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Quantum Computing Research Scientist

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

Job Description

Join Nexus Quantum Labs at the forefront of computational revolution! We're pioneering breakthroughs in quantum algorithms for 2026 and beyond. As a Quantum Computing Research Scientist, you'll develop next-gen solutions that will redefine industries. Our state-of-the-art lab in San Francisco offers unparalleled resources to explore quantum supremacy, error correction, and scalable architectures. Be part of the team that's building the quantum internet and solving problems previously deemed impossible.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and machine learning applications
  • Lead experimental validation of quantum hardware prototypes at cryogenic temperatures
  • Collaborate with engineers to develop quantum error correction codes for fault-tolerant systems
  • Publish groundbreaking research in top-tier journals and present at international conferences
  • Mentor junior researchers and drive cross-functional innovation projects
  • Secure federal and private research funding through compelling proposals
  • Stay ahead of emerging quantum threats and security paradigms

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field (MS with exceptional experience considered)
  • 3+ years of hands-on experience with quantum programming languages (Qiskit, Cirq, or Q#)
  • Expertise in quantum error correction and fault-tolerant architectures
  • Proven track record of peer-reviewed publications in quantum computing
  • Deep understanding of quantum information theory and entanglement protocols
  • Experience with superconducting qubit manipulation and control systems
  • Strong background in high-performance computing and parallel processing

Required Skills

Quantum Computing Qiskit Quantum Algorithms Cryogenics Machine Learning Superconducting Qubits Error Correction High-Performance Computing

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