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Information Technology 🏢 Full Time ⭐️ Verified

Quantum Computing Researcher

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

Job Description

Join Nexus Labs at the forefront of technological innovation as we prepare for the quantum revolution of 2026. We're seeking a visionary Quantum Computing Researcher to pioneer breakthroughs that will redefine computational boundaries. In this pivotal role, you'll develop quantum algorithms, optimize qubit stability, and collaborate with Nobel laureates to solve previously unsolvable problems. Our state-of-the-art facility in San Francisco offers unparalleled resources, including 512-qubit processors and dedicated cryogenic labs. If you're driven to shape the future of computation and thrive in environments where theoretical physics meets practical application, this is your calling.

Responsibilities

  • Design and implement quantum algorithms for optimization and cryptography applications
  • Lead qubit stability research to overcome quantum decoherence challenges
  • Collaborate with cross-functional teams to develop quantum-classical hybrid systems
  • Publish findings in peer-reviewed journals and present at international conferences
  • Secure $1M+ in annual research grants through compelling project proposals
  • Mentor PhD candidates in quantum information science
  • Contribute to open-source quantum computing frameworks

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 3+ years of hands-on quantum computing research experience
  • Published work in Nature/Science or equivalent top-tier journals
  • Expertise in quantum error correction and fault-tolerant architectures
  • Proficiency with quantum programming languages (Qiskit, Cirq, etc.)
  • Experience with superconducting or trapped-ion quantum systems
  • Track record of securing competitive research funding

Required Skills

Quantum Computing Qiskit Cirq Quantum Error Correction Superconducting Qubits Cryptography Machine Learning Cryogenics

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