Job Description
Join QuantumLeap Dynamics at the forefront of technological evolution as we build the AI infrastructure that will define 2026. We're seeking a visionary AI Systems Architect to design and implement next-generation neural networks that will power autonomous systems, predictive analytics, and human-AI collaboration platforms. This role sits at the intersection of quantum computing, edge AI, and ethical machine learning, offering unparalleled opportunities to shape the future of intelligent systems.
In our state-of-the-art San Francisco lab, you'll work alongside Nobel-caliber researchers and industry pioneers to develop scalable AI architectures capable of processing petabytes of real-time data while maintaining quantum-grade security. We offer comprehensive benefits including equity, flexible work arrangements, and a $20,000 annual innovation stipend.
Responsibilities
- Design quantum-resistant neural architectures for 2026-era autonomous systems
- Lead development of edge-optimized AI inference engines with sub-5ms latency
- Implement federated learning frameworks for cross-organizational data collaboration
- Create ethical AI governance protocols aligned with 2026 regulatory standards
- Architect multimodal AI systems integrating vision, language, and sensor fusion
- Develop real-time anomaly detection systems for critical infrastructure protection
- Optimize AI training pipelines for quantum-accelerated computing environments
Qualifications
- PhD in Computer Science, AI, or Quantum Computing (or equivalent experience)
- Expertise in transformer architectures and quantum machine learning algorithms
- 5+ years building production-grade AI systems with 99.99% uptime SLAs
- Proficiency in PyTorch, TensorFlow Quantum, and C++ for high-performance systems
- Published research in top-tier AI/ML conferences (NeurIPS, ICML, ICLR)
- Deep understanding of federated learning and differential privacy techniques
- Experience with MLOps pipelines for distributed AI training at scale