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Quantum Computing Research Scientist

Nexus Quantum Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join Nexus Quantum Labs at the forefront of technological revolution as we pioneer quantum computing solutions that will redefine 2026 and beyond. We're seeking a visionary Quantum Computing Research Scientist to develop next-generation quantum algorithms and hardware integration protocols. Our Austin-based team operates at the intersection of theoretical physics and practical application, collaborating with global partners to solve previously unsolvable computational challenges. This role offers unparalleled opportunities to publish breakthrough research, patent innovations, and shape the quantum landscape.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation problems
  • Develop error correction protocols for scalable quantum systems
  • Collaborate with hardware teams to optimize quantum circuit performance
  • Lead cross-functional research initiatives with academic and industry partners
  • Publish findings in peer-reviewed journals and present at international conferences
  • Secure and manage research grants from government and private entities
  • Mentor junior researchers and drive innovation in quantum machine learning

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field
  • 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq, etc.)
  • Published research in quantum information theory or quantum algorithms
  • Expertise in quantum error correction and fault-tolerant systems
  • Strong background in linear algebra, probability, and computational complexity
  • Experience with superconducting or trapped-ion quantum hardware
  • Proven track record of securing research funding
  • Excellent communication skills for technical and non-technical audiences

Required Skills

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

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