Job Description
Join QuantumLeap Technologies at the forefront of 2026's AI revolution. We're seeking a visionary AI Infrastructure Architect to design, build, and optimize the next-generation computing backbone that will power humanity's most transformative technologies. This role sits at the intersection of quantum computing, neuromorphic engineering, and distributed systems – shaping the digital landscape for the decade ahead.
As a key member of our Future Systems Division, you'll architect solutions for exascale AI workloads while pioneering energy-efficient computing paradigms. Your work will directly impact breakthroughs in autonomous systems, climate modeling, and personalized medicine. If you thrive at the bleeding edge of computational science and want to leave an indelible mark on 2026's technological evolution, this is your calling.
Responsibilities
- Design and implement scalable AI infrastructure supporting 10,000+ GPU/quantum hybrid clusters
- Develop neuromorphic computing frameworks for ultra-low-power edge deployment
- Architect zero-trust security protocols for federated learning environments
- Optimize compute fabrics for real-time inference of 2026's trillion-parameter models
- Lead migration strategies from legacy HPC to quantum-accelerated workflows
- Create blueprints for energy-efficient AI data centers using liquid cooling and renewable integration
Qualifications
- 10+ years in distributed systems architecture with 5+ years specializing in AI/ML infrastructure
- Expertise in Kubernetes, Ray, and hybrid-cloud orchestration frameworks
- Deep knowledge of quantum computing interfaces (Qiskit, Cirq) and NISQ-era constraints
- Proven track record designing petabyte-scale data pipelines for real-time AI
- Published research in neuromorphic engineering or quantum machine learning
- Certification in Google Cloud/Azure AI architecture and AWS Quantum Technologies
- Experience with carbon-aware computing and sustainable data center design