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Quantum Computing Research Scientist

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
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 seek a visionary Quantum Computing Research Scientist to develop next-gen algorithms and hardware interfaces that will redefine computational boundaries. This role offers unparalleled opportunities to shape the future of AI, cryptography, and materials science.

Our state-of-the-art facility in San Francisco's innovation district provides collaborative spaces equipped with cutting-edge quantum processors, while our competitive compensation package includes equity, flexible work arrangements, and dedicated research funding.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and machine learning applications
  • Develop error-correction protocols to enhance quantum processor stability
  • Collaborate with hardware teams to optimize quantum-classical hybrid systems
  • Lead cross-functional research projects with AI and materials science divisions
  • Publish breakthrough findings in top-tier journals and industry conferences
  • Secure federal and private research grants for quantum computing initiatives
  • Mentor junior researchers in quantum information theory

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field with 3+ years research experience
  • Proficiency in quantum programming languages (Qiskit, Cirq, Q#) and simulation frameworks
  • Published work in quantum algorithms or quantum error correction
  • Experience with superconducting or trapped-ion quantum systems
  • Strong background in linear algebra, probability theory, and computational complexity
  • Track record of securing research funding or patents
  • Excellent communication skills for technical and non-technical audiences

Required Skills

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

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