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Quantum Computing Research Scientist (2026 Vision)

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

Job Description

Shape the technological frontier of 2026 at Nexus Quantum Labs! We're pioneering next-generation quantum computing solutions that will redefine industries by 2026. Join our elite team of researchers to develop breakthrough algorithms, optimize quantum systems, and collaborate with Fortune 500 partners on real-world applications. This is your chance to work at the intersection of theoretical physics and practical innovation in a culture that celebrates bold thinking and scientific excellence.

Responsibilities

  • Design and implement novel quantum algorithms for 2026-era computing challenges
  • Lead experimental research in quantum error correction and system optimization
  • Collaborate with cross-functional teams to translate quantum theory into practical solutions
  • Publish high-impact research in peer-reviewed journals and industry conferences
  • Develop quantum software frameworks compatible with emerging hardware platforms
  • Secure and manage research partnerships with academic institutions and industry leaders
  • Present findings to executive stakeholders and technical advisory boards

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field (MS with exceptional experience considered)
  • 3+ years of hands-on quantum algorithm development or quantum hardware research
  • Expertise in quantum programming languages (Q#, Qiskit, Cirq) and simulation frameworks
  • Strong publication record in quantum computing or theoretical physics
  • Deep understanding of quantum mechanics principles and quantum information theory
  • Experience with quantum hardware platforms (IBM Quantum, Rigetti, IonQ)
  • Proven ability to lead complex research projects with measurable outcomes

Required Skills

Quantum Computing Quantum Algorithms Q# Qiskit Cirq Quantum Error Correction Theoretical Physics Quantum Hardware Machine Learning Scientific Research

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