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Quantum Computing Research Scientist

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer the next era of computational science. We seek a visionary Quantum Computing Research Scientist to architect breakthrough solutions that will redefine industries by 2026. Collaborate with Nobel laureates and industry disruptors in our state-of-the-art facility in San Francisco's Tech Hub. Your work will directly shape the quantum algorithms powering tomorrow's AI, cryptography, and molecular modeling systems.

We offer competitive equity packages, unlimited R&D budgets, and flexible remote options for top-tier talent. As a key member of our Future Technologies Division, you'll influence quantum hardware-software co-design and publish in Nature/Science journals.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and machine learning applications
  • Lead cross-functional teams in developing error-corrected quantum processors
  • Develop hybrid quantum-classical frameworks for real-world problem solving
  • Secure $5M+ in government/private research grants annually
  • Publish 2+ peer-reviewed papers quarterly in top-tier journals
  • Mentor PhD candidates in quantum information science
  • Collaborate with Intel/IBM on quantum hardware integration

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field (2020-2026 graduates encouraged)
  • 3+ years experience with Qiskit/Cirq frameworks and quantum circuit optimization
  • Published research in quantum error correction or topological computing
  • Proficiency in Python/C++ with low-level hardware programming skills
  • Demonstrated grant-writing success for quantum computing initiatives
  • Experience with superconducting/photonic quantum systems
  • Strong background in linear algebra and quantum information theory

Required Skills

Quantum Computing Qiskit Cirq Machine Learning Cryptography Algorithm Design Low-Level Programming Research Methodology

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