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Information Technology 🏢 Full Time ⭐️ Verified

Quantum Computing Researcher

Nexus Labs
Austin
Estimated Salary
USD 160.000 – USD 220.000
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 Researcher to develop breakthrough algorithms and hardware systems that will redefine computational boundaries. You'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art Austin facility, where cutting-edge innovation meets practical application. This role offers unparalleled opportunities to shape the next generation of technology while contributing to projects with global impact.

Responsibilities

  • Design and implement quantum algorithms for optimization and machine learning applications
  • Develop error-correction protocols for fault-tolerant quantum systems
  • Collaborate with hardware teams to prototype quantum processors
  • Lead research initiatives in quantum cryptography and secure communications
  • Publish findings in peer-reviewed journals and present at international conferences
  • Secure patents for novel quantum methodologies and systems
  • Mentor junior researchers in quantum physics and computational theory

Qualifications

  • PhD in Quantum Computing, Physics, or related field (or equivalent experience)
  • 3+ years of hands-on quantum algorithm development experience
  • Proficiency with quantum programming languages (Q#, Qiskit, Cirq)
  • Publication record in top-tier quantum computing journals
  • Expertise in quantum error correction and fault tolerance
  • Strong background in linear algebra and quantum information theory
  • Experience with quantum hardware integration and testing
  • Track record of securing research grants or patents

Required Skills

Quantum Computing Quantum Algorithms Q# Qiskit Cirq Quantum Error Correction Fault Tolerance Linear Algebra Quantum Information Theory Machine Learning Cryptography

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