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Information Technology 🏢 Full Time ⭐️ Verified

Quantum Computing Research Scientist

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

Job Description

Shape the future of computational technology with Nexus Labs' groundbreaking 2026 quantum initiative. We're seeking a pioneering Quantum Computing Research Scientist to develop next-gen algorithms and solve previously impossible challenges. Join our elite team at the intersection of physics, computer science, and artificial intelligence in Austin's thriving tech ecosystem. You'll work with cutting-edge hardware while contributing to projects that will redefine industries from pharmaceuticals to climate modeling.

Responsibilities

  • Design and implement quantum algorithms for practical applications in machine learning and cryptography
  • Collaborate with hardware engineers to optimize quantum circuit performance on next-generation processors
  • Lead research initiatives in error correction and quantum decoherence mitigation
  • Publish findings in top-tier journals and present at international conferences
  • Mentor junior researchers and drive cross-functional innovation projects
  • Develop quantum simulation frameworks for classical-quantum hybrid systems
  • Secure federal and industry partnerships for technology commercialization

Qualifications

  • PhD in Physics, Computer Science, or Quantum Information Science
  • 3+ years of hands-on quantum algorithm development experience
  • Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
  • Published research in quantum computing or related fields
  • Strong background in linear algebra, probability theory, and statistical mechanics
  • Experience with superconducting or trapped-ion quantum systems
  • Demonstrated ability to translate theoretical concepts into practical implementations
  • Expertise in high-performance computing and parallel processing

Required Skills

Quantum Computing Q# Qiskit Cryptography Machine Learning Superconducting Systems Algorithm Design Physics Simulation

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