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Quantum Computing Research Scientist

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join Nexus Quantum Labs at the forefront of technological evolution. We're pioneering breakthroughs in quantum computing to solve humanity's most complex challenges by 2026. As a key member of our research team, you'll develop cutting-edge quantum algorithms and contribute to scalable quantum systems that will redefine computing paradigms. Our state-of-the-art lab offers unparalleled resources and collaborative environment where innovation thrives.

We offer competitive compensation, comprehensive benefits, and the opportunity to shape the future of technology. Apply today to be part of the quantum revolution.

Responsibilities

  • Design and implement novel quantum algorithms for optimization, cryptography, and machine learning applications
  • Lead research on quantum error correction and fault-tolerant systems
  • Collaborate with hardware engineers to integrate quantum software with next-generation quantum processors
  • Publish high-impact research in peer-reviewed journals and present at international conferences
  • Develop quantum simulation frameworks for complex molecular and material science problems
  • Mentor junior researchers and foster cross-functional innovation

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field with 3+ years of research experience
  • Expertise in quantum programming languages (Q#, Qiskit, Cirq)
  • Strong background in quantum information theory and quantum algorithms
  • Proven track record of publications in top-tier quantum computing journals
  • Experience with quantum hardware platforms (IBM Q, Rigetti, etc.)
  • Proficiency in Python, C++, and high-performance computing environments
  • Excellent problem-solving skills and ability to work in fast-paced research environments

Required Skills

Quantum Computing Quantum Algorithms Qiskit Q# C++ Python Quantum Error Correction Fault-Tolerant Systems Machine Learning Cryptography

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