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Quantum Computing Research Scientist

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

Job Description

Join Nexus Quantum Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking visionary research scientists to develop next-gen quantum algorithms and hardware prototypes that will redefine computational capabilities. Our Austin-based innovation hub offers cutting-edge labs, collaborative workspaces, and unparalleled resources to accelerate breakthroughs. This role provides the unique opportunity to shape the quantum landscape while working alongside Nobel laureates and industry pioneers. We offer competitive equity packages, flexible hybrid work arrangements, and continuous learning stipends for professional growth.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and machine learning applications
  • Lead experimental validation of quantum hardware prototypes in cryogenic environments
  • Collaborate with cross-functional teams to translate theoretical models into practical solutions
  • Publish peer-reviewed research and present findings at premier quantum conferences
  • Develop patentable intellectual property for next-generation quantum technologies
  • Mentor junior researchers and contribute to lab technical strategy

Qualifications

  • PhD in Physics, Computer Science, or related quantitative field
  • 3+ years of hands-on experience with quantum computing frameworks (Qiskit, Cirq, or Q#)
  • Expertise in quantum error correction and fault-tolerant architectures
  • Strong publication record in top-tier quantum computing journals
  • Proficiency in Python and low-level programming for quantum systems
  • Demonstrated ability to work with cryogenic systems and quantum hardware
  • Experience securing government or corporate research grants preferred

Required Skills

Quantum Computing Algorithm Design Cryogenic Systems Qiskit Python Research Methodology Fault Tolerance

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