Job Description
Join Nexus Quantum Labs at the forefront of computational evolution. We're seeking a visionary Quantum AI Systems Architect to design and implement next-generation quantum neural networks that will redefine machine learning by 2026. This role bridges quantum physics, artificial intelligence, and distributed systems in a cutting-edge R&D environment.
As part of our elite Future Technologies division, you'll architect hybrid quantum-classical systems that process exascale datasets while maintaining quantum coherence. You'll collaborate with Nobel Prize-winning physicists and lead cross-functional teams to deploy quantum-optimized algorithms for drug discovery, climate modeling, and autonomous systems.
Responsibilities
- Design scalable quantum AI architectures using Qiskit and Cirq frameworks
- Develop error-correction protocols for fault-tolerant quantum computing
- Create hybrid quantum-classical ML pipelines for real-time data processing
- Lead quantum algorithm optimization for NVIDIA H100 and IBM Quantum System Two
- Architect secure quantum communication networks with quantum key distribution
- Mentor junior quantum engineers in advanced tensor network simulations
- Collaborate with hardware teams to co-design quantum processors
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (MS with 8+ years experience)
- Expertise in quantum machine learning and variational quantum algorithms
- Proficiency in Python, Q#, and quantum circuit optimization
- Published research in Nature/Science on quantum computing applications
- Certification in AWS Braket or Azure Quantum services
- Experience with quantum annealing and D-Wave systems
- Deep understanding of quantum error correction surface codes
- Track record of deploying production quantum-classical hybrid systems