Job Description
Join Nexus Labs at the forefront of quantum-AI convergence to build the computational infrastructure for 2026 and beyond. We're seeking a visionary Quantum AI Architect to pioneer hybrid quantum-neural systems that will redefine machine learning paradigms. This role offers unparalleled opportunity to shape the next generation of autonomous systems, drug discovery protocols, and climate modeling algorithms.
What you'll achieve: Design fault-tolerant quantum circuits integrated with transformer architectures, lead cross-disciplinary R&D teams, and publish breakthrough research in Nature/Science. You'll directly influence our roadmap for deploying quantum advantage in enterprise-scale AI deployments.
Responsibilities
- Architect hybrid quantum-classical computing frameworks for 2026-era AI workloads
- Lead development of quantum-optimized neural networks with >1000-qubit scalability
- Collaborate with MIT/Caltech researchers on error-correction protocols
- Drive implementation of quantum-inspired algorithms for real-time data fusion
- Establish industry benchmarks for quantum-AI performance metrics
- Mentor PhD candidates in quantum machine learning initiatives
Qualifications
- PhD in Quantum Computing/Physics or equivalent with 5+ years R&D
- Published research in top-tier quantum/AI journals (arXiv:2201.12345)
- Expertise in Qiskit/PennyLane with >50 quantum circuit designs
- Proven track record scaling ML models to 1000+ parameter systems
- Deep understanding of tensor networks and quantum annealing
- Experience with AWS Braket/IBM Quantum services