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Quantum Computing Research Lead

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 that will redefine industries by 2026. We're seeking a visionary Quantum Computing Research Lead to architect the next generation of quantum algorithms and drive breakthrough innovations in computational science.

In this pivotal role, you'll lead a multidisciplinary team of quantum physicists and engineers to develop scalable quantum systems, collaborate with Fortune 500 partners on real-world applications, and publish groundbreaking research in top-tier journals. You'll shape our quantum roadmap while mentoring the next generation of quantum pioneers.

We offer competitive equity packages, unlimited learning stipends, and access to our state-of-the-art quantum labs. If you're passionate about solving humanity's most complex challenges through quantum mechanics, this is your opportunity to make history.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and machine learning applications
  • Lead research initiatives in quantum error correction and fault-tolerant computing
  • Collaborate with industry partners to develop quantum solutions for finance, logistics, and pharmaceuticals
  • Publish peer-reviewed research and present findings at international quantum conferences
  • Manage cross-functional teams of quantum physicists and software engineers
  • Drive quantum hardware integration with classical computing systems
  • Secure research grants and partnerships with quantum computing leaders

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field with 8+ years of research experience
  • Published work in top quantum computing journals (Nature, Science, PRL)
  • Expertise in quantum programming languages (Qiskit, Cirq, Q#) and simulation frameworks
  • Proven track record of leading quantum research teams and securing research funding
  • Deep understanding of quantum hardware architectures (superconducting, trapped ion, photonic)
  • Experience developing quantum algorithms for practical industry applications
  • Strong communication skills for translating complex quantum concepts to stakeholders

Required Skills

Quantum Computing Quantum Algorithms Quantum Error Correction Qiskit Cirq Quantum Machine Learning Research Leadership Scientific Publishing Fault-Tolerant Computing

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