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Quantum Computing Research Scientist

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

Job Description

Join Nexus Labs at the forefront of quantum computing innovation. We're pioneering breakthroughs in quantum algorithms and error correction to solve humanity's most complex challenges. As a Quantum Computing Research Scientist, you'll collaborate with world-class physicists and engineers to develop next-generation quantum systems that will redefine technological possibilities.

Our Austin-based research center offers state-of-the-art facilities and unparalleled resources. We're seeking visionaries who thrive at the intersection of theoretical physics and practical application. If you're passionate about shaping the future of computation, this is your opportunity to make history.

Responsibilities

  • Design and implement quantum algorithms for optimization and simulation problems
  • Develop novel quantum error correction techniques for fault-tolerant systems
  • Lead experimental validation of quantum protocols on superconducting qubit platforms
  • Collaborate with cross-functional teams to translate quantum research into commercial applications
  • Publish findings in peer-reviewed journals and present at international conferences
  • Secure research funding through government grants and industry partnerships

Qualifications

  • PhD in Physics, Computer Science, or related field with quantum computing focus
  • 3+ years of hands-on experience with quantum programming languages (Qiskit, Cirq)
  • Published research in quantum information science or quantum algorithms
  • Deep understanding of quantum mechanics, quantum information theory, and complexity theory
  • Experience with superconducting qubit systems or trapped-ion quantum processors
  • Strong analytical skills and ability to communicate complex concepts clearly

Required Skills

Quantum Computing Quantum Algorithms Error Correction Superconducting Qubits Qiskit Cirq Quantum Mechanics Research Methodology

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