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Information Technology 🏢 Full Time ⭐️ Verified

Quantum AI Infrastructure Engineer (2026)

Nexus Labs
Austin
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer the quantum-AI frontier for 2026. We seek a visionary Quantum AI Infrastructure Engineer to architect and deploy next-generation hybrid quantum-classical systems that will redefine computational possibilities. This role offers unparalleled opportunity to shape the future of artificial intelligence while working with Nobel Prize-winning researchers in our Austin innovation hub.

Our team operates at the intersection of quantum mechanics, machine learning, and distributed computing, developing solutions for climate modeling, drug discovery, and autonomous systems. You'll collaborate with world-class scientists to build fault-tolerant quantum processors, optimize AI algorithms for quantum advantage, and create the infrastructure that powers tomorrow's breakthroughs.

Responsibilities

  • Design and implement quantum-AI hybrid architectures leveraging Q#, TensorFlow Quantum, and custom frameworks
  • Develop error-corrected quantum circuits for machine learning acceleration tasks
  • Optimize distributed quantum-classical workflows for HPC environments
  • Create secure quantum communication protocols for federated learning systems
  • Build monitoring tools for quantum hardware performance metrics
  • Lead cross-functional teams in deploying quantum-AI solutions to enterprise clients
  • Research emerging quantum algorithms to maintain technological leadership

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field (MS + 5 years experience considered)
  • Expertise in quantum programming (Qiskit, Cirq, Q#) and quantum circuit optimization
  • Proven experience with distributed AI systems (Kubernetes, Ray, TensorFlow/PyTorch)
  • Deep understanding of quantum error correction and fault-tolerance protocols
  • Strong background in high-performance computing and low-latency network architectures
  • Publication record in quantum machine learning or quantum information theory
  • Experience with cloud quantum platforms (IBM Quantum, Amazon Braket, Azure Quantum)

Required Skills

Quantum Computing AI/ML Q# TensorFlow Quantum Distributed Systems HPC Quantum Error Correction Cloud Architecture

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