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Quantum Computing Research Scientist

Nexus Quantum Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
16 Mei 2026
Deadline
16 Mei 2027

Job Description

Join Nexus Quantum Labs at the forefront of 2026's technological revolution! We're seeking a pioneering Quantum Computing Research Scientist to decode the universe's next paradigm shift. In this high-impact role, you'll architect quantum algorithms that redefine computational boundaries while collaborating with Nobel laureates and industry disruptors. Our Austin R&D hub offers unparalleled resources including 512-qubit processors and a $50M quantum simulation infrastructure. If you thrive at the intersection of theoretical physics and real-world innovation, this is your chance to shape humanity's digital future.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and machine learning applications
  • Lead breakthrough research in quantum error correction and fault-tolerant architectures
  • Develop hybrid quantum-classical frameworks for enterprise-scale problem solving
  • Author peer-reviewed publications and secure NSF/DARPA research grants
  • Mentor cross-functional teams in quantum principles and implementation
  • Collaborate with hardware teams to co-design next-gen quantum processors
  • Translate theoretical models into practical industry applications

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
  • 3+ years of hands-on quantum algorithm development experience
  • Proficiency in quantum programming languages (Qiskit, Cirq, Quil)
  • Publication record in top-tier quantum computing conferences
  • Deep understanding of quantum decoherence mitigation techniques
  • Experience with high-performance computing environments
  • Strong background in linear algebra and quantum information theory
  • Track record of translating research into commercial applications

Required Skills

Quantum Computing Algorithm Design Qiskit Cirq Quantum Error Correction Machine Learning High-Performance Computing Theoretical Physics

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