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Quantum Computing Research Scientist

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

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer quantum computing solutions that will redefine industries by 2026. We're seeking visionary Quantum Computing Research Scientists to architect next-gen algorithms and systems that leverage quantum mechanics to solve previously unsolvable problems. Collaborate with Nobel laureates and top-tier engineers in our state-of-the-art facility, where your work will directly impact breakthroughs in cryptography, materials science, and AI optimization. We offer competitive equity packages, flexible hybrid work arrangements, and unparalleled opportunities to shape the quantum revolution.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation challenges
  • Develop error-correction protocols to advance quantum system stability
  • Lead cross-functional R&D initiatives in quantum machine learning applications
  • Publish groundbreaking research in top-tier scientific journals and conferences
  • Collaborate with hardware teams to co-design quantum processors and control systems
  • Secure patents for proprietary quantum computing methodologies
  • Mentor junior researchers and foster a culture of innovation

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field
  • 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq, Q#)
  • Expertise in quantum error correction and fault-tolerant architectures
  • Proven track record of peer-reviewed publications in quantum computing
  • Strong background in linear algebra, quantum mechanics, and computational complexity
  • Experience with high-performance computing and parallel processing
  • Excellent problem-solving skills and ability to work in interdisciplinary teams

Required Skills

Quantum Computing Quantum Algorithms Qiskit Cirq Quantum Error Correction Machine Learning High-Performance Computing Physics Cryptography

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