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Quantum Computing Research Lead

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

Job Description

Join Nexus Labs at the forefront of quantum computing innovation as we prepare for the technological revolution of 2026. We're seeking a visionary Quantum Computing Research Lead to spearhead breakthroughs in quantum algorithms, error correction, and hardware optimization. You'll lead a multidisciplinary team of physicists, engineers, and computer scientists to solve previously impossible computational challenges. This role offers unparalleled opportunities to shape the future of computing and contribute to projects that will redefine industries by 2026.

Responsibilities

  • Lead quantum algorithm development for optimization, cryptography, and simulation applications
  • Design and implement quantum error correction protocols for fault-tolerant systems
  • Collaborate with hardware teams to integrate quantum processors with classical computing frameworks
  • Publish research in peer-reviewed journals and present at international conferences
  • Drive innovation in quantum machine learning and AI integration
  • Manage research budgets and secure external funding from government and private sources
  • Mentor junior researchers and foster a culture of scientific excellence

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field
  • 5+ years of experience in quantum research with published papers in top-tier journals
  • Expertise in quantum programming languages (Q#, Qiskit, Cirq)
  • Strong background in quantum error correction and fault tolerance
  • Proven track record of leading complex research projects
  • Experience with quantum hardware platforms (superconducting, trapped ions, photonic)
  • Excellent communication skills for translating complex concepts to diverse stakeholders

Required Skills

Quantum Computing Quantum Algorithms Error Correction Q# Qiskit Cirq Fault Tolerance Superconducting Qubits Quantum Machine Learning

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