Job Description
Shape the future of artificial intelligence at QuantumLeap Technologies. We're seeking a visionary 2026 AI Infrastructure Architect to design next-generation systems that will power AI breakthroughs beyond current capabilities. Join our elite team at the forefront of quantum computing and neural network evolution.
Your Impact:
You will architect scalable, fault-tolerant AI infrastructure supporting terascale neural networks while pioneering energy-efficient quantum-classical hybrid systems. Lead the technical vision for our 2026 AI roadmap, collaborating with Nobel laureates and industry disruptors.
What We Offer:
Equity in a pre-IPO unicorn, unlimited R&D budget, and the opportunity to patent breakthrough technologies. Work in our state-of-the-art facility overlooking the Golden Gate Bridge, with access to our quantum computing lab and AI simulation supercluster.
Responsibilities
- Design quantum-accelerated AI infrastructure supporting 10,000+ qubit systems
- Architect self-healing neural networks with dynamic resource allocation
- Lead cross-functional teams in implementing predictive maintenance protocols
- Develop zero-trust security frameworks for distributed AI ecosystems
- Optimize hyperparameter tuning at petabyte-scale data processing
- Create federated learning architectures for cross-border AI collaboration
- Document infrastructure blueprints in ISO 27001-compliant frameworks
Qualifications
- PhD in Computer Science/Engineering with focus on quantum AI or equivalent experience
- 8+ years designing large-scale distributed systems (Kubernetes, Spark, TensorFlow)
- Expertise in quantum computing frameworks (Qiskit, Cirq, PennyLane)
- Proven track record of patenting AI infrastructure innovations
- Deep understanding of neuromorphic computing architectures
- Fluency in Rust and C++ for low-level system optimization
- Certifications in AWS/Azure quantum services and Google Quantum AI
- Published research in top-tier AI/quantum conferences (NeurIPS, QIP)