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Information Technology 🏢 Full Time ⭐️ Verified

Quantum Computing Architect

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

Job Description

Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Quantum Computing Architect to design next-gen computational frameworks that will redefine industries. You'll collaborate with Nobel laureates and industry disruptors in our Austin innovation hub, where cutting-edge research meets real-world application.

This role offers unparalleled opportunities to shape the quantum landscape while enjoying competitive compensation, equity packages, and flexible work arrangements. Our state-of-the-art facilities in Austin's Tech District provide the perfect environment for breakthrough thinking.

Responsibilities

  • Design and implement scalable quantum algorithms for commercial applications
  • Lead cross-functional teams in developing quantum-resistant encryption systems
  • Architect hybrid quantum-classical computing architectures for enterprise solutions
  • Conduct research on topological qubits and error correction methodologies
  • Develop quantum machine learning frameworks for predictive analytics
  • Collaborate with hardware teams to optimize quantum processor interfaces
  • Present findings at international quantum computing symposiums

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 5+ years of experience in quantum algorithm development
  • Proficiency in quantum programming languages (Qiskit, Cirq, Quipper)
  • Expertise in quantum error correction techniques
  • Publication record in peer-reviewed quantum computing journals
  • Strong background in topological quantum systems
  • Experience with high-performance computing architectures
  • Security clearance eligibility preferred

Required Skills

Quantum Computing Algorithm Design Topological Qubits Error Correction Qiskit Cirq Machine Learning Cryptography

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