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Quantum Computing Research Lead

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

Job Description

Join Nexus Future Labs at the forefront of technological evolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Quantum Computing Research Lead to architect breakthrough systems that will redefine computational paradigms. In this pivotal role, you'll lead a multidisciplinary team of physicists, engineers, and AI specialists to develop scalable quantum processors while collaborating with Fortune 500 partners to solve previously unsolvable challenges in cryptography, materials science, and artificial intelligence.

This position offers unparalleled resources—including our state-of-the-art Quantum Neural Interface Lab—and the opportunity to shape the next generation of human-machine symbiosis. You'll present findings at global tech summits and contribute to our open-source quantum algorithms initiative that's democratizing access to quantum supremacy.

Responsibilities

  • Design and implement quantum algorithms for practical commercial applications
  • Lead cross-functional R&D teams in developing fault-tolerant quantum processors
  • Establish industry partnerships for real-world quantum computing validation
  • Author peer-reviewed publications and patent novel quantum methodologies
  • Develop ethical frameworks for quantum AI integration in enterprise systems
  • Mentor junior researchers in quantum information theory and computational physics
  • Oversee deployment of quantum cloud services for enterprise clients

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field with 8+ years experience
  • Proven track record of publishing in Nature/Science journals on quantum computing
  • Expertise in quantum error correction and topological qubit architectures
  • Proficiency with quantum programming languages (Qiskit, Cirq, Q#)
  • Experience leading teams in high-pressure R&D environments
  • Deep understanding of quantum machine learning and quantum neural networks
  • Strong background in cryogenic engineering and quantum hardware integration

Required Skills

Quantum Computing Quantum Algorithms Cryogenic Engineering Qiskit Cirq Q# Quantum Machine Learning Topological Qubits Quantum Error Correction Quantum AI Research Leadership

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