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Quantum Computing Research Scientist

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

Job Description

Join Nexus Quantum Labs at the forefront of computational revolution! We're seeking a visionary Quantum Computing Research Scientist to architect breakthrough solutions for 2026's most critical challenges. As a pioneer in quantum-resistant cryptography and algorithm optimization, you'll collaborate with Nobel laureates and industry disruptors to redefine technological boundaries.

Our state-of-the-art facility in San Francisco offers unparalleled resources, including 128-qubit processors and exclusive partnerships with MIT and CERN. We provide competitive equity packages, flexible work arrangements, and opportunities to publish in Nature and Science journals.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation problems
  • Develop quantum-resistant cryptographic protocols for next-gen security infrastructure
  • Lead cross-functional R&D teams in prototyping quantum-classical hybrid systems
  • Publish peer-reviewed research and present findings at IEEE Quantum Week
  • Collaborate with hardware teams to mitigate decoherence and error correction challenges
  • Secure $2M+ in annual research grants from NSF and DARPA
  • Mentor PhD candidates in quantum information science

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science (postdoc preferred)
  • 5+ years of hands-on experience with Qiskit, Cirq, or quantum circuit design
  • Published research in quantum algorithms or error correction (arXiv/IEEE)
  • Expertise in quantum machine learning and variational quantum eigensolvers
  • Proficiency in Python, C++, and high-performance computing frameworks
  • Deep understanding of quantum mechanics and linear algebra principles
  • Track record of securing federal research funding

Required Skills

quantum computing cryptography Qiskit Cirq Python C++ machine learning quantum algorithms error correction high-performance computing

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