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Quantum Computing Researcher

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

Job Description

Join Nexus Quantum Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking visionary researchers to develop next-gen quantum algorithms and applications that will redefine industries. Our state-of-the-art facility in San Francisco's tech hub offers unparalleled resources and collaboration opportunities with Nobel laureates and industry pioneers. This role offers competitive equity packages, flexible work arrangements, and dedicated R&D funding for breakthrough projects.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and machine learning applications
  • Lead experimental validation of quantum computing protocols using superconducting qubit systems
  • Collaborate with hardware teams to co-design quantum-resistant cryptographic frameworks
  • Publish high-impact research in leading journals and present at international conferences
  • Develop quantum simulation tools for pharmaceutical and materials science applications
  • Secure external funding through NSF grants and industry partnerships
  • Mentor junior researchers and contribute to lab's strategic roadmap for 2026

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science with 3+ years industry experience
  • Expertise in quantum circuit design and error correction methodologies
  • Proficiency with quantum programming frameworks (Qiskit, Cirq, or Q#)
  • Publication record in Nature/Science or equivalent tier journals
  • Experience with cryogenic quantum systems and control electronics
  • Strong background in complex mathematical modeling and statistical analysis
  • Demonstrated ability to secure government research grants
  • Passion for ethical AI development and quantum democratization

Required Skills

Quantum Computing Algorithm Development Cryptography Machine Learning Superconducting Systems Qiskit Research Funding Scientific Publishing

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