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Quantum Computing Research Lead

Nexus Labs
San Francisco
Estimated Salary
USD 220.000 – USD 300.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Join Nexus Labs at the forefront of technological revolution as we pioneer the next wave of quantum computing solutions. We're seeking visionary Quantum Computing Research Leads to architect breakthrough systems that will redefine industries by 2026. This role offers unparalleled resources to explore quantum algorithms, error correction, and scalable hardware architectures in our state-of-the-art research facility.

Our team operates at the intersection of physics, computer science, and AI, with access to quantum processors from industry partners and federal initiatives. You'll collaborate with Nobel laureates, publish in top-tier journals, and contribute to projects that will shape humanity's technological future.

Responsibilities

  • Design and implement quantum algorithms for optimization, cryptography, and machine learning applications
  • Lead cross-functional teams in developing quantum error correction protocols
  • Architect scalable quantum hardware interfaces and hybrid classical-quantum systems
  • Publish research in peer-reviewed journals and present at international conferences
  • Secure partnerships with quantum hardware providers and research institutions
  • Mentor junior researchers and drive innovation in quantum software development

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field
  • 5+ years of experience in quantum algorithm development or quantum hardware research
  • Expertise in quantum programming languages (Q#, Qiskit, Cirq)
  • Publication record in quantum computing or theoretical physics
  • Strong background in linear algebra, probability, and information theory
  • Experience with quantum simulation tools and high-performance computing
  • Ability to translate complex quantum concepts into practical business applications

Required Skills

Quantum Computing Qiskit Q# Error Correction Quantum Algorithms Machine Learning Cryptography High-Performance Computing Physics Simulation Research Leadership

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