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Quantum Computing Research Scientist

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

Job Description

Join Nexus Quantum Labs at the forefront of computational revolution. As we pioneer the next generation of quantum systems, we seek visionary research scientists to develop breakthrough algorithms and architectures that will redefine technology by 2026. Our interdisciplinary team collaborates with MIT, Stanford, and IBM to solve humanity's most complex challenges in cryptography, materials science, and artificial intelligence.

Located in San Francisco's tech corridor, our state-of-the-art facility provides unparalleled resources for quantum experimentation. We offer competitive equity packages, flexible work arrangements, and dedicated R&D budgets. Shape the future of computing while working alongside Nobel laureates and industry pioneers.

Responsibilities

  • Design and implement quantum algorithms for optimization and machine learning applications
  • Develop error-correction protocols for fault-tolerant quantum systems
  • Collaborate with hardware teams to validate quantum processor architectures
  • Publish research in leading journals and present at IEEE/APS conferences
  • Lead cross-functional projects with AI and materials science divisions
  • Secure $2M+ annual research grants from NSF and DARPA
  • Mentor postdoctoral researchers in quantum information theory

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science
  • 5+ years of experience with quantum programming languages (Q#, Qiskit)
  • Expertise in quantum error correction and fault-tolerance
  • Published research in Nature/Science journals
  • Proficiency with superconducting or photonic quantum systems
  • Demonstrated grant-writing success for federal funding
  • Strong background in linear algebra and quantum mechanics
  • Experience with cloud quantum platforms (Azure Quantum, Braket)

Required Skills

Quantum Computing Qiskit Q# Error Correction Fault Tolerance Quantum Algorithms Superconducting Systems Machine Learning Cryptography Linear Algebra Grant Writing

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