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Quantum Computing Research Scientist

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
18 Mei 2026
Deadline
18 Mei 2027

Job Description

Join Nexus Quantum Labs at the forefront of technological revolution as we pioneer quantum computing solutions that will redefine industries by 2026. We're seeking a visionary Quantum Computing Research Scientist to develop breakthrough algorithms and hardware prototypes that leverage quantum mechanics to solve previously impossible computational challenges. You'll collaborate with Nobel laureates and Silicon Valley innovators in our state-of-the-art facility, where your work could revolutionize cryptography, drug discovery, and AI. This role offers unparalleled resources, competitive equity packages, and the opportunity to shape humanity's technological future.

Responsibilities

  • Design and implement quantum algorithms for optimization and simulation problems
  • Develop error-correction protocols for quantum hardware systems
  • Collaborate with hardware teams to prototype quantum processors
  • Lead research initiatives in quantum machine learning applications
  • Publish findings in peer-reviewed journals and present at international conferences
  • Secure patents for novel quantum computing methodologies
  • Mentor junior researchers and cross-functional engineering teams

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 3+ years of quantum computing research experience
  • Proficiency in quantum programming languages (Qiskit, Cirq, Q#)
  • Expertise in quantum error correction and fault-tolerant systems
  • Published research in top-tier quantum computing journals
  • Experience with superconducting or trapped-ion quantum hardware
  • Strong background in linear algebra and quantum information theory
  • Ability to translate complex quantum concepts into commercial applications

Required Skills

Quantum Computing Quantum Algorithms Quantum Error Correction Qiskit Cirq Q# Quantum Hardware Machine Learning Cryptography Physics Mathematics

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