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2026 Quantum Computing Researcher

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

Job Description

Join Nexus Quantum Labs at the forefront of technological evolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking an innovative Quantum Computing Researcher to develop next-generation algorithms and protocols that will redefine computational boundaries. This role offers unparalleled opportunities to work with cutting-edge hardware in a collaborative environment dedicated to solving humanity's most complex challenges.

Responsibilities

  • Design and implement quantum algorithms for practical applications in cryptography, optimization, and machine learning.
  • Conduct advanced research on quantum error correction and fault-tolerant computing systems.
  • Collaborate with hardware engineers to develop hybrid quantum-classical computing architectures.
  • Lead experimental validation of quantum protocols on state-of-the-art quantum processors.
  • Publish findings in leading scientific journals and present at international conferences.
  • Mentor junior researchers and contribute to intellectual property development.
  • Stay current with emerging quantum technologies and industry standards.

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field (or equivalent experience).
  • Minimum 5 years of hands-on experience with quantum programming languages (Q#, Qiskit, Cirq).
  • Proven expertise in quantum algorithm design and complexity theory.
  • Strong background in quantum mechanics and linear algebra.
  • Experience with quantum hardware platforms (IBM Quantum, Rigetti, etc.).
  • Demonstrated ability to publish peer-reviewed research in quantum computing.
  • Excellent problem-solving skills and ability to work in cross-functional teams.
  • Passion for quantum technology's transformative potential.

Required Skills

Quantum Computing Quantum Algorithms Qiskit Q# Cryptography Machine Learning Fault Tolerance Research Methodology

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