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Quantum Computing Researcher

Nexus Quantum Solutions
Austin
Estimated Salary
USD 140.000 – USD 190.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Join the quantum revolution at Nexus Quantum Solutions! We're pioneering the next frontier of computational technology, and we're seeking a visionary Quantum Computing Researcher to help shape the future. As a key member of our Austin-based innovation hub, you'll work on groundbreaking quantum algorithms and systems that will redefine industries worldwide. Our state-of-the-art lab offers unparalleled resources for experimentation and collaboration with world-class physicists and engineers. If you're passionate about solving humanity's most complex challenges through quantum mechanics, this is your moment to make history.

Responsibilities

  • Design and implement novel quantum algorithms for optimization, cryptography, and machine learning
  • Conduct cutting-edge research in quantum error correction and fault-tolerant systems
  • Develop quantum simulation frameworks to validate theoretical models
  • Collaborate with hardware teams to translate research into scalable quantum processors
  • Publish breakthrough findings in leading scientific journals and conferences
  • Mentor junior researchers and drive cross-functional innovation initiatives

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field with 3+ years research experience
  • Expertise in quantum programming languages (Qiskit, Cirq, Q#) and quantum circuit design
  • Deep understanding of quantum algorithms, complexity theory, and information theory
  • Proven track record of peer-reviewed publications in quantum computing
  • Proficiency in Python, C++, and high-performance computing environments
  • Strong analytical skills with ability to translate theoretical concepts into practical solutions
  • Experience with quantum hardware platforms (IBM Quantum, Rigetti, IonQ)

Required Skills

Quantum Computing Research Physics Algorithms C++ Python Qiskit Quantum Mechanics Machine Learning

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