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Quantum Computing Research Scientist

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

Shape the future at Nexus Quantum Labs, where we're pioneering the next frontier of computational technology. As a Quantum Computing Research Scientist, you'll join an elite team developing revolutionary algorithms and hardware solutions that will redefine industries by 2026. Our state-of-the-art facility in San Francisco offers unparalleled resources and collaborative freedom to explore quantum supremacy applications.

We're seeking visionaries who thrive at the intersection of physics, computer science, and innovation. This role offers competitive equity, flexible work arrangements, and direct impact on breakthrough projects in cryptography, material science, and AI optimization.

Responsibilities

  • Design and implement quantum algorithms for complex computational challenges
  • Collaborate with hardware teams to optimize quantum system performance
  • Lead research on quantum error correction and fault-tolerant systems
  • Publish findings in peer-reviewed journals and present at industry conferences
  • Develop prototypes for quantum machine learning applications
  • Secure research funding through grant proposals and industry partnerships
  • Mentor junior researchers and foster cross-functional innovation

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
  • 5+ years of hands-on quantum algorithm development experience
  • Proficiency with quantum programming languages (Q#, Qiskit, Cirq)
  • Publication record in quantum computing or related fields
  • Deep understanding of quantum mechanics and information theory
  • Experience with superconducting or trapped-ion quantum systems
  • Strong analytical skills and ability to translate complex theories into practical solutions

Required Skills

Quantum Computing Quantum Algorithms Qiskit Q# Machine Learning Cryptography Superconducting Systems Fault-Tolerant Computing Research Methodology

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