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Quantum Computing Research Scientist

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

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Quantum Computing Research Scientist to develop breakthrough algorithms and architectures that will redefine computational capabilities. This role offers unparalleled opportunities to shape the future of quantum systems while collaborating with Nobel laureates and industry pioneers in our state-of-the-art San Francisco research facility.

You'll lead experimental quantum computing projects, design novel error-correction protocols, and publish groundbreaking research in top-tier scientific journals. Our interdisciplinary environment combines theoretical physics, advanced mathematics, and machine learning to solve previously impossible challenges in cryptography, materials science, and artificial intelligence.

Responsibilities

  • Design and implement quantum algorithms for optimization and simulation problems
  • Develop quantum error correction codes and fault-tolerant architectures
  • Lead experimental quantum computing projects using superconducting and photonic systems
  • Collaborate with AI teams to integrate quantum machine learning models
  • Publish peer-reviewed research in quantum computing and theoretical physics
  • Secure external funding through NSF and DARPA grant proposals
  • Mentor junior researchers and cross-functional innovation teams

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field (or equivalent experience)
  • 3+ years hands-on experience with quantum computing platforms (Qiskit, Cirq, or similar)
  • Published research in quantum algorithms or quantum error correction
  • Proficiency in quantum circuit design and quantum simulation frameworks
  • Deep understanding of quantum mechanics principles and linear algebra
  • Experience with high-performance computing and parallel processing
  • Strong background in machine learning and computational complexity theory
  • Track record of securing research grants or industry partnerships

Required Skills

Quantum Computing Quantum Algorithms Quantum Error Correction Superconducting Qubits Photonic Computing Machine Learning High-Performance Computing Theoretical Physics Research Methodology

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