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Quantum Algorithm Engineer

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

Job Description

Shape the future of computing with Nexus Quantum Labs! We're pioneering the next frontier of technology and seek a visionary Quantum Algorithm Engineer to design breakthrough solutions for 2026 and beyond. Join our elite team at the intersection of quantum physics and cutting-edge software development, where your work will directly impact industries from pharmaceuticals to cryptography. Enjoy competitive compensation, flexible work arrangements, and the opportunity to collaborate with Nobel Prize-winning researchers in our state-of-the-art facility.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation challenges
  • Collaborate with quantum hardware engineers to optimize algorithm performance on real quantum processors
  • Lead research initiatives in quantum machine learning and cryptography applications
  • Develop error mitigation strategies for practical quantum computing deployment
  • Translate complex quantum concepts into deployable software solutions
  • Mentor junior researchers and publish findings in leading scientific journals
  • Stay current with emerging quantum computing frameworks and hardware platforms

Qualifications

  • PhD in Quantum Physics, Computer Science, or Mathematics with 3+ years of quantum algorithm experience
  • Expertise in quantum programming languages (Q#, Qiskit, Cirq) and simulation frameworks
  • Strong background in linear algebra, probability theory, and quantum information theory
  • Proven track record of developing quantum algorithms for practical applications
  • Experience with quantum hardware platforms (IBM Quantum, Rigetti, IonQ)
  • Publication record in top-tier quantum computing conferences/journals
  • Exceptional problem-solving skills and ability to work in cross-functional teams

Required Skills

Quantum Computing Quantum Algorithms Python C++ Machine Learning Mathematics Physics

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