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Quantum Computing Research Scientist

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join Nexus Quantum Labs at the forefront of technological revolution in 2026! We're pioneering quantum computing solutions that will redefine industries. As a Quantum Computing Research Scientist, you'll develop cutting-edge algorithms, collaborate with world-class physicists, and transform theoretical concepts into real-world applications. Our state-of-the-art facility in San Francisco offers unparalleled resources to accelerate your breakthroughs. Shape the future of computation with us.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and machine learning
  • Collaborate with quantum hardware engineers to bridge theory and practical implementation
  • Lead research initiatives in quantum error correction and fault-tolerant systems
  • Publish findings in peer-reviewed journals and present at international conferences
  • Secure research grants and partnerships with leading academic institutions
  • Mentor junior researchers and drive cross-functional innovation projects
  • Develop quantum simulation frameworks for classical-quantum hybrid systems

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field (or equivalent experience)
  • Expertise in quantum algorithms, quantum information theory, and quantum programming (Qiskit, Cirq)
  • Proven track record of published research in quantum computing or quantum information
  • Strong mathematical foundations in linear algebra, probability, and computational complexity
  • Experience with high-performance computing and parallel programming
  • Excellent problem-solving skills and ability to communicate complex concepts
  • Passion for emerging technologies and quantum advantage applications

Required Skills

Quantum Computing Quantum Algorithms Qiskit Cirq Quantum Error Correction Machine Learning High-Performance Computing Python Linear Algebra Research Methodology

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