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Quantum Computing Research Lead

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

Job Description

Join Nexus Innovations at the forefront of technological evolution as we pioneer quantum computing solutions for 2026. We seek a visionary Quantum Computing Research Lead to architect next-gen systems that will redefine computational boundaries. This role offers unparalleled opportunities to shape the future of AI, cryptography, and complex modeling in a collaborative, cutting-edge environment.

Our team operates at the intersection of theoretical physics and practical application, developing breakthrough solutions for Fortune 500 clients and government agencies. You'll lead a multidisciplinary team of physicists, engineers, and data scientists while contributing to patent-pending quantum algorithms.

Responsibilities

  • Design and implement quantum algorithms for optimization and machine learning applications
  • Lead research initiatives in quantum error correction and fault-tolerant architectures
  • Collaborate with hardware teams to define quantum processor specifications
  • Develop secure quantum communication protocols for 2026 infrastructure
  • Mentor cross-functional teams on quantum computing principles
  • Publish research in top-tier journals and present at international conferences
  • Secure government and industry grants for quantum computing research

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 5+ years of experience in quantum algorithm development
  • Expertise in quantum programming languages (Q#, Quil, Cirq)
  • Proven track record of publishing high-impact research papers
  • Experience with quantum hardware (IBM Quantum, Rigetti, D-Wave)
  • Strong background in complex mathematical modeling
  • Ability to translate theoretical concepts into practical solutions

Required Skills

Quantum Computing Quantum Algorithms Research Leadership Cryptography Machine Learning Q# Scientific Publishing Complex Systems Modeling

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