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Information Technology 🏢 Full Time ⭐️ Verified

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 evolution as we pioneer quantum computing solutions for 2026 and beyond. We seek a visionary Quantum Computing Research Scientist to develop next-gen algorithms, optimize qubit stability, and collaborate with Fortune 500 partners. Our state-of-the-art facility in San Francisco offers unparalleled resources including cryogenic systems and proprietary quantum simulators. This role includes competitive equity, flexible remote work options, and dedicated R&D funding for breakthrough projects.

Responsibilities

  • Design and implement novel quantum algorithms for practical enterprise applications
  • Lead experiments on 50+ qubit systems to achieve fault-tolerant quantum supremacy
  • Collaborate with hardware teams to mitigate decoherence in superconducting qubits
  • Develop hybrid quantum-classical frameworks for machine learning acceleration
  • Publish peer-reviewed research and present at IEEE Quantum Week
  • Secure $1M+ in research grants from NSF and DARPA
  • Mentor PhD researchers in quantum information theory

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
  • 3+ years hands-on experience with superconducting qubit manipulation
  • Proficiency in Qiskit, Cirq, or quantum circuit optimization tools
  • Published research in Nature Physics/Quantum or top-tier conference proceedings
  • Deep understanding of quantum error correction and topological qubits
  • Expertise in Python/C++ for quantum simulation development
  • Experience with low-temperature quantum hardware environments
  • Track record of translating theoretical models into experimental prototypes

Required Skills

Quantum Computing Qiskit Superconducting Qubits Quantum Error Correction Topological Qubits Python C++ Low-Temperature Physics Quantum Machine Learning

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