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Quantum Computing Researcher

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

Job Description

Join Nexus Quantum Labs at the forefront of technological revolution as we pioneer quantum computing solutions that will redefine industries by 2026. As a Quantum Computing Researcher, you'll collaborate with Nobel laureates and MIT-trained engineers to develop breakthrough algorithms and hardware systems. Our state-of-the-art facility in San Francisco offers unparalleled resources, including 128-qubit processors and cryogenic engineering labs. We provide competitive equity packages, flexible work arrangements, and dedicated R&D budgets for groundbreaking projects. Shape the future of computational science while advancing humanity's understanding of quantum mechanics.

Responsibilities

  • Design and implement quantum algorithms for optimization and simulation problems
  • Develop error-correction protocols to stabilize qubit coherence
  • Collaborate on quantum hardware integration with superconducting circuits
  • Publish research in top-tier journals (Nature, Science, Quantum) with quarterly targets
  • Mentor PhD candidates and lead cross-functional innovation sprints
  • Secure federal and private research grants totaling $2M+ annually
  • Participate in quantum security standards development with NIST

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field with 3+ years industry experience
  • Published research in quantum error correction or topological qubits
  • Proficiency in Qiskit, Cirq, or quantum circuit simulation frameworks
  • Expertise in low-temperature physics and microwave engineering
  • Demonstrated ability to secure DARPA or NSF grants
  • Strong background in machine learning for quantum applications
  • Experience with cryogenic systems and RF pulse engineering
  • Track record of commercializing quantum technologies

Required Skills

Quantum Computing Quantum Physics Cryogenic Engineering Qiskit Machine Learning Low-Temperature Physics RF Engineering Research Grant Writing

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