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Quantum Computing Researcher

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

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer breakthroughs in quantum computing for 2026. We seek a visionary Quantum Computing Researcher to develop scalable quantum algorithms and solve previously unsolvable computational challenges. In this role, you'll collaborate with Nobel laureates and industry disruptors to build the next generation of quantum processors.

Our state-of-the-art lab in San Francisco offers unparalleled resources, including 128-qubit quantum processors and dedicated AI-assisted research environments. You'll contribute to projects that will redefine cryptography, materials science, and artificial intelligence while shaping the technological landscape of the coming decade.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and machine learning applications
  • Develop error correction protocols for scalable quantum systems
  • Collaborate with hardware teams to improve qubit coherence times
  • Lead research publications in top-tier quantum computing journals
  • Advise on quantum-resistant cryptography implementations
  • Mentor junior researchers in quantum programming languages
  • Participate in government and industry quantum technology initiatives

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 3+ years experience with quantum circuit design (Qiskit, Cirq)
  • Proficiency in quantum error correction techniques
  • Publication record in quantum computing research
  • Strong background in linear algebra and probability theory
  • Experience with high-performance computing clusters
  • Knowledge of quantum machine learning frameworks
  • Ability to communicate complex quantum concepts to non-technical stakeholders

Required Skills

Quantum Computing Quantum Algorithms Error Correction Qiskit Cirq Cryptography Machine Learning High-Performance Computing

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