Job Description
Join QuantumLeap Technologies at the forefront of technological evolution as we build the AI infrastructure that will redefine industries by 2026. We're seeking visionary AI Systems Architects to design, implement, and optimize next-generation neural networks and quantum computing interfaces. This role offers unparalleled opportunities to shape the future of artificial intelligence while working in our state-of-the-art Silicon Valley facility.
As part of our elite 2026 Future Labs team, you'll collaborate with Nobel laureates and industry pioneers to solve humanity's most complex challenges. We offer competitive equity packages, flexible hybrid work arrangements, and comprehensive benefits including unlimited learning stipends.
Responsibilities
- Architect scalable AI systems integrating quantum computing and edge processing
- Lead development of neural networks with 10M+ parameter optimization
- Design real-time federated learning frameworks for distributed AI ecosystems
- Implement ethical AI governance frameworks aligned with 2026 regulatory standards
- Optimize AI models for 5G/6G network environments and IoT infrastructures
- Conduct cross-functional R&D in neuromorphic computing and bio-inspired algorithms
- Mentor junior engineers in emerging AI paradigms and quantum machine learning
Qualifications
- PhD in Computer Science/AI or equivalent with 5+ years systems architecture experience
- Expertise in TensorFlow/PyTorch with production-level quantum computing integration
- Proven track record deploying AI systems handling petabyte-scale datasets
- Deep understanding of quantum machine learning and post-quantum cryptography
- Published research in top-tier AI/quantum computing conferences (NeurIPS, QIP)
- Proficiency in C++/Python with experience in low-latency distributed systems
- Strong background in ethical AI frameworks and responsible innovation practices