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Quantum Computing Researcher

Nexus Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join Nexus Labs at the forefront of quantum innovation as we shape the computational landscape of 2026. We seek a visionary Quantum Computing Researcher to develop next-generation algorithms and solve previously impossible problems. Our Austin-based team operates at the intersection of theoretical physics and practical application, pushing the boundaries of what's computable.

This role offers unparalleled access to cutting-edge quantum hardware, a collaborative research environment, and the opportunity to publish groundbreaking findings in top-tier journals. You'll work alongside Nobel laureates and pioneer breakthroughs in cryptography, optimization, and materials science.

Responsibilities

  • Design and implement quantum algorithms for complex optimization problems
  • Collaborate with hardware engineers to bridge theoretical models with physical qubit systems
  • Lead research initiatives in quantum error correction and fault tolerance
  • Develop novel quantum machine learning frameworks for predictive analytics
  • Publish peer-reviewed research and present findings at international conferences
  • Mentor junior researchers and contribute to open-source quantum toolkits
  • Secure research funding through NSF and DARPA grant applications

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 3+ years of hands-on quantum algorithm development experience
  • Proficiency with quantum programming languages (Q#, Qiskit, Cirq)
  • Demonstrated expertise in quantum error correction techniques
  • Publication record in quantum computing or condensed matter physics
  • Experience with superconducting or trapped-ion quantum systems
  • Strong background in linear algebra and complex analysis
  • Ability to translate theoretical concepts into practical implementations

Required Skills

Quantum Computing Algorithm Development Qiskit Q# Quantum Error Correction Machine Learning Superconducting Systems Research Methodology

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