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Quantum Computing Research Scientist

NexusLabs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
5 Juli 2026
Deadline
5 Jul 2027

Job Description

Join NexusLabs at the forefront of technological innovation 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 hardware prototypes that will redefine computational boundaries. Collaborate with world-class physicists, engineers, and AI specialists in our state-of-the-art San Francisco laboratory. This role offers unparalleled opportunities to publish groundbreaking research, secure patents, and shape the future of quantum technology.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and machine learning applications
  • Develop error-correction protocols for scalable quantum processors
  • Lead experimental validation of quantum computing hardware prototypes
  • Collaborate with cross-functional teams to integrate quantum solutions into existing AI frameworks
  • Publish peer-reviewed research and present findings at international conferences
  • Secure intellectual property through patent development
  • Mentor junior researchers and contribute to technical roadmap planning

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field
  • 3+ years of hands-on experience with quantum programming (Qiskit, Cirq, or similar)
  • Deep understanding of quantum error correction and fault-tolerant architectures
  • Publication record in top-tier quantum computing or physics journals
  • Proficiency in high-performance computing environments and parallel processing
  • Experience with quantum hardware integration (superconducting, ion trap, photonic)
  • Strong analytical skills with ability to translate complex concepts into practical solutions
  • Proven ability to lead independent research projects

Required Skills

Quantum Computing Quantum Algorithms Error Correction Qiskit Cirq Machine Learning High-Performance Computing Superconducting Circuits Ion Traps Photonic Systems

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