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Quantum Computing Research Scientist

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

Job Description

Join Nexus Labs at the forefront of 2026's technological revolution. We're pioneering quantum computing solutions that will redefine industries worldwide. As a Quantum Computing Research Scientist, you'll architect next-gen algorithms and collaborate with Nobel laureates to solve humanity's most complex challenges. Our state-of-the-art facility in San Francisco offers unparalleled resources and a culture where innovation thrives. We provide competitive equity packages, flexible work arrangements, and continuous learning opportunities through our Quantum Academy. If you're passionate about shaping the future of computation, this is your moment to make history.

Responsibilities

  • Design and implement quantum algorithms for cryptography optimization
  • Lead cross-functional teams in developing quantum machine learning models
  • Conduct cutting-edge research in quantum error correction techniques
  • Publish findings in top-tier journals and present at international conferences
  • Collaborate with hardware engineers to optimize quantum processor performance
  • Mentor junior researchers and contribute to patent development
  • Secure $1M+ in annual research grants through compelling proposals

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 3+ years of quantum algorithm development experience
  • Proficiency in quantum programming frameworks (Qiskit, Cirq, or Q#)
  • Publication record in Nature/Science or equivalent journals
  • Deep understanding of quantum decoherence mitigation strategies
  • Strong background in linear algebra and complex analysis
  • Experience with high-performance computing environments
  • Proven ability to secure federal or corporate research funding

Required Skills

Quantum Computing Cryptography Machine Learning Algorithm Design Quantum Error Correction Research Methodology High-Performance Computing Scientific Communication

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