Job Description
Join Nexus Quantum Solutions at the forefront of computational evolution. We're pioneering quantum-AI fusion systems that will redefine industries by 2026. As a Quantum AI Systems Architect, you'll design next-gen frameworks merging quantum computing with machine learning to solve previously unsolvable challenges. Our team operates at the intersection of theoretical physics and applied AI, building infrastructure that processes data in quantum parallelism while maintaining classical interfaces. This role demands both visionary thinking and hands-on implementation in a collaborative, future-focused environment.
Responsibilities
- Architect quantum-AI hybrid systems leveraging qubit entanglement and neural networks
- Develop error-correction protocols for quantum machine learning pipelines
- Optimize quantum algorithms for real-time AI inference on hybrid hardware
- Design fault-tolerant quantum neural networks with 1000+ qubit scalability
- Lead cross-functional teams of physicists, ML engineers, and hardware specialists
- Research quantum supremacy applications in cryptography and drug discovery
- Create blueprints for quantum-AI cloud infrastructure with classical API integration
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with 5+ years relevant experience
- Expertise in quantum machine learning frameworks (e.g., Qiskit, PennyLane)
- Proven track record designing quantum algorithms with practical implementations
- Deep understanding of quantum error correction and fault tolerance
- Proficiency in Python, TensorFlow/PyTorch, and quantum assembly languages
- Published research in quantum-AI convergence or equivalent industry breakthroughs
- Experience leading technical teams through full development lifecycle