Job Description
Join QuantumLeap Labs at the forefront of technological evolution as we pioneer AI systems that will redefine human capabilities by 2026. We seek visionary researchers to develop autonomous cognitive architectures that blend neural networks with quantum computing principles. This role offers unparalleled resources to transform theoretical models into practical applications that will shape the next decade of innovation.
Responsibilities
- Design and implement hybrid quantum-neural AI frameworks for 2026-era autonomous systems
- Lead cross-functional teams in prototyping next-generation human-AI symbiotic interfaces
- Develop ethical governance protocols for advanced cognitive AI decision-making
- Collaborate with MIT and Stanford on 5-year predictive modeling initiatives
- Translate theoretical research into scalable production-ready architectures
- Publish breakthrough findings in Nature AI and IEEE journals
Qualifications
- PhD in Quantum Computing or Advanced Machine Learning (or equivalent experience)
- 5+ years developing production-level neural quantum hybrid systems
- Published research in top-tier AI/quantum journals (2020-2023)
- Expertise in TensorFlow Quantum, Cirq, and Qiskit frameworks
- Proven track record of deploying autonomous AI systems with >99.9% accuracy
- Deep understanding of ethical AI governance frameworks (EU AI Act, NIST RMF)