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Quantum Computing Research Scientist

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join Nexus Quantum Labs at the forefront of computational revolution! We're pioneering quantum algorithms that will redefine 2026's technological landscape. As a Quantum Computing Research Scientist, you'll develop novel protocols for quantum supremacy, collaborate with Nobel laureates, and shape the future of AI-driven quantum systems. Our state-of-the-art facility in San Francisco offers unparalleled resources to push beyond theoretical boundaries into real-world applications. This is your chance to contribute to breakthroughs in cryptography, drug discovery, and climate modeling that will impact billions.

Responsibilities

  • Design and implement quantum algorithms for optimization and simulation problems
  • Lead cross-functional teams in translating theoretical models into quantum circuit architectures
  • Publish peer-reviewed research in top-tier journals and present at international conferences
  • Develop error-correction protocols for fault-tolerant quantum systems
  • Collaborate with hardware engineers to optimize quantum gate implementations
  • Secure $5M+ in research grants through compelling technical proposals
  • Mentor PhD candidates and postdoctoral researchers

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field with 5+ years of research experience
  • Proven track record of published work in quantum computing or quantum information theory
  • Expertise in quantum programming languages (Q#, Qiskit, Cirq)
  • Strong background in linear algebra, probability, and computational complexity
  • Experience with quantum hardware platforms (IBM Q, Rigetti, IonQ)
  • Demonstrated ability to secure competitive research funding
  • Excellent communication skills for technical and non-technical audiences

Required Skills

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

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