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Quantum Computing Researcher

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

Job Description

Join Nexus 2026 Labs at the forefront of technological revolution! We're pioneering quantum computing solutions that will redefine industries by 2026. As a Quantum Computing Researcher, you'll develop next-gen algorithms and architectures to solve previously unsolvable problems in cryptography, materials science, and artificial intelligence. Our state-of-the-art facility in Austin's tech corridor offers unparalleled resources and a collaborative environment where your breakthroughs will shape tomorrow's digital landscape.

Responsibilities

  • Design and implement novel quantum algorithms for practical industrial applications
  • Lead experimental quantum computing projects using superconducting and photonic systems
  • Collaborate with cross-functional teams to integrate quantum solutions with classical computing frameworks
  • Publish research in peer-reviewed journals and present at international conferences
  • Develop error-correction protocols to achieve fault-tolerant quantum computation
  • Secure and manage quantum cloud computing resources for research initiatives
  • Mentor junior researchers and contribute to patent development

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field
  • 3+ years of hands-on experience with quantum programming languages (Q#, Qiskit, Cirq)
  • Published research in quantum error correction or algorithm development
  • Expertise in quantum hardware platforms (superconducting, trapped ions, or photonic)
  • Strong background in linear algebra, probability theory, and computational complexity
  • Experience with high-performance computing environments and parallel programming
  • Track record of translating theoretical concepts into practical implementations

Required Skills

Quantum Computing Quantum Algorithms Qiskit Q# Error Correction Superconducting Qubits Photonic Computing High-Performance Computing Cryptography Machine Learning

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