Job Description
Join Nexus Futura Labs at the forefront of quantum-AI convergence. We're pioneering solutions for 2026's computational landscape, requiring a visionary architect to design next-gen quantum neural networks. This role demands expertise in quantum algorithms, machine learning frameworks, and scalable quantum computing architectures. You'll lead R&D initiatives pushing the boundaries of computational intelligence while collaborating with Nobel-caliber researchers in our Austin innovation hub.
Responsibilities
- Design quantum-AI hybrid systems for 2026-era computational challenges
- Develop fault-tolerant quantum neural network architectures
- Lead cross-disciplinary R&D teams in quantum algorithm optimization
- Architect scalable quantum cloud platforms for enterprise clients
- Establish quantum security protocols for next-gen AI models
- Author technical whitepapers on quantum-AI convergence
- Partner with hardware teams to co-design quantum processors
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science
- 5+ years experience in quantum algorithm development
- Proficiency in Qiskit, Cirq, and quantum circuit optimization
- Expertise in transformer architectures and deep learning frameworks
- Published research in top-tier quantum/AI journals
- Experience with quantum error correction techniques
- Demonstrated ability to lead technical teams in emerging tech
- Strong background in computational complexity theory