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Quantum Computing Research Scientist

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

Job Description

Join Nexus 2026 Labs at the forefront of technological revolution! We're pioneering quantum computing solutions that will redefine industries by 2026. As a Quantum Computing Research Scientist, you'll collaborate with Nobel laureates and industry disruptors to develop next-gen algorithms, optimize quantum error correction protocols, and build scalable quantum systems that solve previously impossible problems.

Why Nexus 2026 Labs? We offer unparalleled R&D resources, flexible hybrid work arrangements, and equity participation in our breakthrough innovations. Our state-of-the-art San Francisco campus features quantum annealing labs and AI-assisted research environments.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation problems
  • Develop quantum error correction techniques to enhance qubit stability
  • Collaborate with hardware teams to interface quantum processors with classical systems
  • Publish groundbreaking research in top-tier journals and conferences
  • Lead cross-functional projects with AI and cybersecurity divisions
  • Secure external funding through NSF and DARPA grant proposals
  • Mentor junior researchers and foster innovation culture

Qualifications

  • PhD in Physics, Computer Science, or related field (or equivalent experience)
  • 3+ years of hands-on quantum algorithm development experience
  • Proficiency with quantum programming frameworks (Qiskit, Cirq, or Q#)
  • Published research in quantum computing or quantum information theory
  • Strong background in linear algebra, probability, and computational complexity
  • Experience with high-performance computing clusters
  • Track record of securing research funding or patents

Required Skills

quantum computing quantum algorithms quantum error correction Qiskit Cirq quantum programming quantum simulation high-performance computing machine learning physics computer science research methodology grant writing

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