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Quantum Computing Architect - 2026 Vision

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

Job Description

Join Nexus Labs at the forefront of quantum revolution as we architect the computational landscape for 2026. We seek a pioneering Quantum Computing Architect to design next-gen systems that will redefine industries. This role demands visionary thinking and hands-on expertise to transform theoretical quantum potential into scalable, real-world solutions. You'll lead cross-disciplinary teams pushing the boundaries of quantum supremacy while ensuring practical commercial viability.

Our Austin-based innovation hub offers unparalleled resources for quantum experimentation and collaborative problem-solving. As a key member of our Future Systems division, you'll directly influence the quantum roadmap that will power breakthroughs in materials science, cryptography, and AI by 2026. We provide competitive compensation, cutting-edge lab access, and a culture where your quantum ideas shape tomorrow's reality.

Responsibilities

  • Design fault-tolerant quantum computing architectures optimized for 2026-era applications
  • Develop hybrid quantum-classical workflows for industrial-scale problem solving
  • Lead quantum algorithm development targeting exponential speedups in optimization and simulation
  • Establish quantum security protocols for next-gen cryptographic systems
  • Collaborate with material scientists to engineer quantum hardware breakthroughs
  • Create quantum training programs to accelerate organizational quantum literacy
  • Author technical white papers on quantum-computing convergence strategies

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science with 5+ years industry experience
  • Proven expertise in quantum error correction and fault-tolerant system design
  • Published research in top-tier quantum computing journals (Nature Quantum, etc.)
  • Mastery of quantum programming languages (Qiskit, Cirq, Q#) and NISQ-era hardware
  • Strong background in quantum machine learning algorithms and applications
  • Demonstrated ability to translate theoretical quantum concepts into engineering specifications
  • Experience leading R&D teams developing quantum-hybrid solutions

Required Skills

Quantum Computing Quantum Algorithms Fault-Tolerant Design Quantum Cryptography Qiskit Cirq Machine Learning System Architecture

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