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Quantum Computing Research Scientist

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

Job Description

Join Nexus Quantum Labs at the forefront of technological evolution! We're pioneering quantum computing breakthroughs that will reshape industries by 2026. As a Quantum Computing Research Scientist, you'll collaborate with world-class engineers to develop next-gen quantum algorithms and solve previously unsolvable computational challenges. Our state-of-the-art lab in San Francisco offers unparalleled resources for pushing the boundaries of quantum mechanics and practical application.

We offer competitive compensation, cutting-edge research opportunities, and a culture where innovation thrives. Help us build the quantum-powered future!

Responsibilities

  • Design and implement novel quantum algorithms for optimization, cryptography, and machine learning applications
  • Conduct advanced research on quantum error correction and fault-tolerant systems
  • Develop quantum software frameworks compatible with leading quantum hardware platforms
  • Collaborate with cross-functional teams to integrate quantum solutions into real-world applications
  • Publish research findings in top-tier scientific journals and present at international conferences
  • Mentor junior researchers and contribute to patent development

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field (or equivalent experience)
  • 3+ years of hands-on quantum algorithm development experience
  • Expertise in quantum programming languages (Q#, Qiskit, Cirq)
  • Strong background in quantum mechanics and linear algebra
  • Proven track record of peer-reviewed publications in quantum computing
  • Familiarity with quantum hardware architectures (superconducting, trapped ion, photonic)
  • Experience with high-performance computing and parallel programming

Required Skills

Quantum Computing Q# Qiskit Cirq Quantum Algorithms Quantum Error Correction Machine Learning Cryptography Linear Algebra Scientific Research

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