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Quantum Computing Research Scientist

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join Nexus Future Labs at the forefront of technological innovation as we pioneer breakthroughs in quantum computing for 2026 and beyond. We're seeking visionary Research Scientists to develop next-gen quantum algorithms and solve previously unsolvable computational challenges. Our state-of-the-art facility in San Francisco offers unparalleled resources for experimentation and collaboration with leading experts in quantum physics, cryptography, and artificial intelligence.

This role is ideal for candidates passionate about pushing the boundaries of computational science and contributing to technologies that will define the next decade of human progress.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation problems
  • Develop error-correction protocols to advance quantum system stability
  • Collaborate with hardware engineers to optimize quantum gate operations
  • Lead research projects on quantum machine learning applications
  • Publish findings in peer-reviewed journals and present at international conferences
  • Mentor junior researchers and contribute to patent development
  • Stay current with emerging quantum technologies and industry trends

Qualifications

  • PhD in Physics, Computer Science, or related field with quantum computing focus
  • 3+ years of hands-on experience with quantum programming (Qiskit, Cirq, or Q#)
  • Strong background in linear algebra, quantum mechanics, and complexity theory
  • Proven track record of publishing quantum research in top-tier journals
  • Experience with quantum hardware platforms (IBM Quantum, Rigetti, or IonQ)
  • Proficiency in Python, C++, and high-performance computing frameworks
  • Excellent problem-solving skills and ability to work in interdisciplinary teams

Required Skills

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

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