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Quantum Computing Researcher 2026

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

Job Description

Join Nexus Labs at the forefront of quantum computing innovation as we pioneer breakthroughs for the 2026 technological landscape. We seek a visionary Quantum Computing Researcher to develop next-gen algorithms and systems that will redefine computing paradigms. This role offers unparalleled resources to explore uncharted quantum territories while collaborating with Nobel laureates and industry disruptors.

Our state-of-the-art facility in San Francisco provides access to quantum processors cooled to near absolute zero and collaborative workspaces where ideas become reality. We offer competitive compensation, flexible work arrangements, and opportunities to publish groundbreaking research in top-tier journals.

Responsibilities

  • Design and implement novel quantum algorithms for optimization problems
  • Lead experimental validation of quantum supremacy protocols
  • Collaborate with hardware teams to develop error correction frameworks
  • Publish peer-reviewed research in quantum information science
  • Mentor junior researchers and foster cross-functional innovation
  • Develop quantum machine learning applications for real-world problems
  • Secure external funding through NSF and DARPA grants

Qualifications

  • PhD in Physics, Computer Science, or Quantum Information with 3+ years research experience
  • Expertise in quantum circuit design and quantum simulation frameworks
  • Proven track record of publications in Nature/Science/Physical Review journals
  • Proficiency in quantum programming languages (Qiskit, Cirq, Quil)
  • Deep understanding of quantum error correction and fault tolerance
  • Experience with high-performance computing clusters
  • Strong analytical and problem-solving abilities
  • Excellent communication and presentation skills

Required Skills

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

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