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Quantum Computing Research Scientist

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Join Nexus Quantum Labs at the forefront of technological revolution as we pioneer the next era of computing. We seek a visionary Quantum Computing Research Scientist to develop breakthrough algorithms and applications that will redefine industries. Our state-of-the-art facility in San Francisco offers unparalleled resources and collaborative opportunities with Nobel laureates and industry pioneers. If you're passionate about solving humanity's most complex challenges through quantum mechanics, this is your chance to shape the future.

Responsibilities

  • Design and implement novel quantum algorithms for optimization, cryptography, and machine learning
  • Develop error correction protocols to advance quantum decoherence mitigation
  • Collaborate with hardware teams to integrate quantum processors with classical systems
  • Lead research initiatives in quantum simulation for drug discovery and materials science
  • Publish findings in top-tier journals and present at international conferences
  • Secure patents for proprietary quantum computing methodologies
  • Mentor junior researchers and foster a culture of scientific excellence

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field with 3+ years postdoctoral experience
  • Proven expertise in quantum programming languages (Qiskit, Cirq, Q#)
  • Strong publication record in quantum computing or quantum information theory
  • Experience with NISQ-era hardware constraints and hybrid quantum-classical workflows
  • Deep understanding of quantum error correction and fault-tolerant architectures
  • Ability to secure competitive research grants and industry partnerships
  • Exceptional problem-solving skills and cross-disciplinary collaboration experience

Required Skills

Quantum Computing Quantum Algorithms Error Correction Qiskit Cirq Q# NISQ Quantum Cryptography Machine Learning Scientific Research Patents

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