Job Description
Join QuantumLeap Dynamics at the forefront of 2026's AI revolution as we pioneer next-generation quantum-AI hybrid systems. We're seeking a visionary AI Infrastructure Architect to design the computational backbone that will power humanity's most advanced autonomous systems. This role demands a fusion of hardware-software expertise and futuristic thinking to architect solutions for trillion-parameter models and quantum-accelerated workloads.
You'll lead a cross-disciplinary team of quantum engineers, AI researchers, and cloud architects to build fault-tolerant, scalable infrastructure capable of real-time neural network training at unprecedented scales. Your work will directly impact breakthroughs in autonomous decision-making, predictive climate modeling, and personalized medicine.
Responsibilities
- Design and implement quantum-AI hybrid computing architectures for 2026-scale workloads
- Architect fault-tolerant distributed systems supporting trillion-parameter neural networks
- Develop predictive provisioning algorithms for dynamic quantum-accelerated resource allocation
- Lead security frameworks for AI models processing sensitive real-time data streams
- Optimize hardware-software co-design for quantum-classical computing convergence
- Establish performance benchmarks for next-gen AI training at exascale scale
- Drive innovation in neuromorphic computing integration with traditional HPC clusters
Qualifications
- PhD or equivalent in Quantum Computing, AI Systems, or Computational Physics
- 8+ years designing distributed AI infrastructure at hyperscale (AWS/Azure/GCP)
- Expertise in quantum circuit compilation and error correction protocols
- Proven track record optimizing AI workloads for specialized hardware (TPUs/Quantum Processors)
- Deep knowledge of neuromorphic computing architectures (Intel Loihi, IBM TrueNorth)
- Published research in top-tier AI/ML conferences (NeurIPS, ICML, QIP)
- Security clearance eligibility for handling sensitive government research projects