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Quantum Computing Research Scientist

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

Job Description

Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing applications for 2026 and beyond. We're seeking a visionary Research Scientist to develop next-generation quantum algorithms that will redefine industries. Our state-of-the-art facility in San Francisco offers unparalleled resources for groundbreaking research in quantum supremacy, error correction, and hybrid quantum-classical systems. Collaborate with Nobel laureates and industry pioneers while contributing to projects that will shape humanity's technological future.

Responsibilities

  • Design and implement novel quantum algorithms for optimization, cryptography, and machine learning
  • Develop error mitigation protocols to advance quantum computational stability
  • Lead experimental validation of quantum systems on superconducting and photonic platforms
  • Collaborate with cross-functional teams to translate theoretical models into practical applications
  • Publish breakthrough research in top-tier journals and conferences
  • Mentor junior researchers and contribute to patent development
  • Secure external funding through government and industry partnerships

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 3+ years of hands-on experience with quantum programming languages (Qiskit, Cirq, Q#)
  • Publication record in quantum computing or theoretical physics
  • Expertise in quantum error correction and fault-tolerant architectures
  • Proficiency in classical computing (Python, C++, TensorFlow)
  • Demonstrated ability to design complex experimental protocols
  • Strong background in linear algebra and probability theory
  • Experience with quantum hardware platforms (IBM Quantum, Rigetti, IonQ)

Required Skills

Quantum Computing Qiskit Cirq Q# Quantum Algorithms Error Correction Superconducting Qubits Photonic Computing Machine Learning Python TensorFlow Linear Algebra

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