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Quantum Computing Research Scientist

Nexus Quantum Labs
Austin
Estimated Salary
USD 150.000 – USD 220.000
New
Live Update
18 Mei 2026
Deadline
18 Mei 2027

Job Description

Join Nexus Quantum Labs at the forefront of computational revolution. As a Quantum Computing Research Scientist, you'll pioneer breakthroughs in quantum algorithms, error correction, and hardware optimization. Our Austin headquarters offers state-of-the-art facilities and collaborative environment where your work will directly shape the 2026 technological landscape.

We're seeking visionaries passionate about solving humanity's most complex challenges through quantum supremacy. Your research will impact fields from cryptography to drug discovery, working alongside Nobel laureates and industry pioneers. Enjoy competitive benefits, flexible schedules, and opportunities to present at global quantum symposiums.

Responsibilities

  • Design and implement novel quantum algorithms for practical applications
  • Develop quantum error correction protocols to improve qubit stability
  • Collaborate with hardware teams to optimize quantum processor architectures
  • Lead research projects in quantum machine learning and simulation
  • Publish findings in peer-reviewed journals and industry whitepapers
  • Mentor junior researchers and contribute to patent development
  • Participate in quantum standards committees and industry consortia

Qualifications

  • PhD in Physics, Computer Science, or related quantitative field
  • 3+ years of quantum computing research experience
  • Proficiency in quantum programming frameworks (Qiskit, Cirq, or Q#)
  • Strong background in linear algebra and quantum mechanics
  • Publication record in quantum computing or adjacent fields
  • Experience with superconducting or trapped-ion quantum systems
  • Ability to translate complex quantum concepts for diverse audiences
  • Proven track record of cross-functional collaboration

Required Skills

Quantum Computing Quantum Algorithms Error Correction Qiskit Cirq Q# Superconducting Qubits Trapped-Ion Systems Machine Learning Cryptography Linear Algebra

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