Job Description
Join Nexus Innovations at the forefront of 2026's quantum-AI convergence. We're pioneering the next generation of computational intelligence, and we need a visionary architect to design our quantum neural networks. This role bridges theoretical physics and machine learning, creating systems that will redefine industries by 2026.
As our Quantum AI Architect, you'll lead the development of hybrid quantum-classical models, pushing the boundaries of what's computationally possible. You'll collaborate with Nobel laureates, Silicon Valley disruptors, and government agencies to build the infrastructure for tomorrow's intelligent systems.
Responsibilities
- Design and implement quantum neural networks for enterprise-scale AI applications
- Lead cross-functional teams in prototyping quantum algorithms with 99.9% fidelity
- Develop error-correction protocols for quantum-AI hybrid systems
- Partner with hardware teams to optimize quantum processor architectures
- Create strategic roadmaps for quantum-AI integration across industries
- Present breakthrough findings at global tech summits (2026 focus)
- Secure $10M+ in research grants for quantum-AI initiatives
Qualifications
- PhD in Quantum Computing, AI, or related field with 5+ years industry experience
- Published research in Nature/Science on quantum machine learning
- Expertise in Qiskit, Cirq, and D-Wave quantum frameworks
- Proven track record of building scalable quantum algorithms
- Deep understanding of quantum error correction techniques
- Experience securing government/DoD quantum contracts
- Fluency in quantum-AI hybrid system optimization
- Published white papers on 2026 quantum computing roadmap