Job Description
Join our pioneering team at Nexus Future Labs to architect the quantum-AI convergence that will define 2026. We're seeking a visionary Quantum AI Systems Architect to design next-generation computational frameworks that bridge quantum supremacy and artificial intelligence. This role sits at the intersection of quantum mechanics, machine learning, and distributed systems, requiring deep technical expertise and strategic foresight. You'll lead the development of hybrid quantum-classical architectures that solve previously intractable problems in drug discovery, climate modeling, and materials science. Our culture thrives on intellectual curiosity and bold innovation – if you're passionate about building the computational infrastructure of tomorrow, this is your calling.
Responsibilities
- Design scalable quantum-AI hybrid systems for enterprise-scale applications
- Develop error-correction protocols for quantum neural networks
- Lead cross-functional teams in implementing quantum-optimized ML pipelines
- Architect fault-tolerant quantum computing infrastructures
- Research and integrate emerging quantum algorithms with AI frameworks
- Collaborate with R&D to prototype next-gen quantum processors
- Define security protocols for quantum-encrypted AI workflows
Qualifications
- PhD in Quantum Computing, Computer Science, or Physics (MS with 5+ years experience)
- Expertise in quantum machine learning algorithms (QML, VQE, QAOA)
- Proficiency with quantum programming frameworks (Qiskit, Cirq, PennyLane)
- Experience with distributed systems and high-performance computing
- Published research in quantum-AI convergence or related fields
- Strong knowledge of quantum error correction and fault tolerance
- Ability to translate complex quantum concepts into executable architectures