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Quantum Computing Research Scientist

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 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 Research Scientist to develop next-generation quantum algorithms that will redefine computational boundaries. In this pivotal role, you'll collaborate with Nobel laureates and industry disruptors to solve humanity's most complex challenges.

Our state-of-the-art facility in San Francisco offers unparalleled resources for quantum experimentation, including access to 1000+ qubit systems and cryogenic infrastructure. We provide competitive compensation, equity packages, and flexible work arrangements for exceptional talent.

Responsibilities

  • Design and implement novel quantum algorithms for optimization, cryptography, and machine learning applications
  • Lead experimental validation of quantum supremacy claims through rigorous benchmarking
  • Develop error correction protocols for fault-tolerant quantum computing systems
  • Collaborate with hardware teams to co-design quantum processors and control systems
  • Publish breakthrough research in top-tier journals and conferences
  • Secure $5M+ in government and private research funding
  • Mentor PhD candidates and postdoctoral researchers

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field with 5+ years of research experience
  • Proven track record of publishing in Nature/Science or equivalent tier journals
  • Expertise in quantum circuit design and quantum simulation frameworks
  • Strong programming skills in Python, C++, and quantum-specific languages (Q#)
  • Familiarity with NISQ-era limitations and mitigation strategies
  • Experience with quantum hardware platforms (IBM Q, Rigetti, IonQ)
  • Demonstrated ability to secure research funding and lead multidisciplinary teams

Required Skills

Quantum Computing Quantum Algorithms Cryogenics Machine Learning Cryptography High-Performance Computing Python C++ Q# Research Funding Team Leadership

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