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Quantum Computing Research Scientist

Nexus Labs
Austin
Estimated Salary
USD 150.000 – USD 220.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing breakthroughs that will redefine 2026 and beyond. Our Austin-based research hub combines cutting-edge infrastructure with cross-disciplinary collaboration to solve humanity's most complex challenges. As a key member of our Quantum Research Division, you'll develop algorithms, optimize qubit stability, and contribute to next-generation quantum applications in cryptography, materials science, and AI.

We offer competitive equity packages, flexible hybrid work arrangements, and access to our state-of-the-art Quantum Simulation Lab. Our team includes Nobel laureates and Turing Award recipients committed to democratizing quantum innovation.

Responsibilities

  • Design and implement quantum algorithms for practical 2026-era applications
  • Optimize qubit coherence times and error correction protocols
  • Lead collaborative research projects with hardware and software teams
  • Publish peer-reviewed papers and present findings at global conferences
  • Develop scalable quantum machine learning frameworks
  • Secure patents for novel quantum computing methodologies
  • Mentor junior researchers in quantum theory and experimental physics

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 3+ years of hands-on quantum computing research experience
  • Proficiency in quantum programming languages (Q#, Quil, Cirq)
  • Published work in top-tier quantum computing journals
  • Deep understanding of quantum error correction techniques
  • Experience with superconducting or ion-trap quantum systems
  • Strong background in linear algebra and quantum information theory
  • Ability to translate complex concepts for interdisciplinary teams

Required Skills

Quantum Computing Quantum Algorithms Q# Error Correction Superconducting Qubits Quantum Machine Learning Linear Algebra Cryptography

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