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Information Technology 🏢 Full Time ⭐️ Verified

Quantum Computing Researcher

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

Job Description

Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing breakthroughs for 2026 and beyond. We're seeking a brilliant Quantum Computing Researcher to develop next-gen algorithms and hardware solutions that will redefine computational boundaries. In this role, you'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art Austin facility, leveraging cutting-edge quantum processors to solve previously impossible problems in cryptography, AI optimization, and materials science. This is your opportunity to shape the technological landscape of the future.

Responsibilities

  • Design and implement novel quantum algorithms for real-world applications
  • Collaborate on quantum hardware optimization projects with engineering teams
  • Lead research initiatives in quantum error correction and fault tolerance
  • Publish findings in peer-reviewed journals and present at international conferences
  • Mentor junior researchers and foster an innovative lab culture
  • Develop quantum software solutions for enterprise clients
  • Stay current with emerging quantum technologies and methodologies

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#, Qiskit, Cirq)
  • Strong background in linear algebra and complex systems theory
  • Published research in quantum information science
  • Experience with quantum simulation platforms (IBM Quantum, Google Quantum AI)
  • Demonstrated ability to translate theoretical concepts into practical applications
  • Excellent communication skills for technical and non-technical audiences

Required Skills

Quantum Computing Q# Qiskit Cirq Quantum Algorithms Cryptography AI Optimization Materials Science Linear Algebra Fault Tolerance

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