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Quantum Algorithm Engineer

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

Job Description

Shape the future of computing at Nexus Quantum Technologies, where we're pioneering quantum solutions for 2026's most complex challenges. We seek visionary Quantum Algorithm Engineers to develop breakthrough quantum algorithms that will redefine industries—from cryptography to AI optimization. Join our elite team in San Francisco, working alongside Nobel laureates and industry disruptors in a state-of-the-art lab equipped with next-generation quantum processors. This is your opportunity to contribute to technologies that will power the next decade of human innovation.

Responsibilities

  • Design and implement novel quantum algorithms for practical applications in machine learning and cryptography
  • Collaborate with physicists to optimize quantum circuit performance on proprietary hardware
  • Develop error-correction protocols for fault-tolerant quantum computing systems
  • Create simulation frameworks to validate quantum algorithms before hardware deployment
  • Lead cross-functional R&D projects integrating quantum-classical hybrid systems
  • Publish findings in leading quantum computing journals and industry whitepapers
  • Mentor junior researchers in quantum algorithm development best practices

Qualifications

  • PhD in Quantum Computing, Theoretical Physics, or Computer Science (or equivalent experience)
  • 3+ years of hands-on quantum algorithm development experience
  • Expertise in quantum programming languages (Qiskit, Cirq, or Q#)
  • Deep understanding of quantum error correction and fault-tolerance techniques
  • Strong background in linear algebra, probability theory, and computational complexity
  • Proven track record of publishing peer-reviewed quantum computing research
  • Experience with quantum hardware integration (IBM Quantum, Rigetti, or IonQ)

Required Skills

Quantum Algorithms Qiskit Cirq Quantum Error Correction Machine Learning Cryptography Linear Algebra Fault-Tolerant Computing

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