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Quantum Computing Research Scientist

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

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking visionary Quantum Computing Research Scientists to develop next-generation algorithms and systems that will redefine computational boundaries. Collaborate with world-class physicists and engineers in our state-of-the-art Austin facility, where you'll contribute to breakthroughs in cryptography, material science, and artificial intelligence. This role offers unparalleled opportunities to shape the future of technology while enjoying competitive compensation, flexible work arrangements, and continuous learning opportunities.

Responsibilities

  • Design and implement novel quantum algorithms for complex computational challenges
  • Develop error-correction protocols to enhance quantum system stability
  • Collaborate on quantum hardware integration and optimization projects
  • Lead research initiatives in quantum machine learning applications
  • Publish findings in peer-reviewed journals and present at international conferences
  • Mentor junior researchers and contribute to patent development
  • Stay current with emerging quantum technologies and industry standards

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field
  • 3+ years of hands-on quantum algorithm development experience
  • Expertise in quantum programming languages (Q#, Qiskit, Cirq)
  • Strong background in linear algebra, probability theory, and quantum mechanics
  • Proven track record of published quantum computing research
  • Experience with quantum hardware platforms (IBM Quantum, Rigetti, etc.)
  • Ability to work in cross-functional teams with diverse technical backgrounds
  • Strong problem-solving skills and innovative thinking

Required Skills

Quantum Computing Quantum Algorithms Qiskit Q# Error Correction Quantum Machine Learning Linear Algebra Cryptography Python C++ Research Methodology

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