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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 quantum innovation as we pioneer breakthroughs that will redefine computing by 2026. We're seeking a visionary Quantum Computing Research Scientist to develop next-generation algorithms and hardware solutions. You'll collaborate with Nobel laureates and work in state-of-the-art facilities to solve humanity's most complex challenges. This role offers unparalleled opportunities to shape the quantum revolution while enjoying competitive compensation, comprehensive benefits, and a culture that celebrates bold thinking.

Responsibilities

  • Design and implement novel quantum algorithms for cryptography optimization and machine learning acceleration
  • Lead experimental validation of quantum hardware prototypes in cryogenic environments
  • Develop error correction protocols for fault-tolerant quantum computing systems
  • Collaborate with hardware teams to co-design quantum processors with 100+ qubit capabilities
  • Publish research in top-tier journals and present findings at international conferences
  • Secure external funding through NSF and DoE grant applications
  • Mentor junior researchers in quantum theory and experimental techniques

Qualifications

  • PhD in Physics, Computer Science, or related field with 3+ years quantum research experience
  • Proven expertise in quantum circuit design and quantum information theory
  • Hands-on experience with quantum programming languages (Q#, Qiskit, Cirq)
  • Strong publication record in quantum computing or condensed matter physics
  • Familiarity with cryogenic systems and superconducting qubit technologies
  • Demonstrated ability to translate theoretical models into experimental implementations
  • Exceptional problem-solving skills for complex quantum mechanical systems

Required Skills

Quantum Computing Cryogenics Superconducting Qubits Quantum Algorithms Error Correction Qiskit Q# Machine Learning

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