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Quantum Computing Research Scientist

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

Job Description

Shape the future of technology at Nexus Labs, where innovation meets quantum reality. We're seeking visionary Quantum Computing Research Scientists to develop groundbreaking solutions that will define 2026 and beyond. Join our elite team in San Francisco to pioneer next-gen algorithms, optimize quantum systems, and solve humanity's most complex challenges.

As a cornerstone of our R&D division, you'll collaborate with Nobel laureates and industry disruptors in state-of-the-art labs. Our cutting-edge environment offers unparalleled resources, including access to quantum annealers and superconducting qubits. We offer competitive equity packages, flexible hybrid work, and continuous learning opportunities through our Quantum Academy.

Responsibilities

  • Design and implement quantum algorithms for optimization, cryptography, and machine learning applications
  • Develop error correction techniques to enhance qubit stability and computational fidelity
  • Collaborate with hardware engineers to optimize quantum system architectures
  • Lead cross-functional research initiatives targeting breakthroughs in quantum supremacy
  • Publish findings in top-tier journals and present at international quantum computing conferences
  • Mentor junior researchers and contribute to patent development

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field with 3+ years industry experience
  • Expertise in quantum programming languages (Q#, Quil, or Cirq)
  • Published research in quantum algorithms or quantum information theory
  • Proficiency with Python/C++ and high-performance computing frameworks
  • Demonstrated experience with quantum simulators and cloud quantum platforms
  • Strong background in linear algebra and complex probability theory
  • Track record of translating theoretical concepts into practical applications

Required Skills

Quantum Computing Machine Learning Cryptography Q# Cirq Python High-Performance Computing Quantum Algorithms Superconducting Qubits

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