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Quantum AI Systems Architect

Nexus Future Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join Nexus Future Labs at the forefront of technological evolution. We're seeking a visionary Quantum AI Systems Architect to design next-generation computing paradigms that will redefine industries by 2026. In this pivotal role, you'll architect hybrid quantum-classical AI systems capable of solving previously unsolvable challenges in materials science, climate modeling, and autonomous systems. Our Austin-based R&D hub offers unparalleled resources to transform theoretical breakthroughs into scalable solutions.

As a pioneer in this emerging field, you'll collaborate with Nobel laureates and industry disruptors to push the boundaries of computational possibility. We provide competitive equity packages, flexible work arrangements, and dedicated quantum lab access. Shape the future of human-machine collaboration while accelerating your career in one of America's most dynamic tech ecosystems.

Responsibilities

  • Design fault-tolerant quantum AI architectures leveraging 100+ qubit processors
  • Develop hybrid quantum-classical machine learning pipelines for real-world applications
  • Create error-correction protocols for quantum neural networks operating at scale
  • Lead cross-disciplinary teams in prototyping quantum-optimized algorithms
  • Architect secure quantum communication channels for distributed AI systems
  • Translate theoretical quantum advantage into practical enterprise solutions
  • Author technical whitepapers on quantum-AI convergence for industry adoption

Qualifications

  • PhD in Quantum Computing, AI, or Computational Physics with 5+ years industry experience
  • Expertise in quantum programming languages (Q#, Quil, or Cirq)
  • Published research in quantum machine learning or quantum error correction
  • Proven track record deploying hybrid quantum-classical systems
  • Deep understanding of NISQ-era limitations and fault-tolerant architectures
  • Experience with cloud quantum platforms (IBM Quantum, Amazon Braket)
  • Strong background in high-performance computing and distributed systems
  • Ability to communicate complex quantum concepts to technical and non-technical stakeholders

Required Skills

Quantum Computing AI Architecture Machine Learning Quantum Algorithms Fault-Tolerant Systems Q# High-Performance Computing Hybrid Quantum-Classical Systems

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