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Information Technology 🏢 Full Time ⭐️ Verified

Quantum Computing Research Scientist

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

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer the next wave of quantum computing breakthroughs. We seek a visionary Quantum Computing Research Scientist to architect solutions that will redefine 2026's digital landscape. Collaborate with Nobel laureates and industry disruptors in our state-of-the-art facility where theory meets tangible innovation.

Our team is developing quantum-resistant algorithms and hybrid quantum-classical systems that will secure tomorrow's digital infrastructure. This role offers unparalleled opportunities to publish groundbreaking research and shape the future of computational science.

Responsibilities

  • Design and implement novel quantum algorithms for cryptography optimization
  • Lead cross-functional teams to develop hybrid quantum-classical machine learning frameworks
  • Conduct experimental validation of quantum supremacy claims on fault-tolerant systems
  • Author peer-reviewed publications and patent quantum encryption methodologies
  • Develop error-correction protocols for scalable quantum processors
  • Collaborate with hardware teams to optimize quantum gate architectures

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science (or equivalent research experience)
  • 3+ years of hands-on experience with quantum programming languages (Q#, Qiskit)
  • Published research in quantum algorithms or quantum information theory
  • Expertise in quantum error correction and fault-tolerant systems
  • Strong background in linear algebra, complex analysis, and computational complexity
  • Experience with high-performance computing environments
  • Proven track record of translating theoretical concepts into practical implementations

Required Skills

Quantum Computing Qiskit Q# Cryptography Machine Learning Fault-Tolerant Systems Linear Algebra High-Performance Computing

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