Job Description
Join Nexus Future Labs as we pioneer the next frontier of computational intelligence. We're seeking a Quantum AI Architect to design and implement hybrid quantum-neural systems that will redefine technological capabilities by 2026. This role sits at the intersection of quantum computing, artificial intelligence, and applied physics, requiring both visionary thinking and hands-on technical expertise.
You'll lead a cross-disciplinary team of physicists, machine learning engineers, and security specialists to develop scalable quantum algorithms. The ideal candidate thrives in ambiguous environments and possesses a deep understanding of quantum error correction, NISQ-era limitations, and classical-quantum hybrid architectures. This is your opportunity to shape technologies that will solve previously intractable problems in drug discovery, climate modeling, and materials science.
Responsibilities
- Design and prototype quantum machine learning algorithms for enterprise-scale applications
- Develop hybrid quantum-classical computing frameworks optimized for 2026 hardware capabilities
- Lead research into quantum-resistant cryptography implementations
- Collaborate with hardware teams to co-design quantum processors optimized for AI workloads
- Establish performance benchmarks and validation protocols for quantum AI systems
- Present breakthrough findings at industry conferences and publish in peer-reviewed journals
- Secure $5M+ in research funding through DARPA/NSF proposals
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or Machine Learning (or equivalent experience)
- 5+ years implementing quantum algorithms on real quantum hardware
- Published research in quantum machine learning or quantum information theory
- Expertise in Python, Qiskit, and quantum circuit optimization
- Deep understanding of quantum error correction codes (surface, color, LDPC)
- Experience with high-performance computing clusters and GPU acceleration
- Proven track record of securing government/industry research grants