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Quantum Computing Research Scientist

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

Job Description

Join Nexus Labs at the forefront of quantum innovation to solve humanity's most complex challenges by 2026. We're seeking visionary research scientists to pioneer breakthroughs in quantum algorithms, error correction, and scalable hardware. Our state-of-the-art facility in San Francisco offers unparalleled resources for experimentation and collaboration. If you're driven to reshape computing paradigms and contribute to technologies that will define the next decade, this is your opportunity to make history.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation problems
  • Lead research in quantum error correction techniques to achieve fault-tolerant systems
  • Collaborate with hardware teams to prototype next-generation quantum processors
  • Publish findings in top-tier journals and present at international conferences
  • Mentor junior researchers and foster cross-functional innovation
  • Secure research funding through government and industry partnerships
  • Translate theoretical breakthroughs into practical applications for 2026 use cases

Qualifications

  • PhD in Physics, Computer Science, or related field with quantum specialization
  • 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq, etc.)
  • Published research in quantum computing or quantum information theory
  • Expertise in quantum error correction and fault-tolerant architectures
  • Strong mathematical background in linear algebra, probability, and complexity theory
  • Proven track record of leading quantum research projects
  • Experience with high-performance computing and parallel processing
  • Ability to communicate complex quantum concepts to diverse stakeholders

Required Skills

Quantum Computing Quantum Algorithms Error Correction Qiskit Cirq Fault-Tolerant Systems Theoretical Physics Machine Learning

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