Job Description
Join QuantumLeap Innovations at the forefront of technological evolution as we build the intelligent systems of tomorrow. As our 2026 AI Systems Architect, you'll design next-generation neural networks that power autonomous ecosystems, predictive analytics platforms, and human-AI collaboration interfaces. This role demands visionary thinking paired with hands-on expertise to architect solutions that will redefine industries within the next 2-3 years. You'll work in our state-of-the-art San Francisco hub alongside Nobel laureates, Turing Award recipients, and disruptive innovators who share your passion for pushing computational boundaries.
Responsibilities
- Architect scalable neural networks for multi-agent AI systems with 10M+ parameter models
- Design quantum-classical hybrid computing frameworks for real-time decision-making
- Develop ethical AI governance frameworks aligned with 2026 regulatory standards
- Create simulation environments for autonomous system testing in complex scenarios
- Lead cross-disciplinary teams of bioengineers, neuroscientists, and robotics specialists
- Patent breakthrough AI methodologies for next-gen human-machine interfaces
- Partner with Fortune 500 clients to implement 2030-ready cognitive architectures
Qualifications
- PhD in Computer Science, Cognitive Systems, or Quantum Engineering (or equivalent experience)
- 8+ years architecting production-grade neural networks at scale (GPT-4+ level)
- Published research in Nature/Science on quantum machine learning or neuromorphic computing
- Expertise in federated learning and differential privacy for ethical AI deployment
- Proficiency in PyTorch 3.0+, TensorFlow Quantum, and quantum circuit design
- Proven track record of launching AI systems processing petabytes of real-time data
- Experience securing DARPA/NSF grants for forward-looking AI research initiatives