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Quantum Computing Research Lead

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join Nexus Quantum Labs at the forefront of technological revolution as we pioneer the next generation of quantum computing solutions. We're seeking a visionary Quantum Computing Research Lead to drive breakthrough innovations that will redefine the digital landscape of 2026 and beyond. This role offers unparalleled opportunities to shape the future of computational science while working with world-class researchers and cutting-edge infrastructure.

What You'll Achieve:

  • Lead groundbreaking research in quantum algorithms and error correction
  • Collaborate with industry partners to solve real-world complex problems
  • Publish findings in top-tier scientific journals and conferences
  • Develop scalable quantum computing architectures
  • Mentor a team of exceptional quantum researchers

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation
  • Drive the development of quantum error correction protocols
  • Lead cross-functional research initiatives with academic and industry partners
  • Secure funding through competitive grant proposals
  • Present research findings at international quantum computing conferences
  • Oversee quantum hardware-software integration projects
  • Develop intellectual property strategy for quantum innovations

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 5+ years of hands-on quantum computing research experience
  • Expertise in quantum algorithm development and implementation
  • Published record in peer-reviewed quantum computing journals
  • Proficiency with quantum programming languages (Q#, Qiskit, Cirq)
  • Strong background in quantum error correction and fault tolerance
  • Experience leading research teams and managing research budgets

Required Skills

Quantum Computing Quantum Algorithms Quantum Error Correction Q# Qiskit Fault-Tolerant Systems Quantum Hardware Machine Learning

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