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Quantum Computing Research Scientist

NexusLabs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
21 Mei 2026
Deadline
21 Mei 2027

Job Description

Join NexusLabs at the forefront of technological innovation as we pioneer quantum computing solutions for 2026 and beyond. As a Quantum Computing Research Scientist, you'll design and implement next-generation quantum algorithms, collaborate with world-class physicists and engineers, and contribute to breakthroughs that will redefine computational capabilities. Our state-of-the-art facility in San Francisco offers unparalleled resources for cutting-edge research, including access to proprietary quantum processors and a team of Nobel Prize-winning mentors.

Responsibilities

  • Design and optimize quantum algorithms for real-world applications in cryptography, material science, and AI
  • Lead experimental quantum computing projects using superconducting qubit systems
  • Develop error-correction protocols to enhance quantum coherence and stability
  • Collaborate with hardware teams to translate theoretical models into functional quantum circuits
  • Publish research in top-tier journals and present findings at international conferences
  • Mentor junior researchers and drive innovation in quantum software development

Qualifications

  • PhD in Physics, Computer Science, or related field with quantum computing specialization
  • 3+ years of hands-on experience with quantum programming languages (Q#, Qiskit, Cirq)
  • Deep understanding of quantum mechanics, quantum information theory, and quantum error correction
  • Proven track record of publishing peer-reviewed research in quantum computing
  • Expertise in high-performance computing and parallel processing architectures
  • Strong analytical skills with ability to solve complex multi-variable problems
  • Experience with quantum hardware integration and calibration protocols

Required Skills

Quantum Computing Quantum Algorithms Q# Qiskit Superconducting Qubits Quantum Error Correction High-Performance Computing Cryptography Material Science

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