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Quantum Computing Research Scientist

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Join Nexus Quantum Labs at the forefront of computational revolution as we pioneer quantum solutions for 2026's most complex challenges. We're seeking a visionary Quantum Computing Research Scientist to develop breakthrough algorithms and protocols that will redefine industries. Collaborate with Nobel laureates and cutting-edge engineers in our state-of-the-art San Francisco lab.

This role offers unparalleled opportunities to shape quantum computing's future while working with next-generation hardware from industry partners like IBM Quantum and Rigetti. You'll contribute to projects spanning cryptography optimization, drug discovery acceleration, and climate modeling systems.

Responsibilities

  • Design and implement quantum algorithms for practical commercial applications
  • Lead research initiatives in quantum error correction and fault tolerance
  • Develop hybrid quantum-classical computing frameworks for enterprise solutions
  • Collaborate with hardware teams to optimize quantum circuit performance
  • Publish peer-reviewed research in top-tier journals and conferences
  • Mentor junior researchers and drive innovation through internal hackathons
  • Secure patents for novel quantum methodologies and IP

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 3+ years of hands-on quantum algorithm development experience
  • Proficiency with Qiskit, Cirq, or similar quantum programming frameworks
  • Publication record in quantum computing or theoretical physics
  • Deep understanding of quantum mechanics principles and topological computing
  • Experience with cloud quantum platforms (Azure Quantum, Amazon Braket)
  • Strong analytical skills with ability to translate complex theories into practical solutions

Required Skills

Quantum Computing Qiskit Cirq Quantum Algorithms Theoretical Physics Cryptography Machine Learning Topological Computing Cloud Quantum Platforms

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