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Quantum Computing Research Scientist

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Join Nexus Quantum Labs at the forefront of technological revolution. We're pioneering quantum computing solutions that will redefine industries by 2026. As a Research Scientist, you'll collaborate with Nobel laureates and industry disruptors to develop scalable quantum algorithms, optimize qubit stability, and translate theoretical breakthroughs into commercial applications. Our state-of-the-art facility in San Francisco offers unparalleled resources including 128-qubit processors and cryogenic research labs. This role includes competitive equity, comprehensive benefits, and the opportunity to shape humanity's technological future.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation problems
  • Develop error-correction protocols for fault-tolerant quantum systems
  • Lead cross-functional teams in prototyping quantum hardware-software interfaces
  • Publish research in top-tier journals and present at international conferences
  • Collaborate with product teams to commercialize quantum solutions by 2026
  • Secure research grants and partnerships with government agencies
  • Mentor junior researchers in quantum physics and computational theory

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 3+ years experience with quantum programming (Q#, Qiskit, or Cirq)
  • Published research in quantum error correction or topological computing
  • Expertise in linear algebra, complex analysis, and statistical mechanics
  • Strong background in machine learning for quantum systems
  • Experience with cryogenic engineering or superconducting qubits
  • Proven track record of securing research funding ($500k+)
  • Ability to work in a highly collaborative, fast-paced environment

Required Skills

Quantum Computing Quantum Algorithms Error Correction Qiskit Cirq Q# Machine Learning Cryogenic Engineering Superconducting Qubits Linear Algebra Statistical Mechanics

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