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Information Technology 🏢 Full Time ⭐️ Verified

Quantum Computing Research Scientist

Nexus Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 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 a visionary Quantum Computing Research Scientist to architect next-gen algorithms and push the boundaries of computational science. Our Austin-based innovation hub offers cutting-edge resources and a collaborative environment where your breakthroughs will shape industries from cryptography to AI.

At Nexus Labs, we believe quantum computing will redefine our digital landscape by 2026. You'll work alongside Nobel laureates and industry pioneers in a culture that values intellectual curiosity and bold experimentation. We offer competitive compensation, comprehensive benefits, and the opportunity to leave a lasting legacy in quantum innovation.

Responsibilities

  • Design and implement novel quantum algorithms for complex computational challenges
  • Lead research in quantum error correction and fault-tolerant systems
  • Collaborate with hardware teams to optimize quantum processor performance
  • Develop quantum machine learning frameworks for predictive modeling
  • Publish groundbreaking research in peer-reviewed journals and conferences
  • Secure government and private research grants for quantum initiatives

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
  • 3+ years of hands-on quantum algorithm development experience
  • Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
  • Publication record in quantum computing or related fields
  • Deep understanding of quantum mechanics principles and information theory
  • Experience with superconducting or photonic quantum systems
  • Strong mathematical background in linear algebra and probability theory

Required Skills

Quantum Computing Qiskit Q# Machine Learning Cryptography Algorithm Design Research Fault Tolerance

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