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Quantum Computing Researcher

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join Nexus Quantum Labs at the forefront of technological revolution. We're pioneering quantum computing solutions that will redefine industries by 2026. As a Quantum Computing Researcher, you'll collaborate with Nobel laureates and top-tier engineers to develop scalable quantum algorithms, error-correction protocols, and next-generation hardware architectures. Our state-of-the-art lab in San Francisco offers unparalleled resources, including access to 128-qubit processors and dedicated cryogenic testing facilities. This is your chance to shape the future of computation and contribute to breakthroughs in cryptography, materials science, and AI optimization.

Responsibilities

  • Design and implement novel quantum algorithms for real-world applications
  • Develop error-correction techniques to stabilize quantum systems
  • Collaborate on quantum hardware optimization projects
  • Lead research initiatives in quantum machine learning integration
  • Publish findings in top-tier journals and present at international conferences
  • Mentor junior researchers and foster cross-functional innovation
  • Secure research grants and partnerships with academic institutions

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 3+ years of hands-on quantum computing research experience
  • Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
  • Strong background in quantum error correction and fault tolerance
  • Publication record in quantum computing or high-energy physics
  • Expertise in quantum algorithm design and complexity analysis
  • Familiarity with quantum hardware architectures (superconducting, trapped ions)
  • Experience with high-performance computing and parallel processing

Required Skills

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

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