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Quantum AI Systems Architect

Nexus Quantum Labs
Austin
Estimated Salary
USD 180.000 – USD 280.000
Live Update
12 Mei 2026
Deadline
12 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-generation hybrid quantum-neural systems that redefine computational boundaries. Our Austin hub offers a cutting-edge environment where your expertise in quantum mechanics, machine learning, and distributed systems will directly impact breakthroughs in drug discovery, climate modeling, and cryptography.

We value intellectual curiosity and collaborative innovation. You'll work alongside Nobel laureates and Turing Award winners in our state-of-the-art facility with access to quantum annealers, photonic processors, and neuromorphic computing arrays. This role offers unparalleled growth opportunities as we expand our quantum AI research division.

Responsibilities

  • Design scalable quantum AI architectures integrating QPU, GPU, and neuromorphic computing frameworks
  • Develop hybrid quantum-classical algorithms for optimization and machine learning tasks
  • Lead quantum neural network implementations using Qiskit, Cirq, and D-Wave's Leap API
  • Optimize quantum error correction protocols for fault-tolerant AI systems
  • Collaborate with hardware teams to co-design quantum-AI accelerators
  • Establish quantum security protocols for AI model training and inference
  • Publish research in top-tier journals and present at IEEE Quantum Week

Qualifications

  • PhD in Quantum Computing, AI, or Computational Physics (MS with 5+ years experience)
  • Expertise in quantum algorithms (Shor's, Grover's, VQE) and quantum machine learning
  • Proficiency in quantum programming languages (Q#, Qiskit, PennyLane)
  • Experience with quantum cloud platforms (IBM Quantum, Amazon Braket, Azure Quantum)
  • Strong background in distributed computing frameworks (Kubernetes, Ray) and GPU acceleration
  • Published research in quantum computing or quantum machine learning
  • Deep understanding of quantum error correction and fault tolerance

Required Skills

Quantum Computing Machine Learning Qiskit Cirq Q# Quantum Algorithms Distributed Systems GPU Acceleration Python C++ TensorFlow PyTorch

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