Job Description
Join NeuraVision Labs at the forefront of 2026's quantum-AI convergence revolution. We're seeking a visionary Quantum AI Architect to design next-generation neural networks that harness quantum computing principles. This role bridges theoretical physics and practical machine learning to solve previously unsolvable computational challenges.
Our Austin hub offers cutting-edge labs and collaborative spaces where you'll work with Nobel laureates and Turing Award winners. You'll shape how humanity approaches climate modeling, drug discovery, and autonomous systems through quantum-entangled neural architectures.
Responsibilities
- Design scalable quantum neural networks for 2026-era computational demands
- Lead development of hybrid quantum-classical AI frameworks
- Pioneer error-correction protocols for quantum machine learning
- Collaborate with quantum hardware teams to optimize algorithm-hardware interfaces
- Develop patents for quantum-AI convergence methodologies
- Mentor cross-disciplinary teams in quantum machine learning principles
- Publish breakthrough research in Nature/Science journals
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or equivalent experience
- 5+ years implementing quantum algorithms on real hardware
- Expertise in TensorFlow Quantum, PennyLane, or Qiskit
- Published work in quantum machine learning or quantum AI
- Deep understanding of quantum error correction and fault tolerance
- Experience with superconducting and photonic quantum systems
- Proven ability to translate theoretical models into practical implementations