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Quantum Computing Research Scientist

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juni 2026
Deadline
2 Jun 2027

Job Description

Join Nexus Quantum Labs at the forefront of technological revolution as we pioneer quantum computing applications for 2026 and beyond. We're seeking visionary researchers to develop scalable quantum algorithms and hybrid quantum-classical systems that will redefine industries from pharmaceuticals to cryptography. Our state-of-the-art facility in San Francisco offers unparalleled resources for breakthrough research, including access to 256-qubit processors and dedicated quantum annealing clusters. Collaborate with Nobel laureates and industry pioneers to solve humanity's most complex challenges.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and machine learning applications
  • Develop error mitigation techniques for near-term quantum processors
  • Create hybrid quantum-classical frameworks for real-world problem solving
  • Lead cross-functional research projects with hardware and software teams
  • Publish findings in top-tier journals and present at international conferences
  • Secure federal and industry funding for quantum research initiatives
  • Mentor junior researchers and contribute to patent development

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field
  • 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq, Q#)
  • Publication record in quantum information science or quantum algorithms
  • Expertise in quantum error correction and fault-tolerant architectures
  • Strong background in linear algebra, probability theory, and computational complexity
  • Experience with high-performance computing and parallel programming
  • Demonstrated ability to translate theoretical concepts into practical implementations

Required Skills

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

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