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Quantum Computing Architect

Nexus 2026 Labs
Austin
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join Nexus 2026 Labs at the forefront of computational revolution. We're seeking a visionary Quantum Computing Architect to design next-generation quantum systems that will redefine technological boundaries. In this pivotal role, you'll lead the development of fault-tolerant quantum processors and pioneer algorithms capable of solving previously unsolvable problems. Collaborate with Nobel laureates and industry disruptors in our state-of-the-art Austin R&D facility, where innovation meets execution. Your work will directly impact breakthroughs in materials science, cryptography, and artificial intelligence.

Responsibilities

  • Design scalable quantum processor architectures with 1000+ qubit capabilities
  • Develop error correction protocols achieving 99.99% fidelity
  • Create hybrid quantum-classical computing frameworks for enterprise applications
  • Lead cross-functional teams of physicists, engineers, and software developers
  • File foundational patents in quantum algorithm design and hardware optimization
  • Partner with Fortune 500 clients to implement quantum solutions
  • Establish industry standards for quantum security protocols

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 5+ years experience in quantum computing architecture or superconducting systems
  • Expertise in quantum error correction and fault-tolerant design
  • Proficiency with Qiskit, Cirq, or equivalent quantum development frameworks
  • Published research in peer-reviewed quantum computing journals
  • Experience with cryogenic engineering and microwave control systems
  • Demonstrated ability to translate theoretical concepts into functional hardware
  • Strong background in machine learning and high-performance computing

Required Skills

Quantum Computing Quantum Error Correction Superconducting Circuits Qiskit Cirq Cryogenic Engineering Machine Learning High-Performance Computing Patent Development

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