Job Description
Join Nexus Innovations at the forefront of 2026's technological revolution as we pioneer the next generation of quantum-AI hybrid systems. We're seeking visionary Quantum AI Architects to design and deploy cutting-edge solutions that will redefine computational boundaries. This role offers unparalleled opportunities to shape the future of machine learning, cryptography, and autonomous systems in a dynamic, innovation-driven environment.
Responsibilities
- Design scalable quantum neural networks for real-world AI applications
- Develop hybrid quantum-classical algorithms for 10x computational efficiency
- Lead cross-disciplinary teams in quantum cryptography implementations
- Architect fault-tolerant quantum processors for AI training workloads
- Optimize quantum machine learning models for edge computing deployment
- Research and integrate emerging quantum technologies (e.g., photonic computing)
- Collaborate with academic institutions on quantum-AI breakthrough projects
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 3+ years developing quantum algorithms or quantum machine learning systems
- Expertise in Python/C++ with quantum SDKs (Qiskit, Cirq, or PennyLane)
- Published research in quantum-AI hybrid systems or quantum ML
- Deep understanding of quantum error correction and fault-tolerant architectures
- Experience with high-performance computing and distributed quantum systems
- Strong background in neural networks and deep learning frameworks