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Quantum Computing Research Scientist

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Join Nexus Innovations at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a Quantum Research Scientist to develop next-gen algorithms and hardware architectures that will redefine computational boundaries. You'll collaborate with Nobel laureates and industry pioneers in our state-of-the-art lab, working on projects that could revolutionize cryptography, drug discovery, and artificial intelligence.

This role offers unparalleled opportunities to shape the future of technology while enjoying competitive compensation, flexible work arrangements, and comprehensive benefits including equity in our rapidly growing unicorn startup.

Responsibilities

  • Design and implement novel quantum algorithms for practical applications
  • Lead experimental research in quantum error correction and fault tolerance
  • Collaborate with hardware teams to optimize quantum processor architectures
  • Publish breakthrough research in top-tier scientific journals and conferences
  • Secure and manage multi-million dollar research grants
  • Mentor junior researchers and develop quantum computing curricula
  • Partner with industry leaders to identify commercialization opportunities

Qualifications

  • PhD in Physics, Computer Science, or related field with quantum focus
  • 3+ years of hands-on quantum algorithm development experience
  • Publication record in Nature/Science or equivalent tier journals
  • Expertise in quantum circuit design and simulation frameworks
  • Strong mathematical foundations in linear algebra and probability
  • Experience with quantum hardware platforms (IBM, Rigetti, IonQ)
  • Proven ability to secure competitive research funding

Required Skills

Quantum Computing Quantum Algorithms Quantum Error Correction Machine Learning Cryptography C++ Python Qiskit Q# Research Methodology

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