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Quantum Computing Research Scientist

Nexus Future Labs
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join Nexus Future Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking visionary Quantum Computing Research Scientists to develop next-generation algorithms and hardware that will redefine computational boundaries. Our interdisciplinary team collaborates with Fortune 500 partners to solve previously unsolvable challenges in cryptography, material science, and AI optimization. Enjoy state-of-the-art facilities, flexible work arrangements, and equity participation in groundbreaking innovations.

Responsibilities

  • Design and implement novel quantum algorithms for practical commercial applications
  • Lead research initiatives in quantum error correction and fault-tolerant systems
  • Collaborate with hardware teams to optimize quantum processor architectures
  • Develop quantum machine learning models for predictive analytics and optimization
  • Publish breakthrough research in peer-reviewed journals and industry conferences
  • Mentor junior researchers and drive cross-functional innovation sprints
  • Secure patents and intellectual property for proprietary quantum methodologies

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field (or equivalent experience)
  • 3+ years of hands-on quantum algorithm development experience
  • Proficiency in quantum programming languages (Qiskit, Cirq, Q#)
  • Strong background in linear algebra, quantum mechanics, and complexity theory
  • Publication record in quantum computing or high-performance computing
  • Demonstrated experience with superconducting or ion-trap quantum systems
  • Ability to translate complex technical concepts for non-technical stakeholders
  • Entrepreneurial mindset with passion for ethical tech deployment

Required Skills

Quantum Computing Quantum Algorithms Qiskit Cirq Quantum Machine Learning Superconducting Systems Quantum Error Correction Cryptography Material Science High-Performance Computing

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