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Quantum Computing Research Lead

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

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Quantum Computing Research Lead to architect the next generation of computational paradigms. In this pivotal role, you'll lead a multidisciplinary team of physicists, engineers, and data scientists to develop breakthrough quantum algorithms and hardware prototypes. Our state-of-the-art facility in San Francisco offers unparalleled resources for experimentation and collaboration. If you're driven to solve humanity's most complex challenges through quantum innovation, this is your moment to shape the future.

Responsibilities

  • Lead quantum algorithm research and development for optimization, cryptography, and machine learning applications
  • Design and oversee implementation of quantum error correction protocols
  • Collaborate with hardware teams to integrate quantum processors with classical computing systems
  • Secure research grants and publish breakthrough findings in top-tier journals
  • Mentor PhD researchers and foster an environment of scientific excellence
  • Develop strategic roadmaps for quantum computing commercialization by 2026
  • Partner with Fortune 500 companies to solve industry-specific quantum challenges

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 5+ years of hands-on quantum computing research experience
  • Expertise in quantum circuit design and quantum simulation frameworks
  • Proven track record of publishing in Nature/Science/IEEE journals
  • Experience leading cross-functional technical teams
  • Strong background in linear algebra, complex analysis, and quantum mechanics
  • Familiarity with quantum cloud platforms (IBM Quantum, Amazon Braket)

Required Skills

Quantum Computing Quantum Algorithms Quantum Error Correction Machine Learning Cryptography Research Leadership Scientific Publishing IBM Quantum Python C++ Linear Algebra

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