Job Description
Join Nexus Future Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI fusion systems that will redefine computational boundaries. As a Quantum AI Integration Specialist, you'll architect hybrid systems merging quantum processors with neural networks, solving previously unsolvable challenges in cryptography, climate modeling, and autonomous systems. Our Austin hub offers state-of-the-art facilities and collaborative cross-disciplinary teams working on projects that will shape the next decade of innovation.
We value disruptive thinking and offer competitive equity packages, flexible hybrid work arrangements, and dedicated R&D time for experimental projects. This role requires deep expertise in both quantum mechanics and machine learning architectures.
Responsibilities
- Design and implement quantum-AI hybrid algorithms for real-world problem solving
- Develop error-correction protocols for quantum-neural network interfaces
- Lead integration of quantum processors with classical AI frameworks
- Collaborate with physicists and ML engineers to optimize hybrid system performance
- Research novel applications in quantum machine learning and secure AI
- Document breakthrough methodologies and publish in leading journals
- Mentor junior researchers in quantum-AI convergence principles
Qualifications
- PhD in Quantum Computing, Physics, or Machine Learning (or equivalent experience)
- Proficiency in quantum programming languages (Qiskit, Cirq, or Q#)
- Expertise in deep learning frameworks (TensorFlow/PyTorch) and classical AI
- Published research in quantum machine learning or quantum information theory
- Experience with high-performance computing clusters and GPU acceleration
- Strong background in linear algebra, quantum mechanics, and probability theory
- Proven ability to translate complex theoretical concepts into practical implementations