Job Description
Join our elite 2026 R&D team at QuantumLeap Innovations, where we're architecting the next generation of AI systems that will redefine human-machine interaction. As an AI Systems Architect, you'll lead the design and implementation of cutting-edge neural networks and quantum-entangled computing frameworks. This role offers unparalleled opportunity to shape the technological landscape of tomorrow while working in our state-of-the-art San Francisco innovation hub.
Responsibilities
- Design and deploy scalable AI architectures using quantum computing principles
- Lead cross-functional teams in developing next-gen neural network topologies
- Research and integrate emerging technologies like neuromorphic chips and edge AI
- Optimize system performance for real-time 2026-era applications
- Develop ethical AI governance frameworks for autonomous decision systems
- Collaborate with quantum physicists on hybrid AI-quantum algorithms
- Architect secure-by-design frameworks for distributed AI ecosystems
Qualifications
- PhD in Computer Science, Quantum Computing, or related field (or equivalent experience)
- 5+ years designing production AI systems with distributed architectures
- Expertise in quantum machine learning frameworks (Qiskit, Cirq)
- Published research in top-tier AI/quantum computing conferences
- Proficiency in Python, TensorFlow/PyTorch, and low-level quantum assembly
- Experience with neuromorphic hardware (Intel Loihi, IBM TrueNorth)
- Deep understanding of ethical AI alignment and safety protocols
- Track record of leading projects with 10M+ user impact