecular simulation. This role offers unparalleled opportunities to shape the future of computational science while enjoying competitive benefits and flexible work arrangements.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and machine learning applications
  • Conduct experimental research on superconducting quantum processors and error mitigation techniques
  • Lead cross-functional teams to translate quantum theoretical models into practical solutions
  • Publish findings in top-tier journals and present at international conferences
  • Develop quantum software frameworks compatible with existing classical systems
  • Mentor junior researchers and contribute to quantum computing education initiatives

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field (or equivalent experience)
  • 3+ years of hands-on quantum computing research with published papers
  • Proficiency in quantum programming languages (Qiskit, Cirq, or Q#)
  • Strong background in linear algebra, quantum information theory, and statistical mechanics
  • Experience with superconducting qubit systems or trapped-ion quantum processors
  • Demonstrated ability to secure research grants and funding for quantum projects
  • Excellent problem-solving skills and passion for pushing scientific boundaries

Required Skills

Quantum Computing Qiskit Cirq Quantum Algorithms Superconducting Qubits Quantum Error Correction Machine Learning Linear Algebra Research Methodology

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