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Quantum Computing Researcher

Nexus Labs
Austin
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer breakthroughs in quantum computing for 2026 and beyond. Our Austin-based research center is seeking visionary Quantum Computing Researchers to develop next-gen algorithms and hardware solutions that will redefine computational paradigms. You'll collaborate with Nobel laureates and industry pioneers in a state-of-the-art facility equipped with cutting-edge quantum processors. We offer competitive equity packages, flexible research schedules, and opportunities to publish in top-tier journals while contributing to projects that will shape humanity's technological future.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and machine learning applications
  • Develop error-correction protocols for scalable quantum systems
  • Collaborate with hardware teams to co-design quantum processors
  • Lead research initiatives targeting quantum supremacy milestones
  • Publish findings in peer-reviewed journals and present at international conferences
  • Mentor junior researchers and contribute to patent development
  • Secure external funding through NSF and DARPA grants

Qualifications

  • PhD in Physics, Computer Science, or related field with quantum computing specialization
  • 3+ years of hands-on experience with quantum programming languages (Q#, Qiskit)
  • Published research in quantum information theory or quantum algorithms
  • Expertise in quantum error correction and fault-tolerant architectures
  • Strong background in linear algebra and quantum mechanics
  • Experience with superconducting or trapped-ion quantum systems
  • Proven track record of securing research grants
  • Exceptional problem-solving and abstract reasoning abilities

Required Skills

Quantum Computing Quantum Algorithms Qiskit Q# Error Correction Superconducting Qubits Quantum Machine Learning Linear Algebra Research Grant Writing

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