Job Description
Join QuantumLeap Systems at the forefront of technological innovation as we build the AI infrastructure that will power the next decade. We're seeking an AI Infrastructure Architect to design, implement, and optimize scalable solutions for our 2026 roadmap. You'll collaborate with visionary teams to transform theoretical AI capabilities into practical, high-performance systems that redefine industry standards.
Why QuantumLeap? We're a leader in quantum-AI fusion research, offering unparalleled opportunities to shape the future of computing. Our state-of-the-art facilities and collaborative culture empower you to tackle groundbreaking challenges with world-class resources.
Responsibilities
- Design and implement distributed AI computing infrastructure supporting terascale model training
- Optimize quantum-AI hybrid systems for peak performance and energy efficiency
- Lead architecture decisions for next-generation neural network deployment pipelines
- Develop disaster recovery protocols for mission-critical AI workloads
- Mentor cross-functional teams on infrastructure best practices and automation
- Research and integrate emerging quantum computing technologies into production environments
- Define KPIs for infrastructure scalability and implement continuous monitoring
Qualifications
- 10+ years in distributed systems architecture with 5+ years specializing in AI/ML infrastructure
- Expertise in Kubernetes, TensorFlow, and PyTorch deployment at scale
- Deep understanding of quantum computing principles and hybrid system integration
- Proven experience designing fault-tolerant systems for mission-critical applications
- Advanced certification in AWS/Azure/GCP with quantum computing specializations
- Strong background in C++ and Python for low-level system optimization
- Published research in AI infrastructure or quantum computing preferred