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Quantum Computing Research Scientist

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join Nexus Quantum Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Quantum Computing Research Scientist to develop breakthrough algorithms and systems that will redefine industries. Our state-of-the-art facility in San Francisco offers unparalleled resources and collaborative environment where your innovations can transform theoretical concepts into real-world applications.

As part of our elite R&D team, you'll work on cutting-edge quantum hardware, error correction techniques, and quantum machine learning frameworks. We offer competitive compensation, flexible work arrangements, and opportunities to publish groundbreaking research in top-tier journals.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation problems
  • Develop quantum error correction protocols for fault-tolerant computing
  • Collaborate with hardware engineers to prototype quantum systems
  • Lead quantum machine learning initiatives for predictive analytics
  • Publish research in peer-reviewed journals and industry conferences
  • Mentor junior researchers and foster cross-functional innovation
  • Secure research grants and partnerships with academic institutions

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science (MS with 5+ years experience)
  • Expertise in quantum algorithms and quantum circuit design
  • Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
  • Strong background in linear algebra, probability, and statistical mechanics
  • Experience with quantum hardware platforms (IBM Quantum, Rigetti, IonQ)
  • Track record of high-impact publications or patents
  • Excellent problem-solving skills and ability to work in interdisciplinary teams

Required Skills

Quantum Computing Qiskit Q# Quantum Algorithms Machine Learning Physics Error Correction Research

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