Job Description
Join QuantumLeap Solutions at the forefront of technological evolution as we build the AI infrastructure that will power 2026 and beyond. We're seeking visionary architects to design next-generation distributed systems that enable breakthrough AI applications. This role combines deep technical expertise with strategic foresight to shape our computational future.
Responsibilities
- Design and implement scalable AI infrastructure supporting 10,000+ GPU clusters
- Architect quantum-classical hybrid computing environments
- Develop fault-tolerant distributed systems for real-time inference
- Optimize neural network training pipelines for exascale performance
- Create security frameworks for AI/ML model lifecycle management
- Lead migration to next-gen storage and networking fabrics
- Establish performance baselines for 2026 workloads
Qualifications
- 8+ years in high-performance computing or distributed systems
- Expertise in Kubernetes, CUDA, and RDMA protocols
- Experience with GPU/TPU orchestration frameworks
- Strong background in machine learning infrastructure
- Knowledge of quantum computing interfaces and compilers
- Proven track record in 10k+ node environment deployments
- Advanced degree in Computer Science or equivalent