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Quantum Computing Research Scientist

Nexus Labs
San Francisco
Estimated Salary
USD 150.000 – USD 250.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We seek an exceptional Quantum Computing Research Scientist to develop next-generation algorithms and architectures that will redefine computational boundaries. You'll collaborate with world-class physicists and engineers in our state-of-the-art facility, leveraging cutting-edge hardware to solve previously impossible problems in cryptography, AI optimization, and molecular modeling. This is your opportunity to shape the technological landscape of the coming decade.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation problems
  • Develop error correction protocols to enhance qubit stability in multi-qubit systems
  • Collaborate with hardware engineers to translate theoretical models into practical implementations
  • Lead research initiatives in quantum machine learning and neural network acceleration
  • Publish breakthrough findings in top-tier scientific journals and industry conferences
  • Mentor junior researchers and contribute to patent development portfolios
  • Secure external funding through NSF, DARPA, and private sector grants

Qualifications

  • PhD in Physics, Computer Science, or related field with quantum computing specialization
  • 3+ years of hands-on experience with quantum programming languages (Q#, Qiskit)
  • Published research in quantum error correction or quantum algorithms
  • Proficiency in high-performance computing environments and parallel programming
  • Demonstrated ability to secure competitive research funding
  • Strong background in linear algebra, probability theory, and information theory
  • Experience with superconducting or photonic quantum hardware systems

Required Skills

Quantum Computing Qiskit Q# Error Correction Quantum Algorithms Machine Learning Superconducting Systems High-Performance Computing

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