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Quantum Computing Researcher 2026

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

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer quantum computing solutions for 2026 and beyond. As a Quantum Computing Researcher, you'll design next-gen algorithms and architectures that will redefine computational boundaries. Our state-of-the-art facility in San Francisco offers unparalleled resources to transform theoretical concepts into breakthrough innovations.

This role requires deep expertise in quantum mechanics and programming, coupled with a passion for solving humanity's most complex challenges. You'll collaborate with Nobel laureates and industry disruptors in an environment where curiosity fuels progress.

Responsibilities

  • Develop novel quantum algorithms for optimization and simulation problems
  • Design scalable quantum hardware architectures with error correction protocols
  • Lead cross-functional research teams in experimental quantum computing projects
  • Publish findings in peer-reviewed journals and present at international conferences
  • Collaborate with industry partners to commercialize quantum solutions
  • Secure and manage research grants from government and private institutions
  • Mentor junior researchers and contribute to quantum education initiatives

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 3+ years hands-on experience with quantum programming languages (Q#, Qiskit)
  • Published research in quantum computing or quantum information theory
  • Expertise in quantum error correction and fault-tolerant systems
  • Strong background in linear algebra, probability, and statistical mechanics
  • Experience with high-performance computing and parallel processing
  • Proven track record of securing research funding
  • Excellent communication and leadership abilities

Required Skills

Quantum Computing Qiskit Q# Quantum Algorithms Error Correction Machine Learning High-Performance Computing Research Methodology

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