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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
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We seek a visionary Quantum Computing Architect to design next-gen systems that will redefine computational boundaries. This hybrid role offers unparalleled opportunity to shape the future of AI, cryptography, and materials science while working with industry-leading quantum hardware and software stacks. Our Austin headquarters features state-of-the-art laboratories and a collaborative innovation culture where your quantum expertise will directly impact global technological advancement.

Responsibilities

  • Design scalable quantum circuit architectures for enterprise applications
  • Develop error mitigation protocols for 100+ qubit systems
  • Collaborate with hardware teams to optimize quantum-classical hybrid workflows
  • Create quantum algorithms for machine learning and optimization problems
  • Lead security implementations for quantum-resistant cryptography
  • Document quantum system specifications and performance benchmarks
  • Mentor junior quantum engineers on cutting-edge research methodologies

Qualifications

  • PhD in Physics, Computer Science, or related field (MS with 5+ years experience)
  • Expertise in quantum programming languages (Qiskit, Cirq, Q#)
  • Published research in quantum algorithms or quantum error correction
  • Experience with superconducting or ion-trap quantum processors
  • Strong background in linear algebra and quantum information theory
  • Proficiency in high-performance computing environments
  • Knowledge of NISQ-era limitations and fault-tolerant design principles
  • Certification in quantum cloud platforms (IBM Quantum, Amazon Braket)

Required Skills

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

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