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Information Technology 🏢 Full Time ⭐️ Verified

Quantum AI Research Lead

NeuroQuant Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join NeuroQuant Labs at the forefront of 2026's quantum-AI revolution. We're seeking a visionary Quantum AI Research Lead to pioneer breakthroughs at the intersection of quantum computing and artificial intelligence. In this pivotal role, you'll architect next-generation quantum neural networks and lead a multidisciplinary team of physicists, ML engineers, and computational biologists. Our Austin headquarters features state-of-the-art quantum labs and collaborative innovation spaces, offering unparalleled resources to transform theoretical possibilities into tangible solutions. Shape the future of computational intelligence while contributing to projects that will redefine industries from healthcare to cryptography.

Responsibilities

  • Design and implement novel quantum machine learning algorithms for complex pattern recognition
  • Lead cross-functional teams in developing quantum-entangled neural networks
  • Drive research into quantum-biological hybrid computing systems
  • Collaborate with hardware teams to optimize quantum-AI co-design architectures
  • Publish findings in top-tier journals and present at international quantum-AI conferences
  • Secure federal and private research funding for quantum-AI initiatives
  • Mentor PhD researchers and foster an environment of radical innovation

Qualifications

  • PhD in Quantum Physics, Computational Neuroscience, or related field (or equivalent experience)
  • 5+ years of research experience in quantum computing or advanced AI systems
  • Published work in quantum machine learning or quantum information theory
  • Expertise in quantum programming frameworks (Qiskit, Cirq, or PennyLane)
  • Strong background in tensor networks and quantum error correction
  • Proven ability to lead technical research teams and secure funding
  • Deep understanding of quantum-AI hybrid architectures

Required Skills

Quantum Computing Machine Learning Neural Networks Quantum Algorithms Python C++ TensorFlow PyTorch Qiskit

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