Job Description
Shape the technological frontier at QuantumLeap Systems. We're seeking a visionary 2026 AI Infrastructure Architect to design next-generation cloud-native solutions that will redefine industries. Join our elite R&D team in Austin, Texas, where innovation meets execution. Your work will directly impact how enterprises leverage AI by 2026, creating scalable, secure, and ethically-driven frameworks.
This role offers unparalleled growth opportunities, competitive equity, and the chance to collaborate with Nobel laureates and Turing Award winners. We provide cutting-edge resources and a flexible hybrid work environment.
Responsibilities
- Design and implement quantum-resistant AI infrastructure architectures for 2026-scale deployments
- Lead cross-functional teams in developing federated learning systems across global data centers
- Architect zero-trust security frameworks for AI/ML pipelines
- Optimize compute resource allocation for exascale AI workloads
- Develop ethical AI governance frameworks compliant with evolving regulations
- Create migration strategies for legacy systems to next-gen AI platforms
- Conduct performance benchmarking and cost optimization for AI infrastructure
Qualifications
- 10+ years in distributed systems architecture with 5+ years in AI/ML infrastructure
- Expertise in Kubernetes, Terraform, and multi-cloud environments (AWS/GCP/Azure)
- PhD in Computer Science or equivalent with published research in AI scalability
- Deep understanding of quantum computing principles and post-quantum cryptography
- Proven track record of designing systems processing petabyte-scale datasets
- Experience with ethical AI frameworks and regulatory compliance (GDPR, CCPA)
- Strong background in MLOps and CI/CD for AI workflows