Job Description
Shape the future of technology as an AI Systems Architect at QuantumLeap Dynamics. We're pioneering next-gen neural networks and quantum computing interfaces for 2026's breakthrough applications. Join our multidisciplinary team to architect scalable AI solutions that bridge quantum-classical paradigms while solving humanity's most complex challenges. This role offers unparalleled opportunities to influence emerging tech standards and lead transformative projects in our state-of-the-art San Francisco R&D hub.
Responsibilities
- Design hybrid quantum-classical AI architectures for 2026-era applications
- Lead development of real-time neural network optimization frameworks
- Collaborate with quantum computing teams to integrate qubit-based processing
- Architect secure federated learning systems across decentralized networks
- Develop ethical AI governance protocols for autonomous decision systems
- Optimize large-scale AI models for edge computing deployment
- Pioneer human-AI symbiotic interfaces for next-gen industrial control systems
Qualifications
- PhD in Computer Science, Quantum Computing, or AI with 5+ years industry experience
- Expertise in PyTorch/TensorFlow with quantum computing integration experience
- Published research in top-tier AI/ML conferences (NeurIPS, ICML, or equivalent)
- Proficiency in quantum programming languages (Qiskit, Cirq, or PennyLane)
- Strong background in distributed systems and blockchain consensus mechanisms
- Experience with neuromorphic computing hardware (Intel Loihi, IBM TrueNorth)
- Demonstrated ability to lead cross-functional technical teams on complex projects