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Quantum Computing Researcher

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

Job Description

Join Nexus Labs at the forefront of technological innovation as we pioneer the next wave of quantum computing breakthroughs. We're seeking visionary Quantum Computing Researchers to develop scalable quantum algorithms and error-correction protocols that will redefine computational boundaries by 2026. Collaborate with world-class physicists and engineers in our state-of-the-art Austin facility, where you'll contribute to projects with potential applications in cryptography, materials science, and AI optimization.

Our interdisciplinary team operates in an agile environment with cutting-edge equipment and substantial R&D funding. We offer competitive equity packages, flexible work arrangements, and opportunities to publish breakthrough research in leading scientific journals.

Responsibilities

  • Design and implement novel quantum algorithms for practical commercial applications
  • Develop error-mitigation techniques to achieve fault-tolerant quantum systems
  • Collaborate with hardware teams to optimize quantum circuit performance
  • Lead research initiatives in quantum machine learning applications
  • Publish findings in peer-reviewed journals and present at international conferences
  • Secure external research grants and partnerships with academic institutions

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field with 3+ years research experience
  • Proficiency in quantum programming languages (Qiskit, Cirq, or Q#)
  • Published research in quantum algorithms or quantum information theory
  • Experience with superconducting or photonic quantum computing platforms
  • Demonstrated ability to secure competitive research funding
  • Strong analytical skills with expertise in linear algebra and probability theory

Required Skills

Quantum Computing Quantum Algorithms Error Correction Qiskit Machine Learning Cryptography Superconducting Systems Research Methodology

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