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Quantum Computing Research Scientist

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Quantum Computing Research Scientist to develop next-generation algorithms and protocols that will redefine computational capabilities. Our state-of-the-art facility in San Francisco offers unparalleled resources and collaborative environment where your breakthroughs will shape the future of artificial intelligence, cryptography, and complex system modeling. If you're passionate about solving humanity's most complex challenges through quantum mechanics, this is your opportunity to make history.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and machine learning applications
  • Develop error correction protocols for scalable quantum processors
  • Collaborate with hardware teams to translate theoretical models into practical implementations
  • Lead research initiatives in quantum cryptography and secure communication systems
  • Publish findings in top-tier journals and present at international conferences
  • Mentor junior researchers and foster cross-functional innovation

Qualifications

  • PhD in Physics, Computer Science, or related field with quantum computing specialization
  • 3+ years of hands-on experience with quantum programming languages (Qiskit, Cirq, or Q#)
  • Deep understanding of quantum algorithms and quantum information theory
  • Proven track record of publishing peer-reviewed research in quantum computing
  • Expertise in quantum error correction and fault-tolerant architectures
  • Strong analytical skills with ability to model complex quantum systems
  • Excellent communication skills for technical and non-technical audiences

Required Skills

Quantum Computing Quantum Algorithms Quantum Error Correction Qiskit Cirq Cryptography Machine Learning PhD in Physics/Computer Science

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