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Quantum Computing Research Scientist

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

Job Description

Join Nexus Quantum Labs at the forefront of computational revolution! We're seeking visionary Quantum Computing Research Scientists to architect next-gen algorithms and solve humanity's most complex challenges. Our multidisciplinary team operates at the intersection of physics, computer science, and artificial intelligence, pioneering breakthroughs in cryptography, materials science, and optimization. Enjoy state-of-the-art facilities, collaborative innovation spaces, and unparalleled resources to transform theoretical possibilities into tangible realities.

Responsibilities

  • Design and implement quantum algorithms for practical applications in machine learning and optimization
  • Develop error-correction protocols to enhance quantum system stability
  • Lead cross-functional research projects with materials science and AI specialists
  • Publish breakthrough findings in premier scientific journals and conferences
  • Collaborate with hardware engineers to optimize quantum circuit implementations
  • Secure research grants and patents for proprietary quantum methodologies
  • Mentor junior researchers and foster a culture of radical innovation

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field
  • 3+ years hands-on experience with quantum programming frameworks (Qiskit, Cirq)
  • Expertise in quantum error correction and fault-tolerant architectures
  • Publication record in quantum information science or quantum machine learning
  • Strong mathematical foundations in linear algebra, probability, and complexity theory
  • Proficiency in high-performance computing environments and parallel programming
  • Track record of translating theoretical concepts into experimental prototypes

Required Skills

Quantum Computing Qiskit Cirq Quantum Error Correction Quantum Machine Learning Cryptography High-Performance Computing Python Linear Algebra Fault-Tolerant Systems

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