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Quantum Computing Research Scientist

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

Job Description

Join Nexus Quantum Labs at the forefront of the 2026 technological revolution. We're pioneering quantum computing solutions that will redefine global industries. As a Quantum Computing Research Scientist, you'll develop cutting-edge algorithms, optimize quantum systems, and collaborate with world-class teams to solve humanity's most complex challenges. Our state-of-the-art facility in San Francisco offers unparalleled resources for breakthrough research.

We provide competitive compensation, flexible work arrangements, and comprehensive benefits including equity, health insurance, and professional development stipends. Shape the future of technology with us.

Responsibilities

  • Design and implement novel quantum algorithms for optimization, cryptography, and simulation
  • Optimize quantum circuit performance and error correction protocols
  • Collaborate with hardware teams to translate theoretical models into practical applications
  • Publish peer-reviewed research and present findings at international conferences
  • Lead cross-functional projects integrating quantum solutions with classical systems
  • Mentor junior researchers and contribute to patent development

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field
  • 3+ years of hands-on experience with quantum programming languages (Qiskit, Cirq, Q#)
  • Expertise in quantum error correction and fault-tolerant architectures
  • Strong publication record in top-tier quantum computing journals
  • Proficiency in high-performance computing environments and parallel processing
  • Deep understanding of quantum mechanics and linear algebra
  • Ability to translate complex quantum concepts into actionable business solutions

Required Skills

Quantum Computing Quantum Algorithms Qiskit Cirq Q# Quantum Error Correction Fault-Tolerant Systems High-Performance Computing Machine Learning Cryptography

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