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Quantum Computing Research Scientist

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

Job Description

Join Nexus Future 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 scalable quantum algorithms and hardware solutions. Our multidisciplinary team collaborates with NASA, Stanford, and IBM to solve humanity's most complex challenges in cryptography, materials science, and AI optimization. Enjoy cutting-edge lab facilities, flexible hybrid work, and industry-leading equity packages while contributing to projects that will shape the next technological revolution.

Responsibilities

  • Design and implement quantum algorithms for practical applications in machine learning and optimization
  • Lead experiments with superconducting qubits and photonic quantum systems
  • Collaborate with hardware teams to overcome quantum decoherence challenges
  • Publish peer-reviewed research in top-tier journals and present at international conferences
  • Develop quantum error correction protocols for fault-tolerant computing
  • Secure government grants and industry partnerships for quantum research initiatives

Qualifications

  • PhD in Physics, Computer Science, or related field with quantum computing specialization
  • 3+ years hands-on experience with quantum programming frameworks (Qiskit, Cirq, Q#)
  • Proven track record of publishing quantum algorithm research
  • Expertise in quantum error correction and fault-tolerant architectures
  • Strong background in linear algebra, quantum mechanics, and complexity theory
  • Experience with cryogenic quantum hardware or photonic systems
  • Ability to secure research funding through grant writing and proposal development

Required Skills

quantum computing quantum algorithms superconducting qubits quantum error correction Qiskit Cirq fault-tolerant quantum computing quantum cryptography machine learning cryogenic engineering

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