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Information Technology 🏢 Full Time ⭐️ Verified

Quantum Computing Architect

Nexus Technologies
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Join Nexus Technologies at the forefront of technological evolution as we pioneer quantum computing solutions for the 2026 digital landscape. We seek a visionary Quantum Computing Architect to design and implement next-generation quantum algorithms that will redefine industries. This role offers unparalleled opportunity to shape the future of computational science while working with world-class researchers in our state-of-the-art Austin innovation hub.

Responsibilities

  • Design scalable quantum algorithms for real-world applications in cryptography, optimization, and machine learning
  • Architect hybrid quantum-classical computing frameworks compatible with emerging 2026 infrastructure standards
  • Lead R&D initiatives in quantum error correction and fault-tolerant systems
  • Collaborate with cross-functional teams to integrate quantum solutions into existing high-performance computing ecosystems
  • Develop quantum simulation models for drug discovery and materials science applications
  • Stay ahead of quantum security protocols to protect next-generation data assets

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field (MS with 8+ years experience considered)
  • Expertise in quantum programming languages (Q#, Qiskit, Cirq) with 3+ years practical implementation
  • Proven track record of developing quantum algorithms for commercial applications
  • Deep understanding of quantum hardware architectures (superconducting, trapped ion, photonic)
  • Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket, Azure Quantum)
  • Strong background in high-performance computing and parallel processing
  • Published research in peer-reviewed quantum computing journals

Required Skills

Quantum Computing Quantum Algorithms Q# Qiskit Cryptography High-Performance Computing Quantum Error Correction Hybrid Systems Quantum Hardware Machine Learning

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