Job Description
Join QuantumLeap Technologies at the forefront of 2026's AI revolution! We're seeking an innovative 2026 AI Infrastructure Architect to design and deploy next-generation quantum-AI hybrid systems. Shape the future of artificial intelligence by building scalable, fault-tolerant architectures that power breakthroughs in autonomous systems and predictive analytics. This is your chance to work with Nobel laureates and pioneer technologies that will redefine human-machine collaboration.
As a cornerstone of our R&D division, you'll collaborate with cross-functional teams to translate complex quantum computing requirements into robust infrastructure solutions. Our San Francisco hub offers unparalleled resources, including access to our quantum annealing lab and $2B+ in research funding.
Responsibilities
- Design quantum-AI hybrid architectures supporting 2026-scale neural networks
- Develop fault-tolerant quantum error correction protocols for real-time AI inference
- Lead integration of photonic computing modules with traditional GPU clusters
- Optimize energy-efficient quantum data pipelines for edge computing deployment
- Establish security protocols for quantum-resistant AI model training
- Document architectural blueprints using quantum circuit simulation tools
Qualifications
- PhD in Quantum Computing, Computer Science, or Physics (or equivalent experience)
- 5+ years designing AI/ML infrastructure at petascale or beyond
- Expertise in quantum programming languages (Q#, Qiskit, or Cirq)
- Published research in quantum machine learning or fault-tolerant systems
- Certification in quantum hardware architecture (IBM Qiskit, Google Cirq)
- Proficiency with photonic computing and neuromorphic hardware
- Experience with distributed quantum networking protocols