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Quantum Computing Research Scientist

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

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer quantum computing solutions for 2026 and beyond. We seek a visionary Research Scientist to develop next-gen quantum algorithms that will revolutionize cryptography, material science, and artificial intelligence. Our state-of-the-art facility offers unparalleled resources and collaborative teams dedicated to solving humanity's most complex challenges.

This role provides the unique opportunity to shape the future of computational science while working with Nobel laureates and industry pioneers. We offer competitive equity packages, flexible work arrangements, and dedicated R&D funding for breakthrough projects.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation problems
  • Lead experimental validation of quantum circuits on superconducting and photonic platforms
  • Collaborate with AI teams to develop quantum-machine learning hybrid models
  • Publish findings in top-tier journals and present at international conferences
  • Secure research grants and patents for proprietary quantum methodologies
  • Mentor junior researchers in quantum computing fundamentals

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
  • 3+ years hands-on experience with quantum programming frameworks (Qiskit, Cirq, or Q#)
  • Published research in quantum algorithms or quantum error correction
  • Expertise in quantum hardware architectures (superconducting qubits, trapped ions, or photonic)
  • Strong background in linear algebra, probability theory, and complexity theory
  • Demonstrated ability to secure NSF or DARPA research funding

Required Skills

Quantum Computing Qiskit Cirq Quantum Algorithms Superconducting Qubits Quantum Error Correction Machine Learning Linear Algebra Research Methodology

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