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Quantum Computing Research Scientist

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

Job Description

Join Nexus Quantum Labs at the forefront of the 2026 technological revolution. We're pioneering quantum computing solutions that will redefine global industries. As a Quantum Computing Research Scientist, you'll architect next-gen algorithms, collaborate with Nobel laureates, and translate theoretical breakthroughs into real-world applications. Our state-of-the-art lab in San Francisco offers unparalleled resources and a culture where innovation thrives. If you're driven to solve humanity's most complex problems and shape the future of computation, this is your moment.

Responsibilities

  • Design and implement novel quantum algorithms for optimization, cryptography, and machine learning
  • Lead research initiatives in quantum error correction and fault-tolerant systems
  • Collaborate with hardware teams to optimize quantum processor performance
  • Publish breakthrough research in top-tier journals and conferences
  • Secure patents and intellectual property for quantum innovations
  • Mentor junior researchers and drive cross-functional quantum projects
  • Stay ahead of emerging quantum threats and develop defensive protocols

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field (or equivalent experience)
  • 5+ years in quantum algorithm development or quantum computing research
  • Proficiency with quantum programming languages (Qiskit, Cirq, Q#)
  • Strong publication record in quantum computing or theoretical physics
  • Expertise in quantum error correction and fault-tolerant architectures
  • Experience with high-performance computing and parallel processing
  • Demonstrated ability to translate complex theory into practical applications
  • Passion for ethical quantum technology development

Required Skills

Quantum Computing Quantum Algorithms Qiskit Cirq Quantum Error Correction Theoretical Physics Machine Learning Cryptography

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