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Quantum Computing Research Scientist 2026

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

Job Description

Join Nexus Quantum Labs at the forefront of technological evolution as we pioneer quantum computing solutions for 2026 and beyond. We seek a visionary Research Scientist to develop next-gen quantum algorithms and protocols that will redefine computational paradigms. Work in our state-of-the-art facility collaborating with Nobel laureates and industry disruptors to solve humanity's most complex challenges.

Our team operates at the intersection of quantum mechanics, artificial intelligence, and sustainable technology. You'll access cutting-edge resources including 512-qubit processors, cryogenic systems, and dedicated research budgets exceeding $50M annually. This role offers unparalleled opportunities to publish in top-tier journals and contribute to patent portfolios valued at over $2B.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation problems
  • Develop error correction protocols for fault-tolerant quantum computing systems
  • Lead cross-functional research initiatives in quantum machine learning applications
  • Collaborate with hardware teams to co-design quantum processors and interfaces
  • Publish breakthrough research in Nature/Science journals and secure patents
  • Mentor junior researchers and develop quantum computing curricula for 2026
  • Secure $5M+ in government/private research funding annually

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field with 5+ years research experience
  • Published peer-reviewed research in quantum computing or quantum information theory
  • Proficiency in quantum programming languages (Q#, Qiskit, Cirq) and classical Python/C++
  • Expertise in quantum error correction and fault-tolerant architectures
  • Track record of securing significant research grants or patents
  • Experience with quantum hardware platforms (IBM, Rigetti, IonQ)
  • Deep understanding of quantum machine learning and hybrid quantum-classical systems

Required Skills

Quantum Computing Quantum Algorithms Fault Tolerance Qiskit Q# Machine Learning Cryogenics Quantum Cryptography

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