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Quantum AI Systems Architect

Nexus Quantum Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
21 Mei 2026
Deadline
21 Mei 2027

Job Description

Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering the fusion of quantum computing and artificial intelligence to solve humanity's most complex challenges. As a Quantum AI Systems Architect, you'll design next-gen computational frameworks that transcend classical limitations. Our Austin hub offers state-of-the-art facilities and a collaborative environment where your innovations will directly impact industries from healthcare to climate modeling.

This role demands a visionary thinker who thrives at the intersection of quantum mechanics, machine learning, and distributed systems. You'll work alongside Nobel laureates and Turing Award winners to prototype systems that will redefine computational possibilities. We offer competitive equity packages, unlimited learning stipends, and the opportunity to shape tomorrow's digital infrastructure.

Responsibilities

  • Architect hybrid quantum-classical AI systems for enterprise-scale optimization problems
  • Design fault-tolerant quantum neural networks with 10,000+ qubit scalability
  • Develop error-correction protocols for real-time quantum machine learning inference
  • Create quantum-secure cryptographic frameworks for next-gen data protection
  • Lead cross-disciplinary R&D teams in prototyping quantum-accelerated AI models
  • Translate theoretical quantum algorithms into deployable cloud-native solutions
  • Secure patents for novel quantum-AI integration methodologies

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science with 5+ years industry experience
  • Expertise in quantum programming languages (Q#, Qiskit, Cirq) and quantum circuit design
  • Proven track record publishing in Nature/Science journals on quantum-AI convergence
  • Mastery of tensor networks and quantum machine learning frameworks
  • Experience with high-performance computing architectures (HPC, GPU/TPU clusters)
  • Certification in quantum hardware platforms (IBM Quantum, Rigetti, IonQ)
  • Deep understanding of quantum error correction and topological qubit manipulation

Required Skills

Quantum Computing AI/ML Qiskit Cirq Q# Quantum Error Correction Tensor Networks HPC Cryptography

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