Job Description
Join QuantumLeap Technologies at the forefront of 2026's AI revolution! We're seeking a visionary Infrastructure Engineer to architect and deploy next-generation quantum computing systems that will redefine technological boundaries. In this pivotal role, you'll design resilient cloud-native frameworks for AI model training, optimize quantum-classical hybrid workflows, and pioneer solutions for the computational demands of 2030. Our team operates at the intersection of quantum physics, distributed systems, and machine learning—where innovation isn't just encouraged, it's required.
Responsibilities
- Design and implement quantum-classical hybrid computing infrastructure supporting terascale AI models
- Architect fault-tolerant cloud-native environments for quantum-optimized workloads
- Develop automation frameworks for distributed quantum resource orchestration
- Optimize quantum algorithms for hybrid computing architectures
- Implement security protocols for quantum-encrypted data transmission
- Lead migration of legacy systems to 2026 quantum-ready infrastructure
- Collaborate with research teams to prototype next-gen computational paradigms
Qualifications
- 5+ years in distributed systems engineering with cloud-native environments
- Expertise in quantum computing frameworks (Qiskit, Cirq, or PennyLane)
- Proficiency in container orchestration (Kubernetes, OpenShift) at petabyte scale
- Experience with quantum-secure cryptography implementations
- Deep understanding of hybrid quantum-classical ML pipelines
- Strong background in high-performance computing (HPC) architectures
- Certification in quantum engineering or equivalent advanced studies