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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 evolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Quantum Computing Research Scientist to develop groundbreaking algorithms and protocols that will redefine computational boundaries. In this pivotal role, you'll collaborate with Nobel laureates and industry pioneers to solve humanity's most complex challenges.

Our state-of-the-art Quantum Neural Network lab offers unprecedented resources for experimentation and innovation. You'll shape the future of quantum machine learning, cryptography, and materials science while mentoring the next generation of quantum pioneers. This is your chance to leave an indelible mark on the technological landscape.

Responsibilities

  • Design and implement quantum algorithms for optimization problems in logistics and finance
  • Develop error-correction protocols for fault-tolerant quantum systems
  • Lead cross-functional teams in quantum-classical hybrid computing projects
  • Author breakthrough research papers for Nature Physics and Science journals
  • Architect quantum neural networks for drug discovery simulations
  • Collaborate with hardware teams to optimize quantum gate operations
  • Present findings at international quantum computing conferences

Qualifications

  • PhD in Quantum Computing, Physics, or Computational Mathematics
  • 5+ years of hands-on quantum algorithm development experience
  • Published research in top-tier quantum computing journals
  • Expertise in quantum programming languages (Q#, Qiskit, Cirq)
  • Proficiency in quantum circuit optimization techniques
  • Deep understanding of quantum decoherence mitigation strategies
  • Experience with quantum simulation frameworks (Quil, QASM)

Required Skills

Quantum Computing Algorithm Design Qiskit Q# Quantum Error Correction Quantum Machine Learning Superconducting Qubits Cryptography

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