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Quantum Computing Research Scientist

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

Job Description

Join Nexus Labs at the forefront of technological innovation as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Quantum Computing Research Scientist to develop breakthrough algorithms and systems that will redefine computational boundaries. You'll collaborate with world-class physicists and engineers in our state-of-the-art Austin facility, working on projects that will shape the next decade of technological progress.

Our team operates at the intersection of theoretical physics and practical application, creating quantum solutions for cryptography, optimization, and machine learning challenges. This role offers unparalleled opportunities to publish groundbreaking research and contribute to technologies that will transform industries.

Responsibilities

  • Design and implement quantum algorithms for complex computational problems
  • Develop error-correction techniques to enhance quantum system stability
  • Collaborate with hardware teams to optimize quantum circuit performance
  • Lead research initiatives in quantum machine learning applications
  • Publish findings in peer-reviewed journals and industry conferences
  • Mentor junior researchers and drive innovation in quantum programming frameworks
  • Secure research funding through competitive grant proposals

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field
  • 3+ years of hands-on quantum algorithm development experience
  • Proficiency in quantum programming languages (Qiskit, Cirq, or Q#)
  • Strong background in linear algebra, quantum mechanics, and information theory
  • Demonstrated ability to publish high-impact research papers
  • Experience with quantum simulation tools and cloud quantum platforms
  • Excellent problem-solving skills and innovative mindset

Required Skills

Quantum Computing Qiskit Cirq Quantum Algorithms Error Correction Machine Learning Linear Algebra Research Publication

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