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Research and Development 🏢 Full Time ⭐️ Verified

Quantum Computing Research Scientist

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

Job Description

Join Nexus 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 breakthrough algorithms, optimize qubit stability, and solve complex computational challenges that will redefine industries. Collaborate with Nobel laureates and industry leaders in our state-of-the-art research facility. Enjoy unparalleled resources, flexible work arrangements, and equity compensation as you shape the future of computation.

Responsibilities

  • Design and implement novel quantum algorithms for optimization, cryptography, and machine learning applications
  • Lead experimental research in qubit coherence, error correction, and quantum gate optimization
  • Develop hybrid quantum-classical frameworks for real-world problem solving
  • Publish groundbreaking research in top-tier journals and conferences
  • Mentor junior researchers and collaborate with cross-functional engineering teams
  • Secure external funding through NSF grants and industry partnerships
  • Contribute to open-source quantum computing initiatives

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field (post-doc experience preferred)
  • Expertise in quantum circuit design and quantum programming languages (Qiskit, Cirq)
  • Published research in quantum computing or quantum information theory
  • Proficiency in high-performance computing and parallel processing
  • Strong background in linear algebra, probability theory, and computational complexity
  • Experience with cryogenic systems and quantum hardware integration
  • Excellent problem-solving skills and ability to work in interdisciplinary teams

Required Skills

Quantum Computing Qiskit Cirq Quantum Algorithms Cryogenics Machine Learning High-Performance Computing

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