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Quantum Computing Research Scientist

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
5 Juni 2026
Deadline
5 Jun 2027

Job Description

Join Nexus Labs at the forefront of quantum revolution. We're pioneering next-gen computational paradigms that will redefine 2026's technological landscape. As a Quantum Computing Research Scientist, you'll architect breakthrough algorithms and collaborate with Nobel laureates to solve humanity's most complex challenges. Our state-of-the-art facility offers unparalleled resources for quantum experimentation and AI-driven research. If you thrive at the intersection of theoretical physics and practical application, this is your moment to shape tomorrow's innovations today.

Responsibilities

  • Design and implement quantum algorithms for optimization and simulation problems
  • Lead experimental validation of quantum supremacy protocols in cryogenic environments
  • Develop error correction models for fault-tolerant quantum systems
  • Collaborate with AI teams to hybridize quantum-classical computing frameworks
  • Publish peer-reviewed research in Nature/Science journals and present at IEEE conferences
  • Mentor junior researchers on quantum information theory principles
  • Secure patents for novel quantum hardware-software interfaces

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field (or equivalent research experience)
  • 3+ years of hands-on quantum circuit design using Qiskit/Cirq frameworks
  • Expertise in quantum error correction codes (surface/colour codes)
  • Publication record in top-tier quantum computing journals
  • Proficiency in Python, C++, and low-level quantum assembly languages
  • Deep understanding of quantum decoherence mitigation strategies
  • Experience with quantum hardware platforms (IBM Q, Rigetti, or D-Wave)
  • Strong analytical skills for interpreting quantum measurement data

Required Skills

Quantum Computing Algorithm Design Cryogenic Systems Error Correction Qiskit Cirq Quantum Hardware Machine Learning

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