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Quantum Computing Research Scientist

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 150.000 – USD 250.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join Nexus Quantum Labs at the forefront of technological evolution. We're pioneering breakthroughs in quantum computing for the 2026 horizon, and we need visionary minds to redefine what's possible. As a Quantum Computing Research Scientist, you'll collaborate with world-class teams to solve complex problems in cryptography, materials science, and artificial intelligence. Our state-of-the-art lab in San Francisco offers unparalleled resources, competitive compensation, and the opportunity to shape the future of technology. If you're passionate about pushing boundaries and contributing to humanity's next great leap, we want to hear from you.

Responsibilities

  • Design and execute quantum algorithms to solve real-world computational challenges
  • Collaborate with hardware teams to optimize quantum system performance
  • Develop novel error correction techniques for quantum coherence
  • Lead research initiatives in quantum machine learning applications
  • Publish findings in peer-reviewed journals and present at industry conferences
  • Secure external funding through grants and partnerships
  • Mentor junior researchers and foster cross-functional innovation

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 3+ years of hands-on experience with quantum programming (Qiskit, Cirq)
  • Expertise in quantum error correction and fault-tolerant architectures
  • Strong publication record in top-tier scientific journals
  • Proven ability to translate theoretical concepts into practical applications
  • Experience securing research grants from NSF, DoD, or equivalent bodies
  • Deep understanding of quantum hardware limitations and mitigation strategies
  • Excellent communication skills for technical and non-technical audiences

Required Skills

Quantum Computing Quantum Algorithms Error Correction Qiskit Cirq Machine Learning Cryptography Research Methodology

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