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Quantum Computing Research Scientist

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

Job Description

Join Nexus Quantum Labs at the forefront of technological evolution as we pioneer quantum computing breakthroughs that will redefine 2026 and beyond. We're seeking visionary Quantum Computing Research Scientists to develop next-gen algorithms, optimize quantum error correction, and architect scalable quantum systems. Our state-of-the-art facility in San Francisco offers unparalleled resources to push the boundaries of computational physics and machine learning. Collaborate with Nobel laureates and industry disruptors in an environment where your innovations will shape humanity's digital future.

Responsibilities

  • Design and implement quantum algorithms for optimization problems and machine learning applications
  • Develop quantum error correction protocols for fault-tolerant computing systems
  • Lead cross-functional teams in prototyping quantum hardware interfaces
  • Research and publish breakthrough findings in top-tier quantum computing journals
  • Collaborate with AI teams to integrate quantum-classical hybrid computing solutions
  • Secure patents for novel quantum methodologies and architectures
  • Mentor junior researchers and drive quantum literacy initiatives

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 3+ years of hands-on quantum algorithm development experience
  • Proficiency in quantum programming languages (Qiskit, Cirq, Q#)
  • Published research in quantum error correction or topological computing
  • Strong background in linear algebra, complex analysis, and information theory
  • Demonstrated experience with quantum hardware platforms (IBM Quantum, Rigetti)
  • Expertise in high-performance computing and parallel processing
  • Track record of securing research grants or industry partnerships

Required Skills

Quantum Computing Qiskit Cirq Quantum Error Correction Topological Computing High-Performance Computing Machine Learning Linear Algebra Complex Analysis Quantum Hardware

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