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Quantum Computing Researcher

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

Job Description

Join Nexus Labs at the forefront of technological evolution as a Quantum Computing Researcher. We're pioneering quantum algorithms that will redefine computational boundaries by 2026. In this role, you'll develop next-gen quantum systems while collaborating with Nobel laureates and industry pioneers. Our state-of-the-art lab offers unparalleled resources to accelerate breakthroughs in quantum cryptography, simulation, and AI integration. We provide competitive equity packages, flexible work arrangements, and opportunities to publish in top-tier journals. If you're passionate about shaping the quantum revolution, this is your moment to make history.

Responsibilities

  • Design and implement quantum algorithms for practical applications in cryptography and optimization
  • Lead experimental validation of quantum hardware prototypes at cryogenic temperatures
  • Collaborate with AI teams to develop hybrid quantum-classical machine learning models
  • Author peer-reviewed research papers and present findings at international conferences
  • Mentor junior researchers and contribute to quantum computing patent portfolio
  • Secure research funding through NSF and DARPA grant applications

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field (or equivalent experience)
  • 3+ years hands-on experience with quantum programming languages (Qiskit, Cirq, or Q#)
  • Published research in quantum computing or quantum information theory
  • Proficiency in cryogenic quantum system engineering and error correction techniques
  • Demonstrated ability to secure competitive research grants
  • Strong background in linear algebra, statistical mechanics, and computational theory
  • Experience with high-performance computing clusters and parallel processing

Required Skills

Quantum Computing Cryogenic Engineering Qiskit Cirq Quantum Cryptography Machine Learning Research Methodology High-Performance Computing

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