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Quantum Computing Research Scientist

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer quantum computing solutions for 2026 and beyond. We seek a visionary Research Scientist to develop groundbreaking algorithms and protocols that will redefine computational boundaries. In this role, you'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art San Francisco facility, shaping the future of artificial intelligence, cryptography, and materials science.

We offer unparalleled resources, including access to quantum hardware, flexible research methodologies, and a culture that celebrates intellectual curiosity. Your work will directly impact global industries while positioning you at the vanguard of scientific innovation.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation problems
  • Develop error-correction protocols for scalable quantum systems
  • Lead cross-functional research teams in quantum machine learning applications
  • Publish breakthrough findings in peer-reviewed journals and industry conferences
  • Collaborate with hardware teams to optimize quantum processor architectures
  • Secure patents for proprietary quantum methodologies
  • Advise on quantum security frameworks for next-gen infrastructure

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 3+ years of hands-on quantum algorithm development experience
  • Expertise in quantum programming languages (Q#, Qiskit, Cirq)
  • Proven track record of peer-reviewed publications in quantum computing
  • Strong background in linear algebra and complex systems theory
  • Experience with quantum hardware platforms (IBM Quantum, Rigetti, IonQ)
  • Exceptional problem-solving skills for high-dimensional computational challenges

Required Skills

Quantum Computing Algorithm Design Qiskit Q# Error Correction Machine Learning Cryptography Linear Algebra Peer Review

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