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Quantum Computing Architect

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

Job Description

Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering quantum computing solutions that will redefine industries, and we're seeking a visionary Quantum Computing Architect to design the next generation of quantum systems. In this role, you'll architect scalable quantum architectures, optimize qubit stability, and collaborate with Nobel laureates to push the boundaries of computational physics. Our Austin hub offers state-of-the-art labs and a culture where curiosity fuels innovation. If you're passionate about solving problems deemed impossible by classical computers, this is your calling.

Responsibilities

  • Design and implement fault-tolerant quantum computing architectures for 2026-era applications
  • Lead R&D in quantum error correction and qubit stabilization techniques
  • Collaborate with cross-functional teams to integrate quantum solutions with classical systems
  • Develop quantum algorithms for optimization, cryptography, and machine learning
  • Secure patents and publish breakthrough research in top-tier journals
  • Mentor junior quantum engineers and foster a culture of scientific excellence

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field (MS with exceptional experience considered)
  • 5+ years in quantum computing architecture or quantum algorithm development
  • Expertise in quantum error correction, topological qubits, and quantum supremacy
  • Proficiency with quantum programming languages (Qiskit, Cirq) and simulation frameworks
  • Published research in quantum computing or peer-reviewed journals
  • Experience leading complex technical projects with cross-disciplinary teams
  • Deep understanding of quantum hardware limitations and scalability challenges

Required Skills

Quantum Computing Quantum Algorithms Quantum Error Correction Qiskit Cirq Quantum Hardware Cryptography Machine Learning

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