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Quantum Computing Research Scientist

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join Nexus Quantum Labs at the forefront of technological evolution as we pioneer the next generation of quantum computing systems. We're seeking a visionary Quantum Computing Research Scientist to develop breakthrough algorithms and architectures that will redefine computational capabilities by 2026. Collaborate with world-class physicists and engineers in our state-of-the-art facility, where your work directly impacts fields from cryptography to AI optimization. We offer competitive compensation, cutting-edge resources, and unparalleled opportunities to shape the future of quantum technology.

Responsibilities

  • Design and implement novel quantum algorithms for practical industrial applications
  • Lead research in quantum error correction and fault-tolerant computing systems
  • Collaborate with hardware teams to optimize quantum circuit implementations
  • Publish high-impact research in peer-reviewed journals and conferences
  • Develop quantum simulation frameworks for complex molecular and material systems
  • Mentor junior researchers and foster cross-disciplinary innovation
  • Secure research funding through government and industry partnerships

Qualifications

  • PhD in Physics, Computer Science, or related field with quantum computing focus
  • 3+ years of hands-on experience with quantum programming languages (Q#, Qiskit, Cirq)
  • Publication record in top-tier quantum computing conferences (QIP, TQC)
  • Deep understanding of quantum mechanics principles and quantum information theory
  • Proficiency in high-performance computing and parallel programming
  • Demonstrated ability to translate theoretical concepts into experimental prototypes
  • Strong collaborative skills and ability to communicate complex concepts to diverse audiences

Required Skills

Quantum Computing Quantum Algorithms Qiskit Q# Quantum Error Correction High-Performance Computing Machine Learning Cryptography

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