Job Description
Join QuantumLeap Labs at the forefront of 2026's technological revolution! We're seeking visionary AI Systems Architects to design next-generation quantum-AI hybrid systems that will redefine human-computer interaction. As a key innovator in our San Francisco R&D hub, you'll architect neural-quantum interfaces that process exabyte-scale datasets in real-time, transforming industries from healthcare to climate science. Collaborate with Nobel laureates and pioneer solutions for autonomous decision-making systems with zero-latency feedback loops. This is your chance to shape the neural networks of tomorrow.
Responsibilities
- Design scalable quantum-AI hybrid architectures with <10ms latency
- Develop neural-quantum interfaces for real-time exabyte data processing
- Lead cross-disciplinary teams in autonomous system prototyping
- Implement fault-tolerant quantum error correction algorithms
- Optimize neural networks for quantum hardware acceleration
- Architect zero-latency feedback loops for adaptive learning systems
- Validate system performance in simulated 2026-edge computing environments
Qualifications
- PhD in Quantum Computing or Advanced AI with 5+ years experience
- Expertise in quantum machine learning frameworks (Qiskit, Cirq)
- Published research in Nature/Science on quantum-AI integration
- Proficiency in neuromorphic computing architectures (Loihi, IBM TrueNorth)
- Experience with exascale distributed computing systems
- Certification in quantum-safe cryptography (NIST standards)
- Portfolio demonstrating deployed quantum-AI hybrid systems