Job Description
Join Nexus Future Labs at the forefront of technological evolution as we build the quantum-AI infrastructure for 2026. We're seeking a pioneering Quantum AI Architect to design hybrid systems that will redefine computational boundaries. This role combines quantum mechanics, neural networks, and predictive modeling to solve humanity's most complex challenges before they emerge.
Our Austin-based R&D hub operates at the intersection of physics and machine learning, where your work will directly influence the next generation of autonomous systems, climate modeling, and personalized medicine. You'll collaborate with Nobel laureates and AI pioneers in an environment that values audacious innovation.
Responsibilities
- Design scalable quantum-AI hybrid architectures for 2026-era computational demands
- Lead development of error-corrected quantum neural networks
- Integrate quantum processors with classical ML frameworks for exponential speedups
- Develop predictive models for emergent technological paradigms
- Establish quantum security protocols for next-gen autonomous systems
- Mentor cross-disciplinary teams in quantum machine learning principles
- Pioneer novel algorithms for quantum-accelerated generative AI
Qualifications
- PhD in Quantum Computing or Machine Learning (or equivalent experience)
- 5+ years developing quantum algorithms or large-scale neural networks
- Expertise in Qiskit, Cirq, or comparable quantum development frameworks
- Published research in quantum machine learning or theoretical computer science
- Proficiency in high-performance computing and GPU acceleration
- Deep understanding of quantum error correction and fault tolerance
- Experience with MLOps for quantum-classical hybrid systems