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Quantum Computing Architect

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

Job Description

Join Nexus Innovations 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 quantum algorithms and infrastructure that will redefine computational boundaries. You'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art Austin R&D center, shaping the future of cryptography, AI, and materials science. This role offers unparalleled opportunities to publish groundbreaking research and lead transformative projects that will impact billions of lives.

Responsibilities

  • Design scalable quantum algorithms for 2026-era applications in cryptography and machine learning
  • Architect fault-tolerant quantum computing infrastructure with 10,000+ qubit capabilities
  • Lead cross-functional teams of physicists and software engineers to build quantum software stacks
  • Develop error-correction protocols achieving 99.9999% qubit stability
  • Collaborate with academic institutions to publish top-tier quantum research papers
  • Drive commercialization of quantum technologies through strategic partnerships

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science with 5+ years industry experience
  • Expertise in quantum error correction codes and fault-tolerant architectures
  • Proficiency in quantum programming languages (Q#, Qiskit, Cirq) and classical high-performance computing
  • Proven track record of publishing in Nature/Science journals or IEEE Transactions
  • Experience leading quantum hardware-software co-design projects
  • Deep understanding of quantum supremacy benchmarks and NISQ limitations
  • Strong background in topological quantum computing or quantum annealing

Required Skills

Quantum Computing Fault-Tolerant Design Quantum Algorithms Qiskit Q# High-Performance Computing Cryptography Machine Learning Error Correction

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