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Quantum Computing Research Scientist

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
5 Juli 2026
Deadline
5 Jul 2027

Job Description

Join Nexus Quantum Labs at the forefront of technological evolution as we pioneer breakthroughs for the 2026 quantum computing landscape. We seek a visionary Research Scientist to develop next-gen quantum algorithms and error-correction protocols that will redefine computational boundaries. This role offers unparalleled access to state-of-the-art quantum hardware and collaborative partnerships with leading global research institutions. Shape the future of technology while contributing to projects with transformative potential in cryptography, materials science, and artificial intelligence.

Responsibilities

  • Design and implement novel quantum algorithms for NISQ-era and fault-tolerant systems
  • Develop error-correction techniques to achieve quantum advantage by 2026
  • Collaborate with hardware engineers to optimize quantum circuit performance
  • Lead research initiatives in quantum machine learning and cryptography applications
  • Publish findings in peer-reviewed journals and present at international conferences
  • Mentor junior researchers and foster cross-functional innovation
  • Secure external funding through NSF and DARPA grant proposals

Qualifications

  • PhD in Physics, Computer Science, or Quantum Information Science
  • 3+ years of hands-on quantum computing research experience
  • Expertise in quantum circuit design and quantum error correction
  • Publication record in top-tier quantum computing journals
  • Proficiency with quantum programming frameworks (Qiskit, Cirq, Quil)
  • Strong background in linear algebra, probability, and computational complexity
  • Demonstrated ability to translate theoretical concepts into experimental protocols
  • Experience with high-performance computing and parallel processing

Required Skills

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

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