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Quantum Computing Researcher

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

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Quantum Computing Researcher to develop next-generation algorithms and hardware architectures that will redefine computational boundaries. This role offers unparalleled opportunities to collaborate with Nobel laureates and contribute to breakthroughs in cryptography, material science, and AI optimization. Our state-of-the-art facility in San Francisco provides cutting-edge resources and a dynamic, interdisciplinary environment where your ideas can shape the future of technology.

Responsibilities

  • Design and implement quantum algorithms for complex optimization problems
  • Collaborate with hardware engineers to develop scalable quantum processors
  • Lead research initiatives in quantum error correction and fault tolerance
  • Publish findings in peer-reviewed journals and present at international conferences
  • Secure federal grants and industry partnerships for quantum research
  • Mentor junior researchers in quantum physics and computational theory
  • Develop prototypes for quantum applications in finance, healthcare, and logistics

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 3+ years of hands-on quantum algorithm development experience
  • Expertise in quantum programming languages (Q#, Qiskit, Cirq)
  • Strong publication record in top-tier scientific journals
  • Proficiency with quantum simulation tools (QASM, Quil)
  • Demonstrated ability to secure research funding ($1M+ preferred)
  • Experience with superconducting or photonic quantum systems
  • Deep understanding of quantum information theory and complexity classes

Required Skills

Quantum Computing Algorithm Development Quantum Programming Research Methodology Hardware Integration Scientific Publishing Grant Writing Machine Learning

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