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Quantum Computing Research Scientist

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Shape the future of technology as a Quantum Computing Research Scientist at Nexus Quantum Labs. We're pioneering the next wave of computational breakthroughs and seek visionary minds to accelerate quantum innovation. Join our interdisciplinary team in a state-of-the-art facility where you'll collaborate with Nobel laureates and industry pioneers to solve humanity's most complex challenges.

Why Nexus Quantum Labs? We offer competitive equity packages, flexible hybrid work arrangements, and unparalleled access to quantum hardware. Our culture values intellectual curiosity and bold experimentation—where your ideas could redefine what's possible in 2026 and beyond.

Responsibilities

  • Design and execute quantum algorithms for optimization and simulation challenges
  • Lead cutting-edge research in quantum error correction and fault tolerance
  • Develop hybrid quantum-classical machine learning frameworks
  • Collaborate with hardware teams to prototype quantum processor architectures
  • Publish breakthrough research in top-tier journals and conferences
  • Secure and manage R&D grants from government and industry partners
  • Mentor junior researchers in quantum computational theory

Qualifications

  • PhD in Physics, Computer Science, or related field (or equivalent experience)
  • 3+ years hands-on experience with quantum programming frameworks (Qiskit, Cirq, etc.)
  • Expertise in quantum information theory and many-body physics
  • Proven track record of peer-reviewed quantum computing publications
  • Strong background in linear algebra and probability theory
  • Familiarity with superconducting or photonic quantum systems
  • Exceptional problem-solving skills for complex computational challenges

Required Skills

quantum computing machine learning quantum algorithms Qiskit Cirq superconducting qubits quantum error correction research methodology

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