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Quantum Computing Researcher

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

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer quantum computing breakthroughs that will redefine 2026 and beyond. We're seeking a visionary Quantum Computing Researcher to develop next-generation algorithms and hardware solutions. This role offers unparalleled opportunities to shape the future of computational science in a collaborative, cutting-edge environment.

As part of our elite R&D team, you'll tackle complex challenges in quantum error correction, quantum supremacy, and practical quantum applications. We provide competitive compensation, flexible work arrangements, and access to state-of-the-art quantum hardware facilities. Your work will directly impact industries from pharmaceuticals to cryptography.

Responsibilities

  • Design and implement quantum algorithms for optimization and simulation problems
  • Develop novel quantum error correction techniques to enhance qubit stability
  • Collaborate with hardware engineers to optimize quantum system performance
  • Lead research initiatives in quantum machine learning applications
  • Publish findings in top-tier scientific journals and conferences
  • Secure external funding through government grants and private partnerships
  • Mentor junior researchers and foster cross-functional innovation

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 3+ years of hands-on quantum computing research experience
  • Proficiency in quantum programming languages (Qiskit, Cirq, or Q#)
  • Strong background in linear algebra and quantum information theory
  • Demonstrated track record of peer-reviewed publications
  • Experience with quantum hardware platforms (IBM Quantum, Rigetti, or IonQ)
  • Excellent problem-solving skills and creative thinking ability

Required Skills

Quantum Computing Quantum Algorithms Error Correction Qiskit Cirq Machine Learning Linear Algebra Research Scientific Publishing

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