Job Description
Join Nexus Future Labs at the forefront of technological evolution as we pioneer the next generation of quantum-AI hybrid systems. This senior role demands a visionary leader to architect groundbreaking solutions that will redefine computational capabilities by 2026. You'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art Austin research facility, developing scalable quantum neural networks that solve previously impossible challenges in cryptography, climate modeling, and synthetic biology.
Responsibilities
- Design and implement quantum-AI fusion architectures for 2026-era computational challenges
- Lead cross-disciplinary teams in developing fault-tolerant quantum processors with embedded AI co-processors
- Develop proprietary algorithms for quantum machine learning optimization at scale
- Create strategic roadmaps for quantum security protocols resistant to 2026-era threats
- Drive innovation in quantum-classical hybrid computing for real-time big data analytics
- Secure patents and publish breakthrough research in top-tier journals
- Mentor junior researchers in quantum programming and AI model optimization
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or Advanced Machine Learning
- 5+ years of experience in quantum algorithm development or large-scale AI systems
- Proficiency in quantum programming languages (Qiskit, Cirq) and AI frameworks (PyTorch, TensorFlow)
- Published research in quantum machine learning or quantum information theory
- Expertise in quantum error correction and fault-tolerant computing principles
- Demonstrated success in leading complex R&D projects with cross-functional teams
- Deep understanding of 2026-era quantum hardware capabilities and limitations