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Quantum Computing Researcher

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

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer the next frontier of computing. We're seeking a Quantum Computing Researcher to architect breakthrough solutions that will redefine industries by 2026. This role offers unparalleled opportunities to collaborate with Nobel laureates and contribute to projects that will shape the future of artificial intelligence, cryptography, and material science.

Our state-of-the-art facility in San Francisco houses the world's most advanced quantum processors. You'll work in an environment that values bold experimentation, where 20% of your time is dedicated to self-directed research initiatives. We provide comprehensive benefits including relocation assistance, equity grants, and unlimited learning stipends.

Responsibilities

  • Design and implement quantum algorithms for complex optimization problems
  • Develop error-correction protocols for fault-tolerant quantum systems
  • Collaborate with AI teams to integrate quantum computing into machine learning workflows
  • Author peer-reviewed publications and present findings at international conferences
  • Lead cross-functional projects bridging quantum physics and software engineering
  • Mentor junior researchers and foster a culture of quantum innovation

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science
  • 3+ years of hands-on experience with quantum circuit design
  • Expertise in quantum programming languages (Q#, Qiskit, Cirq)
  • Published research in top-tier quantum computing journals
  • Strong background in linear algebra and quantum information theory
  • Experience with cloud-based quantum computing platforms (IBM Quantum, Amazon Braket)
  • Demonstrated ability to translate complex quantum concepts into practical applications

Required Skills

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

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