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Information Technology 🏢 Full Time ⭐️ Verified

Quantum Computing Research Scientist

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
21 Mei 2026
Deadline
21 Mei 2027

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer quantum computing solutions for 2026 and beyond. Our multidisciplinary team is building the next generation of computational infrastructure to solve humanity's most complex challenges. We offer unparalleled resources, cutting-edge research facilities, and a culture that values intellectual curiosity and collaborative innovation. This role represents a rare opportunity to shape the future of technology while working alongside Nobel laureates and industry disruptors.

Responsibilities

  • Design and implement quantum algorithms for practical applications in cryptography, materials science, and AI optimization
  • Lead breakthrough research in quantum error correction and fault-tolerant systems
  • Collaborate with hardware engineers to bridge theoretical models with scalable quantum processors
  • Publish findings in top-tier journals and present at international quantum computing conferences
  • Mentor junior researchers and drive cross-functional innovation initiatives
  • Develop patentable intellectual property positioning Nexus Labs as a 2026 quantum leader

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field with 3+ years of research experience
  • Proven expertise in quantum algorithm development (Shor's, Grover's, VQE)
  • Proficiency with quantum programming frameworks (Qiskit, Cirq, Q#)
  • Strong background in linear algebra, complex analysis, and information theory
  • Demonstrated ability to translate theoretical concepts into experimental implementations
  • Publications in Nature/Science or equivalent quantum computing journals
  • Experience with quantum hardware platforms (IBM Quantum, Rigetti, IonQ)

Required Skills

Quantum Computing Quantum Algorithms Quantum Error Correction Qiskit Cirq Q# Cryptography Materials Science AI Optimization Fault-Tolerant Systems

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