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Quantum Computing Researcher

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 150.000 – USD 220.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Shape the future of technology at Nexus Quantum Labs as we pioneer the quantum revolution. We're seeking visionary Quantum Computing Researchers to develop breakthrough algorithms and systems that will define 2026's technological landscape. Join our interdisciplinary team of physicists, engineers, and computer scientists in creating the next generation of computational power.

Our San Francisco headquarters offers state-of-the-art quantum labs, competitive compensation, and unparalleled opportunities to publish research in leading journals. You'll collaborate with Nobel laureates and industry disruptors while contributing to projects that could revolutionize medicine, cryptography, and artificial intelligence.

Responsibilities

  • Lead research in quantum algorithms and error correction methodologies
  • Design and implement scalable quantum circuits on superconducting platforms
  • Develop hybrid quantum-classical machine learning frameworks
  • Collaborate with hardware teams to optimize qubit coherence times
  • Author peer-reviewed publications and present findings at international conferences
  • Mentor junior researchers and supervise PhD interns
  • Secure external funding through NSF and DoE grant applications

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 3+ years of hands-on quantum programming experience (Qiskit/Cirq)
  • Published research in Nature/Science or top-tier quantum journals
  • Expertise in quantum error correction and fault-tolerant architectures
  • Strong background in quantum information theory and linear algebra
  • Proficiency in Python, C++, and high-performance computing frameworks
  • Demonstrated ability to secure competitive research grants

Required Skills

quantum computing quantum algorithms superconducting qubits error correction Qiskit Cirq machine learning quantum information theory high-performance computing grant writing

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